{"id":42494,"date":"2026-08-26T13:50:35","date_gmt":"2026-08-26T13:50:35","guid":{"rendered":"https:\/\/blog.nuovawebs.com\/?p=42494"},"modified":"2026-08-26T13:50:35","modified_gmt":"2026-08-26T13:50:35","slug":"understanding-the-regulatory-landscape-for-research-peptides-in-the-uk","status":"publish","type":"post","link":"https:\/\/blog.nuovawebs.com\/index.php\/2026\/08\/26\/understanding-the-regulatory-landscape-for-research-peptides-in-the-uk\/","title":{"rendered":"Understanding the Regulatory Landscape for Research Peptides in the UK"},"content":{"rendered":"<p>Unlock the Power of Peptides UK for a Healthier, Stronger You<\/p>\n<p>Peptides UK is your go-to spot for high-quality research peptides, backed by third-party testing and fast, discreet delivery. Whether you\u2019re diving into lab work or exploring new compounds, we make it easy to find exactly what you need without the fuss. <strong>Science-grade purity<\/strong> at prices that won\u2019t break the bank\u2014simple as that.<\/p>\n<h2>Understanding the Regulatory Landscape for Research Peptides in the UK<\/h2>\n<p>The regulatory landscape for research peptides in the UK is defined by the Human Medicines Regulations 2012, which categorizes most peptides as medicinal products, thereby prohibiting their supply for human consumption without a Marketing Authorisation. However, a legal loophole permits their sale as laboratory reagents, provided they are explicitly labeled \u201cfor research use only\u201d and not intended for human or animal administration. The Medicines and Healthcare products Regulatory Agency (MHRA) actively monitors compliance, and Non-UK suppliers often exploit cross-border sales, creating grey areas. Researchers must ensure peptides are sourced from vendors adhering to Good Manufacturing Practice (GMP) and import rules, as customs seizures can occur for misdeclared shipments. Additionally, the Psychoactive Substances Act 2016 may apply if a peptide has psychoactive effects, though most research peptides fall outside this scope. <strong>Regulatory compliance for research peptides<\/strong> hinges on strict documentation of intended use, while <strong>quality assurance and supply chain diligence<\/strong> remain critical to avoid legal penalties. Buyers should also consider that <mark>analytical purity certificates<\/mark> do not guarantee legal status, making due diligence essential.<\/p>\n<h3>How the Human Medicines Regulations Impact Peptide Sourcing<\/h3>\n<p>The UK\u2019s regulatory landscape for research peptides is a carefully drawn map, where the line between legitimate science and prohibited supply is razor-thin. Under the **Human Medicines Regulations 2012**, peptides intended for human consumption are classified as medicinal products, placing them firmly under MHRA oversight\u2014even if labelled \u201cresearch use only.\u201d However, a peptide sold strictly for in vitro or animal studies, with no clinical intent, often sits outside this remit, creating a grey zone that suppliers navigate with caution. The Psychoactive Substances Act 2016 further complicates matters, banning any peptide with a psychotropic effect. For a researcher, the story is one of vigilance: verify purity certificates, check the supplier\u2019s compliance with Good Distribution Practice, and never assume \u201cnot for human use\u201d shields you from liability. <mark>The legal burden<\/mark> always falls on the buyer to prove legitimate research intent.<\/p>\n<h3>Key Distinctions Between Research-Use-Only and Human Consumption<\/h3>\n<p>The UK regulatory framework for research peptides is stringent and primarily governed by the Human Medicines Regulations 2012, which classifies most peptides as medicinal products unless explicitly intended for *in vitro* or non-clinical laboratory use. <strong>Navigating UK peptide compliance<\/strong> requires strict adherence to the Misuse of Drugs Act for controlled sequences and the UK\u2019s post-Brexit Chemical Business Gateway for import\/export notifications. Buyers must verify that suppliers hold a Home Office licence if the peptide has psychoactive properties, and always avoid human consumption claims. For legitimate research, you must document that peptides are supplied as \u201cresearch chemicals only,\u201d not for diagnostic or therapeutic use. <em>Always audit your sources against the MHRA\u2019s latest guidance, as borderline compounds face periodic reclassification.<\/em> In practice, maintain batch traceability, MSDS documentation, and ensure disposal follows the Hazardous Waste Regulations to remain compliant.<\/p>\n<h3>Navigating MHRA Guidelines for Importing and Selling Bioactive Compounds<\/h3>\n<p>The UK regulatory landscape for research peptides is defined by the Human Medicines Regulations 2012 and the Misuse of Drugs Act 1971, creating a strict but navigable framework. While peptides intended for human consumption are classified as medicinal products, those supplied for <strong>in vitro research and laboratory use<\/strong> sit outside clinical licensing, provided they are not advertised for human use. Suppliers must ensure purity, documentation, and compliance with the Psychoactive Substances Act 2016 for any peptide with psychoactive potential. Purchasers, typically academic or biotech institutions, must demonstrate legitimate research purpose. This means that reputable vendors operate in a grey zone where legality hinges on intended use, not the molecule itself.<\/p>\n<ul>\n<li>Check the Home Office scheduling status of each peptide.<\/li>\n<li>Require a Certificate of Analysis for every batch.<\/li>\n<li>Never source peptides claiming &#8220;human consumption&#8221; \u2013 that is a regulatory red flag.<\/li>\n<\/ul>\n<blockquote><p>The law does not ban research peptides; it bans irresponsible supply.<\/p><\/blockquote>\n<p>For researchers, the practical takeaway is to document your workstream and source only from UK-based suppliers who openly declare their legal disclaimers. Avoid import risks from unregulated overseas vendors, as UK customs can seize shipments under the Trade in Goods Regulations. The MHRA actively targets suppliers marketing peptides as &#8220;research chemicals&#8221; but promoting bodybuilding or longevity benefits. Therefore, aligning with <strong>good laboratory practice standards<\/strong> is your best defence. This clarity empowers legitimate science while penalising misuse, so navigate with intent and you remain compliant.<\/p>\n<h2>Why British Researchers Are Turning to Custom Peptide Synthesis<\/h2>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"607px\" alt=\"peptides UK\" 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\"\/><\/p>\n<p>British researchers are increasingly adopting custom peptide synthesis to overcome the limitations of off-the-shelf biochemical reagents, gaining a decisive competitive edge in drug discovery and molecular biology. By tailoring peptides with precise sequences, post-translational modifications, and unnatural amino acids, scientists can model complex protein interactions, develop targeted therapeutics, and create highly specific biomarkers for diagnostic assays. This bespoke approach not only accelerates translational research but also reduces costly trial-and-error, ensuring that every experiment yields physiologically relevant data. Moreover, the ability to produce stable, high-purity peptides on demand empowers UK labs to explore novel antimicrobial peptides and cell-penetrating carriers, directly addressing the pressing challenge of antibiotic resistance. For any serious research group aiming to publish high-impact findings or advance clinical candidates, investing in <strong>custom peptide synthesis<\/strong> is no longer optional\u2014it is the strategic cornerstone of modern, precision-driven biomedical innovation.<\/p>\n<h3>Advantages of Made-to-Order Sequences in Academic Labs<\/h3>\n<p>British researchers are increasingly adopting custom peptide synthesis to overcome the limitations of off-the-shelf reagents, enabling precise mimicry of post-translational modifications and the creation of cyclized or D-amino acid analogs that resist enzymatic degradation. This tailored approach is pivotal for mapping antibody epitopes, engineering cell-penetrating peptides for drug delivery, and developing stable isotope-labeled tracers for quantitative proteomics. By controlling chain length, purity, and modification sites, labs can validate biological hypotheses with unmatched accuracy, reducing false positives in high-throughput screening. The technology also accelerates structure-activity relationship studies, allowing rapid iteration of lead compounds for neurodegenerative disease and oncology targets. As a result, <strong>custom peptide synthesis is becoming indispensable for translational research<\/strong>, bridging the gap between genomic discoveries and viable therapeutic candidates.<\/p>\n<p>**Key advantages over commercial peptides:**<br \/>\n<img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"605px\" alt=\"peptides UK\" 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\"\/><br \/>\n&#8211; Site-specific phosphorylation or glycosylation for signaling studies<br \/>\n&#8211; Incorporation of non-natural amino acids to boost metabolic stability<br \/>\n&#8211; Scalable from milligram research-grade to gram-scale GMP for in vivo work<\/p>\n<p>**Q&#038;A**<br \/>\n*Q: When should I choose custom over catalog peptides?*<br \/>\nA: If you need >90% purity with a difficult sequence (hydrophobic, long >30 residues, or aggregated-prone), or require a unique modification, custom synthesis is more reliable and cost-effective in the long run.<\/p>\n<h3>Quality Benchmarks: Purity Levels, HPLC Analysis, and Mass Spectrometry<\/h3>\n<p>British researchers are increasingly ditching off-the-shelf reagents for <strong>custom peptide synthesis<\/strong>, and it\u2019s easy to see why. The ability to tweak amino acid sequences at will means they can mimic disease-specific proteins, probe enzyme activity, or design targeted therapeutics with far greater precision than before. This isn\u2019t just lab luxury\u2014it\u2019s speed. Commercially available peptides often come with long lead times or limited modifications, while custom orders from UK-based suppliers arrive in days, with options like phosphorylation, cyclisation, or fluorescent tags baked right in. For teams racing to publish or patent, that flexibility is a game-changer. Plus, the growing focus on personalised medicine means every project demands a slightly different molecular tool, and a one-size-fits-all catalogue simply can\u2019t keep up. It\u2019s practical, fast, and increasingly affordable, which is why labs from Oxford to Manchester are making the switch.<\/p>\n<h3>Turnaround Times and Minimum Order Quantities from Domestic Suppliers<\/h3>\n<p>British researchers are increasingly adopting custom peptide synthesis to overcome the limitations of off-the-shelf reagents, enabling precise control over sequence length, modifications, and purity for downstream assays. This tailored approach accelerates drug discovery, vaccine development, and mechanistic studies in cell biology, particularly when studying protein-protein interactions or post-translational modifications. The flexibility to produce stable, isotope-labeled, or cyclic peptides\u2014often within days\u2014reduces bottlenecks compared to traditional recombinant expression, which struggles with small hydrophobic sequences. <strong>Custom peptide synthesis is now the backbone of high-throughput screening in UK biotech.<\/strong> Many labs pair this with advanced purification (HPLC, MS) to achieve >95% purity, critical for reproducible results. <\/p>\n<blockquote><p>\u201cIf your experiment hinges on a specific epitope or a difficult modification, custom synthesis isn\u2019t a luxury\u2014it\u2019s the only viable route.\u201d<\/p><\/blockquote>\n<p> For early-stage research, this on-demand service minimizes waste of animal or cell models, while also supporting bespoke biomaterials and diagnostic probes. Ultimately, the shift reflects a pragmatic move toward precision-driven, cost-effective translational science.<\/p>\n<h2>Popular Peptide Categories Gaining Traction Across UK Laboratories<\/h2>\n<p>Across the bustling labs of Cambridge and the biotech corridors of Manchester, a quiet revolution is unfolding as researchers trade bulky proteins for sleek, precision-designed peptides. The most buzzed-about category is **antimicrobial peptides (AMPs)**, which UK teams are racing to develop as a last-line defense against drug-resistant superbugs\u2014each sequence a tiny, positively-charged dagger that shreds bacterial membranes. Equally magnetic are **cyclic peptides**, prized for their rock-like stability in the bloodstream, allowing oral delivery of drugs that once demanded painful injections. Meanwhile, **cell-penetrating peptides (CPPs)** are stealing showtime in gene-editing workflows, ferrying CRISPR payloads into nuclei with startling efficiency. What ties these trends together is a distinctly British pragmatism: labs are no longer chasing novelty for its own sake, but engineering peptide libraries that solve real clinical bottlenecks. From gut-restricted mimics to stapled helices targeting protein-protein interactions, the field feels less like a trend and more like a scaffolding for tomorrow\u2019s therapeutics\u2014a quiet hum of synthesis machines echoing through sterilised rooms.<\/p>\n<h3>Growth Hormone Secretagogues: Research into GHRP and Ipamorelin Analogues<\/h3>\n<p>Across UK labs, researchers are increasingly turning to specific peptide categories that balance stability with bioactivity. Antimicrobial peptides (AMPs) are hot right now, especially for tackling drug-resistant bacteria, while cell-penetrating peptides (CPPs) are revolutionising drug delivery by shuttling therapeutics straight into cells. <strong>Peptide-based research reagents for targeted protein degradation<\/strong> are also climbing fast, particularly cyclic peptides that bind \u201cundruggable\u201d surfaces. Meanwhile, collagen-mimetic and elastin-like peptides are gaining ground in tissue engineering and regenerative medicine, thanks to their self-assembling properties. The shift is driven by cheaper synthesis and better analytical tools, making these once-niche molecules a staple in both academic and biotech settings.<\/p>\n<ul>\n<li><strong>AMPs<\/strong> \u2013 infection control, wound healing<\/li>\n<li><strong>CPPs<\/strong> \u2013 intracellular delivery of siRNA, proteins<\/li>\n<li><strong>Cyclic peptides<\/strong> \u2013 high metabolic stability, oral potential<\/li>\n<li><strong>Self-assembling peptides<\/strong> \u2013 hydrogels, 3D cell culture<\/li>\n<\/ul>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"600px\" alt=\"peptides UK\" 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\"\/><\/p>\n<p><strong>Q: Why are cyclic peptides so popular now?<\/strong><br \/>A: They resist enzymatic breakdown better than linear ones, so they stay active longer in serum \u2013 a big win for in vivo studies.<\/p>\n<h3>Thymus-Derived Peptides: Potential Immunomodulatory Applications<\/h3>\n<p>UK labs are increasingly pivoting toward specialised peptide categories that balance bioactivity with practical stability. Antimicrobial peptides (AMPs) are a clear frontrunner, driven by the urgent need to combat resistant bacteria \u2014 researchers are screening frog skin and marine-derived sequences for rapid, membrane-disrupting action. Meanwhile, **cell-penetrating peptides (CPPs)** are gaining serious momentum as delivery vectors for CRISPR components and oligonucleotides, with teams refining arginine-rich motifs to boost endosomal escape. Cyclic peptides also get a look-in for targeting protein-protein interactions that linear chains can\u2019t lock onto, plus stapled variants are showing improved metabolic half-life in early assays. Finally, peptide hormones and growth-factor mimetics remain steady workhorses, especially in tissue engineering and metabolic disease models. The buzz is definitely around multifunctional hybrids \u2014 combining AMP and CPP domains into single scaffolds. This shift prioritises practical reproducibility over exotic novelty, which makes translation smoother.<\/p>\n<h3>Collagen and Copper Tripeptide Studies in Dermatological Research<\/h3>\n<p>Across UK laboratories, research interest is increasingly focusing on bioactive peptide categories with therapeutic and diagnostic potential. Antimicrobial peptides (AMPs) are being studied for their role in combating drug-resistant pathogens, while collagen-derived peptides are evaluated for tissue engineering and wound-healing applications. Cell-penetrating peptides (CPPs) are gaining traction for intracellular drug delivery, and cyclic peptides are favoured for their enhanced metabolic stability and receptor selectivity. Additionally, peptide hormones and growth factor mimetics are under investigation for endocrine and regenerative medicine studies. <strong>The growing demand for stable, scalable peptide synthesis is driving adoption of solid-phase methods and advanced purification techniques.<\/strong> This shift reflects a broader movement toward precision biologics, though regulatory and reproducibility challenges remain central to ongoing validation efforts. <em>Cost-effective production still limits widespread clinical translation.<\/em><\/p>\n<h2>Comparing Domestic Producers vs. Overseas Vendors for UK-Based Buyers<\/h2>\n<p>For UK-based buyers, the choice between domestic producers and overseas vendors hinges on a delicate balance of speed, cost, and resilience. While overseas suppliers often tempt with dramatically lower unit prices and vast scale, they introduce hidden risks: extended shipping timelines, complex customs paperwork, and volatile freight costs that can erode margins overnight. Conversely, partnering with British manufacturers delivers unmatched agility, allowing for rapid prototyping, smaller minimum order quantities, and tighter quality control. Moreover, domestic sourcing significantly reduces your carbon footprint and shields you from geopolitical disruptions, a growing priority for discerning brands. However, the price premium can be steep. The smart strategy isn&#8217;t dogmatic; it&#8217;s hybrid. Use overseas vendors for high-volume, non-urgent core components to maximise <strong>supply chain cost efficiency<\/strong>, while reserving UK partners for bespoke, time-critical or high-touch items where <strong>local manufacturing advantages<\/strong> translate directly into customer satisfaction and brand trust.<\/p>\n<h3>Shipping Costs, Customs Delays, and Brexit-Related Compliance Hurdles<\/h3>\n<p>When UK buyers weigh domestic producers against overseas vendors, it\u2019s often a tug-of-war between speed and savings. Local makers win on lead times, easier <a href='https:\/\/biovantaresearch.com\/product\/retatrutide-5mg\/'>https:\/\/biovantaresearch.com\/product\/retatrutide-5mg\/<\/a> communication, and simpler compliance with UK regulations\u2014plus you can visit their facility if needed. Overseas vendors, especially in Asia, usually offer lower unit costs and massive scalability, but you\u2019ll grapple with shipping delays, import duties, and quality control from afar. For smaller batches or custom work, staying local often makes sense, while high-volume, cost-sensitive orders lean offshore. <strong>Balancing total landed cost with risk tolerance is the real game-changer<\/strong>. A quick comparison: domestic excels in agility and transparency; overseas shines in price and capacity. <\/p>\n<blockquote><p>If you need rapid iterations or tight deadlines, near-shoring beats chasing the cheapest quote every time.<\/p><\/blockquote>\n<p> Before committing, factor in VAT, freight, and return logistics\u2014not just the sticker price. Ultimately, a hybrid approach\u2014domestic for prototypes, overseas for scale\u2014gives UK buyers the best of both worlds.<\/p>\n<h3>Third-Party Lab Testing: Verifying Claims from International Suppliers<\/h3>\n<p>For UK-based buyers, choosing between domestic producers and overseas vendors is a strategic decision that hinges on lead times, quality control, and total landed cost. Domestic manufacturing offers faster delivery, easier compliance with UKCA standards, and lower carbon footprint, making it ideal for time-sensitive or premium orders. However, overseas vendors, particularly in Asia, often provide significant cost savings on raw materials and labour, which can boost profit margins for high-volume, non-urgent goods. The trade-off is clear: you pay more for agility and reliability at home, or you accept longer shipping windows and potential communication barriers abroad. Mitigate overseas risks by requesting pre-shipment inspections and using Incoterms like DDP to lock in final pricing. For bespoke products or repeatable, quality-critical runs, UK sourcing remains the safer bet. Ultimately, the best approach is hybrid: leverage offshore pricing for standard SKUs while reserving domestic suppliers for rush orders and after-sales support.<\/p>\n<h3>Customer Support and Batch Consistency in Long-Term Study Protocols<\/h3>\n<p>For UK-based buyers, the choice between domestic producers and overseas vendors hinges on a complex trade-off between cost, speed, and control. Domestic sourcing typically offers shorter lead times, simpler logistics, and easier compliance with local regulations, which reduces the risk of customs delays or communication breakdowns. Conversely, overseas vendors, particularly in Asia, often provide significantly lower unit costs due to cheaper labour and materials, but these savings can be eroded by shipping fees, import duties, and the need for larger minimum order quantities. While domestic partners excel at rapid prototyping and responsive after-sales support, overseas suppliers may win on scalability and price flexibility. Ultimately, the decision often depends on product complexity, margin sensitivity, and whether the buyer prioritises **supply chain resilience** over immediate cost reduction. A hybrid strategy\u2014using domestic for small batches and overseas for bulk\u2014is increasingly common among UK SMEs.<\/p>\n<h2>Storage, Handling, and Stability Protocols for Lyophilized Peptides<\/h2>\n<p>When you get your hands on lyophilized peptides, the golden rule is keeping them bone-dry and away from moisture, heat, and light. Always store the un-reconstituted powder in a tightly sealed vial, ideally at -20\u00b0C, and avoid frequent temperature swings\u2014so don\u2019t pop them in and out of the freezer repeatedly. Before opening a vial, let it sit at room temperature for a few minutes to prevent condensation from ruining the delicate **peptide stability**. For handling, always use sterile or at least clean tools, and never touch the powder with bare fingers or introduce water until you\u2019re ready to reconstitute. Once dissolved, peptides degrade fast, so split them into single-use aliquots and freeze promptly. Stability protocols also mean avoiding vortexing or harsh shaking, as that can break peptide chains. Follow these simple steps, and your **lyophilized peptide storage** will stay reliable for months.<\/p>\n<h3>Optimal Reconstitution Methods for Maintaining Bioactivity in the Lab<\/h3>\n<p>Lyophilized peptides arrive as fragile, crystalline powders, resting in a state of suspended animation. Their stability hinges on absolute dryness; even a whisper of moisture can trigger hydrolysis and aggregation. The golden rule is to store them desiccated, ideally at \u201320\u00b0C, shielding them from light and temperature fluctuations that accelerate degradation. Before opening, always equilibrate the vial to room temperature to prevent condensation from clinging to the powder. When handling, use sterile, low-binding pipette tips and dissolve the peptide in the recommended solvent\u2014often sterile water or acetic acid\u2014to avoid clumping. For reconstitution, gently swirl, never vortex, to protect the delicate structure. Any unused solution should be aliquoted and frozen immediately, as repeated freeze-thaw cycles are the primary enemy of **peptide stability and integrity. Always record the reconstitution date and adhere to the manufacturer&#8217;s expiration guidelines.<\/p>\n<h3>Temperature Fluctuations and Their Effect on Peptide Shelf Life<\/h3>\n<p>Proper storage begins immediately after reconstitution\u2014never freeze a dissolved peptide, as ice crystal formation disrupts tertiary structure and accelerates degradation. For lyophilized powders, <strong>peptide stability optimization<\/strong> demands desiccated, light-protected conditions at \u221220\u00b0C or below, where hydrolytic and oxidative pathways slow dramatically. Always equilibrate vials to room temperature before opening to prevent moisture condensation onto the hygroscopic cake. Handling protocols stress sterile technique: use sterile, endotoxin-free water or buffer (avoid acidic solutions unless specified), and gently roll\u2014never vortex\u2014to minimize mechanical shear on fragile bonds. Stability windows are strictly context-dependent: lyophilized peptides remain viable for months to years under ideal conditions, but reconstituted aliquots typically degrade within 24\u201372 hours at 4\u00b0C, unless protected by <mark>stabilizing excipients<\/mark> like mannitol or trehalose. For extended studies, prepare single-use aliquots, flash-freeze in liquid nitrogen (only if formulation permits), and store at \u221280\u00b0C. Track lot-specific stability data religiously, as minor sequence variations or residual trifluoroacetic acid content can dramatically alter shelf life.<\/p>\n<h3>Common Pitfalls in Aliquotting and Avoiding Repeated Freeze-Thaw Cycles<\/h3>\n<p>Lyophilized peptides demand meticulous care to preserve their biological integrity from the moment they leave the freeze-dryer. Upon receipt, store vials in a tightly sealed desiccator at \u221220\u00b0C or below, shielded from light and humidity, as moisture is the primary catalyst for peptide degradation. Always allow the vial to equilibrate to room temperature for 15\u201320 minutes before opening\u2014this prevents condensation from rehydrating the powder. For reconstitution, use sterile, preservative-free water or the recommended buffer, gently swirling rather than vortexing to minimize shearing of fragile bonds. <strong>Proper storage of lyophilized peptides ensures years of stability.<\/strong> Once reconstituted, aliquot into single-use doses and store at \u221280\u00b0C, avoiding repeated freeze-thaw cycles which cause conformational damage and aggregation.<\/p>\n<blockquote><p>An opened, improperly sealed vial can lose >20% of peptide activity within days\u2014always re-desiccate immediately after every weighing.<\/p><\/blockquote>\n<ul>\n<li>Handling: Use pre-cooled, low-binding pipette tips and gloves; never touch the lyophilized cake directly.<\/li>\n<li>Stability tracking: Log each batch with a moisture indicator and expiry date, discarding any powder that clumps or changes color.<\/li>\n<\/ul>\n<h2>Ethical and Legal Considerations in UK Peptide-Based Research<\/h2>\n<p>Peptide-based research in the UK operates within a rigorous framework where scientific ambition must align with strict regulatory oversight. The Human Tissue Authority and the Medicines and Healthcare products Regulatory Agency (MHRA) enforce guidelines that govern procurement, synthesis, and clinical translation, ensuring that studies on bioactive peptides\u2014from antimicrobial sequences to hormone analogues\u2014do not compromise patient safety or public trust. Central to this landscape is the principle of informed consent, particularly when peptides are derived from human or animal sources, alongside compliance with the Animals (Scientific Procedures) Act 1986 for in vivo work. Moreover, **ethical approval by Research Ethics Committees** is non-negotiable, while researchers must navigate data protection under UK GDPR when handling genetic or biometric information. Crucially, the **legal distinction between research-grade and therapeutic peptides** prevents misuse, as unlicensed products cannot be marketed for human consumption. This dual commitment to ethical integrity and legal precision not only safeguards participants but also bolsters the UK\u2019s reputation as a global leader in translational peptide science, where innovation thrives without crossing moral boundaries.<\/p>\n<h3>Home Office Licensing Requirements for In Vivo Studies<\/h3>\n<p>UK peptide-based research operates within a tightly regulated framework, balancing scientific innovation with robust oversight. The **regulatory compliance framework** demands rigorous adherence to the Human Tissue Act and Medicines and Healthcare products Regulatory Agency (MHRA) guidelines, ensuring that novel therapeutic peptides are both safe and ethically sourced. Researchers must navigate the nuances of informed consent, particularly when using human-derived samples, and secure approval from institutional ethics boards before any clinical application. Furthermore, the Misuse of Drugs Act can impact peptide analogues with hormonal or psychoactive potential, requiring careful legal classification. This dynamic environment encourages cutting-edge discovery while safeguarding public trust. Ultimately, responsible practice hinges on transparent data sharing and proactive legal audits, ensuring lab breakthroughs translate into compliant, patient-centred treatments without compromising integrity or safety.<\/p>\n<h3>Institutional Review Boards and Informed Consent for Human Trials<\/h3>\n<p>UK peptide-based research operates within a stringent regulatory framework that prioritises human safety and scientific integrity. The Human Tissue Act 2004 and the Medicines for Human Use (Clinical Trials) Regulations 2004 govern the use of biological materials and investigational products, while the Animal (Scientific Procedures) Act 1986 strictly limits in vivo studies. <strong>Ethical peptide research compliance<\/strong> hinges on robust informed consent protocols, transparent data handling under GDPR, and independent ethics committee review. Legally, researchers must secure a Home Office licence for any controlled substance work, and peptide therapeutics intended for clinical use require MHRA approval before trials. Breaches invite severe penalties, including research bans and criminal liability. Ultimately, adherence to these rules is not a bureaucratic hurdle but a scientific imperative\u2014it safeguards public trust, ensures reproducible results, and upholds the UK\u2019s global reputation as a leader in responsible biomedical innovation. Non-compliance is both professionally reckless and legally indefensible.<\/p>\n<h3>Responsible Reporting of Findings in Peer-Reviewed Journals<\/h3>\n<p>The quiet hum of a laboratory belies the storm of paperwork behind every peptide synthesis in the UK. Researchers walk a tightrope between breakthrough and breach, guided by the Human Tissue Act and the Medicines and Healthcare products Regulatory Agency (MHRA). <strong>Ethical and legal compliance in UK peptide research<\/strong> is not a checkbox but a living promise\u2014each sequence approved only after rigorous risk assessment, informed consent protocols, and Home Office licensing for any in vivo work. A misstep in purity documentation or unapproved clinical translation can shutter a project overnight, while animal welfare review boards scrutinise every dosage. The story of a promising therapeutic peptide often ends not at the bench, but at the ethics committee\u2019s doorstep, where transparency outweighs speed.<\/p>\n<h2>Emerging Trends in Segment-Specific Bioactive Molecule Development<\/h2>\n<p>Segment-specific bioactive molecule development is shifting from broad-spectrum therapeutics toward highly targeted interventions defined by genetic, proteomic, and metabolic biomarkers. Key emerging trends include the rise of cell-penetrating peptides and mRNA-encoded biologics that operate within defined intracellular compartments, alongside the use of artificial intelligence to predict off-target effects in specific tissue microenvironments. Another significant focus is the engineering of prodrugs activated by tumor- or organ-specific enzymes, reducing systemic toxicity. <strong>Precision bioactive scaffolds<\/strong> and <strong>tissue-selective delivery systems<\/strong> are now central to pipeline strategies, with emphasis on modulating the gut-brain axis and adipose-muscle crosstalk. Rapid advances in single-cell sequencing and spatial transcriptomics enable segment stratification at unprecedented resolution. <em>However, translational success still hinges on robust validation of biomarker\u2013disease causality across diverse populations.<\/em> Regulatory frameworks are adapting to combination biomarker-drug co-development, while modular synthesis platforms accelerate iteration for rare disease niches and pediatric subpopulations.<\/p>\n<h3>Blood-Brain Barrier Penetration Research with Lipophilic Peptide Conjugates<\/h3>\n<p>The pharmaceutical landscape is rapidly shifting toward highly tailored therapeutics, with a pronounced focus on <strong>precision bioactive design<\/strong> for distinct patient subgroups. Rather than pursuing broad-spectrum molecules, developers now leverage multi-omics data and advanced computational models to target specific genetic mutations, organ microenvironments, and disease-stage biomarkers. This segment-specific approach accelerates clinical success by reducing off-target effects and improving dose-response predictability. Key advances include proteolysis-targeting chimeras (PROTACs) for oncology subpopulations, organ-on-chip platforms for neurovascular niches, and <mark>cryptic pocket identification<\/mark> for allosteric modulation in rare metabolic disorders. Additionally, the integration of AI-driven de novo synthesis enables rapid iteration for undruggable targets, while spatial transcriptomics informs localized delivery systems. The result is a leaner, more efficacious pipeline where molecules are developed *for* the patient\u2019s biology\u2014not against it. This paradigm not only cuts development costs but also secures regulatory approval through clearer, mechanism-based endpoints.<\/p>\n<h3>Cyclic Peptides and Their Role in Improving Metabolic Stability<\/h3>\n<p>The pharmaceutical landscape is pivoting toward precision-driven discovery, where <strong>segment-specific bioactive molecule development<\/strong> now prioritizes tissue-selective and patient-stratified therapies over broad-spectrum agents. Advanced platforms like spatial transcriptomics, cryo-EM, and AI-driven de novo design enable researchers to map disease microenvironments and engineer molecules that bind unique conformational epitopes or metabolic checkpoints. This shift is particularly evident in oncology, neurodegeneration, and metabolic disorders, where peptide-drug conjugates, proteolysis-targeting chimeras (PROTACs), and allosteric modulators are tailored to distinct genetic or proteomic signatures. Consequently, regulatory pathways are adapting to companion diagnostics, while manufacturing embraces continuous flow and cell-free synthesis for rapid iteration. <em>The next decade will belong to developers who integrate multi-omics data with adaptive clinical trial designs.<\/em> Key drivers include:<\/p>\n<ul>\n<li>Targeted delivery via blood-brain barrier-penetrant nanocarriers<\/li>\n<li>Patient-derived organoid screening for rare mutation subtypes<\/li>\n<li>AI-optimized pharmacokinetic profiles for underserved populations<\/li>\n<\/ul>\n<h3>Machine Learning-Driven Prediction of Peptide-Protein Interactions<\/h3>\n<p>In quiet labs where patient molecules meet precise targets, the frontier of drug discovery has shifted from blockbusters to bespoke biology. Researchers now design bioactive compounds for ultra-defined patient clusters\u2014think KRAS-mutant lung cancers or APOE4 carriers\u2014using cryo-EM and AI-driven de novo synthesis. This segment-specific approach means a peptide or macrocycle is no longer a shotgun; it\u2019s a sniper round tuned to a single protein conformation. The result? Fewer off-target effects, faster regulatory pathways, and a pipeline that prioritizes <strong>personalized bioactive lead optimization<\/strong> over mass-market chemistry.<\/p>\n<ul>\n<li><strong>Trend 1:<\/strong> Degrader probes (PROTACs, molecular glues) for \u201cundruggable\u201d transcription factors.<\/li>\n<li><strong>Trend 2:<\/strong> Cell-penetrating antibodies targeting intracellular organelles in rare neurodegenerative subsets.<\/li>\n<li><strong>Trend 3:<\/strong> Microbiome-derived metabolites engineered for gut-brain axis disorders in specific HLA genotypes.<\/li>\n<\/ul>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"608px\" alt=\"peptides UK\" 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\"\/><\/p>\n<p><strong>Q: Why shift away from broad-spectrum drugs?<\/strong><br \/>A: Survival rates plateau with generic inhibition; segment-specific molecules exploit unique metabolic vulnerabilities, turning orphan indications into commercial wins.<\/p>\n<h2>Cost-Benefit Analysis of Investing in High-Purity Research Compounds<\/h2>\n<p>Investing in high-purity research compounds demands a rigorous cost-benefit evaluation, where the premium price often correlates directly with experimental reliability. For laboratories focused on drug discovery or advanced materials science, the cost of <strong>high-purity research compounds<\/strong> is justified by eliminating batch-to-batch variability, which otherwise leads to irreproducible data and wasted man-hours. While lower-grade alternatives may save 30\u201350% upfront, the true expense emerges in failed assays, wasted biological reagents, and the hidden cost of repeating entire studies\u2014easily eclipsing the initial savings. Moreover, for regulated sectors such as pharmaceuticals, purity certificates (e.g., \u226599.9% by HPLC) are non-negotiable for regulatory compliance, making this investment a risk-mitigation strategy rather than an optional expense. The decisive factor is your application: for screening or exploratory work, moderate purity may suffice, but for kinetic studies, crystallography, or clinical-grade synthesis, the <strong>cost-benefit analysis<\/strong> unequivocally favors premium suppliers. <\/p>\n<p><strong>Q&#038;A:<\/strong> <em>When is it acceptable to forgo high-purity compounds?<\/em> Only for preliminary feasibility tests where structural identity, not exact concentration, drives the outcome\u2014but document the grade used to avoid future data audits.<\/p>\n<h3>Bulk Discounts vs. Per-Vial Pricing: What Makes Financial Sense<\/h3>\n<p>Investing in high-purity research compounds often feels like a budget gut-punch, but the real math goes way beyond the sticker price. Impure or low-grade reagents can silently wreck your experiments, leading to wasted weeks, failed replicates, and costly re-runs that dwarf the upfront savings. When you factor in your lab\u2019s hourly overhead, researcher time, and the price of consumables, a single botched synthesis can easily eat up the difference between a premium and a bargain batch. The sweet spot is matching purity to your actual application\u2014if you\u2019re doing routine ELISA work, ultra-grade might be overkill, but for crystallography or kinetic studies, it\u2019s non-negotiable. That\u2019s where the <strong>true return on investment in analytical-grade supply<\/strong> becomes obvious.<\/p>\n<ul>\n<li>Fewer failed runs \u2192 lower total cost per valid result.<\/li>\n<li>Better reproducibility \u2192 faster publication and fewer QC disputes.<\/li>\n<li>Reduced downtime \u2192 no waiting on replacement orders.<\/li>\n<\/ul>\n<blockquote><p>A cheap compound that fails twice is never cheaper than an expensive one that works the first time.<\/p><\/blockquote>\n<p>So, before you click \u201cbuy,\u201d calculate the risk-adjusted cost: if your experiment is high-stakes or hard to repeat, pay for purity. If it\u2019s a quick screen, save your cash. Just don\u2019t pretend the price tag is the whole story.<\/p>\n<h3>Hidden Expenses: Custom Synthesis Fees and Expedited Shipping Charges<\/h3>\n<p>Investing in high-purity research compounds demands a careful cost-benefit evaluation, as the premium price often reaches 10\u201350 times that of standard grades. The primary benefit is data integrity: impurities at parts-per-million levels can skew kinetic assays, crystallography, or cell-based screens, leading to false negatives that waste months of labor. However, the cost extends beyond the vial\u2014consider expedited shipping, cold-chain storage, and rigorous in-house verification via HPLC or NMR, which can add 20% to the total expense. For routine screening, lower-purity compounds may suffice, but for regulatory submission or mechanistic studies, the risk of irreproducibility outweighs savings. A pragmatic approach includes tiered purchasing: high-purity for critical reference standards, and technical grade for pilot runs. Additionally, bulk discounts and supplier loyalty programs can reduce per-gram costs by 15\u201330%, making high-purity investment viable when amortized over a multi-year project pipeline.<\/p>\n<h3>Budgeting for Independent Verification via External Mass Spec Facilities<\/h3>\n<p>Investing in high-purity research compounds is a strategic financial decision that hinges on long-term experimental integrity versus upfront procurement costs. While premium-grade reagents carry a significantly higher price tag than technical or industrial variants, they drastically reduce the risk of failed assays, irreproducible data, and costly repeat experiments. <strong>High-purity research compounds minimize downstream variability<\/strong>, which directly translates into faster regulatory approvals and stronger intellectual property claims. The hidden savings emerge from reduced batch-to-batch correction, fewer instrument calibration downtimes, and lower waste-disposal fees associated with contaminated materials. For labs scaling up from discovery to clinical validation, the cost-benefit ratio shifts decisively in favor of purity\u2014a single compromised dataset can erase months of operational budget. <em>Cheap reagents are a false economy when your reputation rides on every molecular interaction.<\/em> Prioritize purity where the experiment\u2019s conclusion is binary: success or irreproducibility.<\/p>\n<h2>Common Misconceptions and Myths Surrounding Bioactive Short-Chain Proteins<\/h2>\n<p>Many believe that bioactive short-chain proteins, often termed bioactive peptides, are automatically safe because they are &#8220;natural,&#8221; yet this is a dangerous oversimplification. A common myth is that all short-chain proteins act identically, ignoring that their effects\u2014from antihypertensive to opioid-like activities\u2014depend heavily on sequence, length, and bioavailability. Another misconception is that enzymatic digestion renders them inactive, when in fact many peptides survive gastrointestinal breakdown via exopeptidase resistance or enter circulation intact. Crucially, people assume that higher doses yield greater benefits, but these molecules often exhibit a bell-shaped dose-response curve, where excessive intake can trigger adverse immune reactions or receptor desensitization. For expert advice, always verify source purity and clinical data; \u201cnatural origin\u201d does not equate to zero toxicity, especially when co-administered with prescription drugs. Similarly, don\u2019t mistake in vitro results for human efficacy, as peptide stability in plasma is a vastly different environment than a laboratory assay.<\/p>\n<h3>Distinguishing Anabolic Steroid Effects from Peptide-Mediated Pathways<\/h3>\n<p>You\u2019ve probably heard that bioactive short-chain proteins are magic bullets for gut health, but there\u2019s a lot of hype mixed with half-truths. One big myth is that all short-chain proteins survive digestion\u2014in reality, many get broken down before they ever reach your bloodstream, so their effects are often local to the gut, not systemic. Another common misconception is that \u201cmore is better,\u201d but dosing too high can actually trigger unwanted immune responses. People also confuse them with prebiotics or probiotics, assuming they work the same way\u2014they don\u2019t, since these peptides act as signaling molecules, not food for bacteria. And no, they aren\u2019t all sourced from whey; they come from eggs, fish, and plants too. <strong>Bioactive short-chain proteins require targeted delivery systems<\/strong> to be truly effective, so a random supplement won\u2019t guarantee results. Keep expectations realistic\u2014they\u2019re not a cure-all, just a piece of the nutrition puzzle.<\/p>\n<h3>Debunking Claims of \u201cInstant\u201d Results in Academic Contexts<\/h3>\n<p>Many believe bioactive short-chain proteins are simply &#8220;digested away&#8221; before they can act, but this ignores their ability to interact with gut-associated lymphoid tissue and trigger systemic signaling before full breakdown. Another myth is that all short-chain proteins are equal\u2014yet their biological activity depends heavily on specific amino acid sequences, molecular weight, and processing methods. People also assume they provide the same benefits as intact proteins, but these fragments act more like signaling molecules than nutritional building blocks, influencing inflammation, satiety, and immune response. <strong>Clinical efficacy hinges on peptide specificity<\/strong>, not just &#8220;more is better.&#8221; <\/p>\n<blockquote><p>\u201cSize doesn\u2019t dictate function\u2014sequence and context do.\u201d<\/p><\/blockquote>\n<p> Finally, some claim they are unsafe or unregulated, but many are GRAS-approved and studied in human trials. The real risk lies in unsubstantiated marketing, not the peptides themselves.<\/p>\n<h3>Understanding Why Dosage in Lab Settings Differs from Human Anecdotes<\/h3>\n<p>Many believe bioactive short-chain proteins are simply digested into inert amino acids, but this is a fundamental misunderstanding. These peptides exert direct, receptor-mediated effects on gut lining integrity, immune signaling, and metabolic regulation before any breakdown occurs. A widespread myth is that they require high doses to work; in reality, they are potent at microgram levels, often outperforming intact proteins. Another misconception is that all sources are equal \u2014 but origin and processing drastically alter bioactivity, with enzymatic hydrolysis yielding vastly different peptide profiles. Finally, the assumption that they are unstable in the digestive tract is false; many are protected by structural motifs that resist peptidase attack. <strong>Peptide bioavailability is a scientific reality, not a marketing gimmick.<\/strong> Don\u2019t fall for oversimplified claims \u2014 precision matters more than volume.<\/p>\n<h2>Practical Guide to Reading Certificate of Analysis Documents from UK Labs<\/h2>\n<p>A <strong>Certificate of Analysis (CoA)<\/strong> from a UK laboratory is your definitive proof of product quality, not a bureaucratic formality. Master it by first verifying the document\u2019s header: confirm the lab\u2019s UKAS accreditation number and the exact batch number match your received goods. Then, focus on the analytical results table\u2014compare each measured value against the specified acceptance limits, paying extra attention to assay purity, residual solvents, and heavy metals. Cross-check the test methods cited (e.g., HPLC, GC-MS) against your own quality requirements, and always confirm the retest or expiry date. A compliant CoA shows no \u201cout of specification\u201d flags, clear traceability, and a valid signature from the authorized signatory. Skipping these checks risks regulatory failure and compromised batch integrity. In regulated industries, your ability to interpret this data is the final gatekeeper between your supply chain and unsafe products\u2014so treat every reading as a non-negotiable audit step.<\/p>\n<h3>Deciphering Retention Times, Peak Areas, and Impurity Tolerances<\/h3>\n<p>A Certificate of Analysis from a UK lab isn\u2019t just paperwork\u2014it\u2019s the quiet witness to your product\u2019s integrity. When I first opened one, the columns felt like hieroglyphs, but soon I learned to read them like a map. Start with the sample ID and batch number to confirm you\u2019re looking at your exact material, then check the specification limits against the results\u2014those are the boundaries your supplier promised. <strong>UK lab report interpretation<\/strong> hinges on spotting the \u201cconforms\u201d or \u201cpass\u201d markers, but don\u2019t gloss over the method codes, since different tests (HPLC, titration) yield different precision. Finally, scan the date and the signatory\u2019s name; a stale or unsigned report is a red flag. That five-minute scan turned my anxiety into trust, and it can do the same for you.<\/p>\n<h3>What to Check for in Endotoxin and Heavy Metal Screening Reports<\/h3>\n<div style=\"text-align:center\">\n<iframe loading=\"lazy\" width=\"563\" height=\"314\" src=\"https:\/\/www.youtube.com\/embed\/ukCySPXN0WU\" frameborder=\"0\" alt=\"peptides UK\" allowfullscreen><\/iframe>\n<\/div>\n<p>A Certificate of Analysis (CoA) from UK laboratories verifies that a product meets specified quality and regulatory standards, such as those from MHRA or ISO 17025. Begin by confirming the sample identity, batch number, and manufacturing date match your records. Scrutinize the specification limits versus actual results for each test, noting any deviations (OOS). Pay close attention to purity, potency, and residual solvent levels. **Interpreting CoA data requires cross-referencing analytical methods with pharmacopoeial monographs.** Verify the signature and date of the Qualified Person, and check for any flags on stability or storage conditions. Always scan the footer for the lab\u2019s accreditation number and scope. If a result falls near the limit, consult the measurement uncertainty value provided. Retain the document with your batch records for full traceability and audit readiness.<\/p>\n<h3>Recognising Red Flags in Documentation from Unverified Sources<\/h3>\n<p>A Certificate of Analysis (CoA) from a UK lab is your definitive proof of product quality, but only if you read it correctly. Start by verifying the batch number and sample ID against your delivery note, then check the specification limits versus the actual results\u2014any result outside the stated range invalidates the batch. Pay close attention to the analytical methods cited (e.g., HPLC, GC-MS), as these must align with the pharmacopoeial or regulatory standard required for your application. Confirm the date of analysis and the expiry\/retest date, ensuring the certificate is current and not a stale copy. <em>Always cross-reference the signatory\u2019s credentials and the lab\u2019s UKAS accreditation number to confirm the document is legally defensible.<\/em> Finally, scrutinise any \u201cpass\u201d annotations for deviations or out-of-tolerance notes, as these often hide critical caveats. Mastering this checklist turns a CoA from a formality into a robust risk-management tool. <strong>Interpreting UK Lab Certificates of Analysis<\/strong> ensures you never release substandard material into your supply chain.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Unlock the Power of Peptides UK for a Healthier, Stronger You Peptides UK is your go-to spot for high-quality research peptides, backed by third-party testing and fast, discreet delivery. Whether you\u2019re diving into lab work or exploring new compounds, we make it easy to find exactly what you need without the fuss. Science-grade purity at prices that won\u2019t break the bank\u2014simple as that. Understanding the Regulatory Landscape for Research Peptides in the UK The regulatory landscape for research peptides in the UK is defined by the Human Medicines Regulations 2012, which categorizes most peptides as medicinal products, thereby prohibiting their supply for human consumption without a Marketing Authorisation. However, a legal loophole permits their sale as laboratory reagents, provided they are explicitly labeled \u201cfor research use only\u201d and not intended for human or animal administration. The Medicines and Healthcare products Regulatory Agency (MHRA) actively monitors compliance, and Non-UK suppliers often exploit cross-border sales, creating grey areas. Researchers must ensure peptides are sourced from vendors adhering to Good Manufacturing Practice (GMP) and import rules, as customs seizures can occur for misdeclared shipments. Additionally, the Psychoactive Substances Act 2016 may apply if a peptide has psychoactive effects, though most research peptides fall outside this scope. Regulatory compliance for research peptides hinges on strict documentation of intended use, while quality assurance and supply chain diligence remain critical to avoid legal penalties. Buyers should also consider that analytical purity certificates do not guarantee legal status, making due diligence essential. How the Human Medicines Regulations Impact Peptide Sourcing The UK\u2019s regulatory landscape for research peptides is a carefully drawn map, where the line between legitimate science and prohibited supply is razor-thin. Under the **Human Medicines Regulations 2012**, peptides intended for human consumption are classified as medicinal products, placing them firmly under MHRA oversight\u2014even if labelled \u201cresearch use only.\u201d However, a peptide sold strictly for in vitro or animal studies, with no clinical intent, often sits outside this remit, creating a grey zone that suppliers navigate with caution. The Psychoactive Substances Act 2016 further complicates matters, banning any peptide with a psychotropic effect. For a researcher, the story is one of vigilance: verify purity certificates, check the supplier\u2019s compliance with Good Distribution Practice, and never assume \u201cnot for human use\u201d shields you from liability. The legal burden always falls on the buyer to prove legitimate research intent. Key Distinctions Between Research-Use-Only and Human Consumption The UK regulatory framework for research peptides is stringent and primarily governed by the Human Medicines Regulations 2012, which classifies most peptides as medicinal products unless explicitly intended for *in vitro* or non-clinical laboratory use. Navigating UK peptide compliance requires strict adherence to the Misuse of Drugs Act for controlled sequences and the UK\u2019s post-Brexit Chemical Business Gateway for import\/export notifications. Buyers must verify that suppliers hold a Home Office licence if the peptide has psychoactive properties, and always avoid human consumption claims. For legitimate research, you must document that peptides are supplied as \u201cresearch chemicals only,\u201d not for diagnostic or therapeutic use. Always audit your sources against the MHRA\u2019s latest guidance, as borderline compounds face periodic reclassification. In practice, maintain batch traceability, MSDS documentation, and ensure disposal follows the Hazardous Waste Regulations to remain compliant. Navigating MHRA Guidelines for Importing and Selling Bioactive Compounds The UK regulatory landscape for research peptides is defined by the Human Medicines Regulations 2012 and the Misuse of Drugs Act 1971, creating a strict but navigable framework. While peptides intended for human consumption are classified as medicinal products, those supplied for in vitro research and laboratory use sit outside clinical licensing, provided they are not advertised for human use. Suppliers must ensure purity, documentation, and compliance with the Psychoactive Substances Act 2016 for any peptide with psychoactive potential. Purchasers, typically academic or biotech institutions, must demonstrate legitimate research purpose. This means that reputable vendors operate in a grey zone where legality hinges on intended use, not the molecule itself. Check the Home Office scheduling status of each peptide. Require a Certificate of Analysis for every batch. Never source peptides claiming &#8220;human consumption&#8221; \u2013 that is a regulatory red flag. The law does not ban research peptides; it bans irresponsible supply. For researchers, the practical takeaway is to document your workstream and source only from UK-based suppliers who openly declare their legal disclaimers. Avoid import risks from unregulated overseas vendors, as UK customs can seize shipments under the Trade in Goods Regulations. The MHRA actively targets suppliers marketing peptides as &#8220;research chemicals&#8221; but promoting bodybuilding or longevity benefits. Therefore, aligning with good laboratory practice standards is your best defence. This clarity empowers legitimate science while penalising misuse, so navigate with intent and you remain compliant. Why British Researchers Are Turning to Custom Peptide Synthesis British researchers are increasingly adopting custom peptide synthesis to overcome the limitations of off-the-shelf biochemical reagents, gaining a decisive competitive edge in drug discovery and molecular biology. By tailoring peptides with precise sequences, post-translational modifications, and unnatural amino acids, scientists can model complex protein interactions, develop targeted therapeutics, and create highly specific biomarkers for diagnostic assays. This bespoke approach not only accelerates translational research but also reduces costly trial-and-error, ensuring that every experiment yields physiologically relevant data. Moreover, the ability to produce stable, high-purity peptides on demand empowers UK labs to explore novel antimicrobial peptides and cell-penetrating carriers, directly addressing the pressing challenge of antibiotic resistance. For any serious research group aiming to publish high-impact findings or advance clinical candidates, investing in custom peptide synthesis is no longer optional\u2014it is the strategic cornerstone of modern, precision-driven biomedical innovation. Advantages of Made-to-Order Sequences in Academic Labs British researchers are increasingly adopting custom peptide synthesis to overcome the limitations of off-the-shelf reagents, enabling precise mimicry of post-translational modifications and the creation of cyclized or D-amino acid analogs that resist enzymatic degradation. This tailored approach is pivotal for mapping antibody epitopes, engineering cell-penetrating peptides for drug delivery, and developing stable isotope-labeled tracers for quantitative proteomics. By controlling chain length, purity, and modification sites, labs can validate biological hypotheses with unmatched accuracy, reducing false positives in high-throughput screening. The technology also accelerates structure-activity relationship studies, allowing rapid iteration of lead compounds for neurodegenerative disease and oncology targets. As a result, custom peptide synthesis is becoming indispensable for translational research, bridging the gap between genomic discoveries and viable therapeutic candidates. **Key advantages over commercial peptides:** &#8211; Site-specific phosphorylation or glycosylation for signaling studies &#8211; Incorporation of non-natural amino acids to boost metabolic stability &#8211; Scalable from milligram research-grade to gram-scale GMP for in vivo work **Q&#038;A** *Q: When should I choose custom over catalog peptides?* A: If you need >90% purity with a difficult sequence (hydrophobic, long >30 residues, or aggregated-prone), or require a unique modification, custom synthesis is more reliable and cost-effective in the long run. Quality Benchmarks: Purity Levels, HPLC Analysis, and Mass Spectrometry British researchers are increasingly ditching off-the-shelf reagents for custom peptide synthesis, and it\u2019s easy to see why. The ability to tweak amino acid sequences at will means they can mimic disease-specific proteins, probe enzyme activity, or design targeted therapeutics with far greater precision than before. This isn\u2019t just lab luxury\u2014it\u2019s speed. Commercially available peptides often come with long lead times or limited modifications, while custom orders from UK-based suppliers arrive in days, with options like phosphorylation, cyclisation, or fluorescent tags baked right in. For teams racing to publish or patent, that flexibility is a game-changer. Plus, the growing focus on personalised medicine means every project demands a slightly different molecular tool, and a one-size-fits-all catalogue simply can\u2019t keep up. It\u2019s practical, fast, and increasingly affordable, which is why labs from Oxford to Manchester are making the switch. Turnaround Times and Minimum Order Quantities from Domestic Suppliers British researchers are increasingly adopting custom peptide synthesis to overcome the limitations of off-the-shelf reagents, enabling precise control over sequence length, modifications, and purity for downstream assays. This tailored approach accelerates drug discovery, vaccine development, and mechanistic studies in cell biology, particularly when studying protein-protein interactions or post-translational modifications. The flexibility to produce stable, isotope-labeled, or cyclic peptides\u2014often within days\u2014reduces bottlenecks compared to traditional recombinant expression, which struggles with small hydrophobic sequences. Custom peptide synthesis is now the backbone of high-throughput screening in UK biotech. Many labs pair this with advanced purification (HPLC, MS) to achieve >95% purity, critical for reproducible results. \u201cIf your experiment hinges on a specific epitope or a difficult modification, custom synthesis isn\u2019t a luxury\u2014it\u2019s the only viable route.\u201d For early-stage research, this on-demand service minimizes waste of animal or cell models, while also supporting bespoke biomaterials and diagnostic probes. Ultimately, the shift reflects a pragmatic move toward precision-driven, cost-effective translational science. Popular Peptide Categories Gaining Traction Across UK Laboratories Across the bustling labs of Cambridge and the biotech corridors of Manchester, a quiet revolution is unfolding as researchers trade bulky proteins for sleek, precision-designed peptides. The most buzzed-about category is **antimicrobial peptides (AMPs)**, which UK teams are racing to develop as a last-line defense against drug-resistant superbugs\u2014each sequence a tiny, positively-charged dagger that shreds bacterial membranes. Equally magnetic are **cyclic peptides**, prized for their rock-like stability in the bloodstream, allowing oral delivery of drugs that once demanded painful injections. Meanwhile, **cell-penetrating peptides (CPPs)** are stealing showtime in gene-editing workflows, ferrying CRISPR payloads into nuclei with startling efficiency. What ties these trends together is a distinctly British pragmatism: labs are no longer chasing novelty for its own sake, but engineering peptide libraries that solve real clinical bottlenecks. From gut-restricted mimics to stapled helices targeting protein-protein interactions, the field feels less like a trend and more like a scaffolding for tomorrow\u2019s therapeutics\u2014a quiet hum of synthesis machines echoing through sterilised rooms. Growth Hormone Secretagogues: Research into GHRP and Ipamorelin Analogues Across UK labs, researchers are increasingly turning to specific peptide categories that balance stability with bioactivity. Antimicrobial peptides (AMPs) are hot right now, especially for tackling drug-resistant bacteria, while cell-penetrating peptides (CPPs) are revolutionising drug delivery by shuttling therapeutics straight into cells. Peptide-based research reagents for targeted protein degradation are also climbing fast, particularly cyclic peptides that bind \u201cundruggable\u201d surfaces. Meanwhile, collagen-mimetic and elastin-like peptides are gaining ground in tissue engineering and regenerative medicine, thanks to their self-assembling properties. The shift is driven by cheaper synthesis and better analytical tools, making these once-niche molecules a staple in both academic and biotech settings. AMPs \u2013 infection control, wound healing CPPs \u2013 intracellular delivery of siRNA, proteins Cyclic peptides \u2013 high metabolic stability, oral potential Self-assembling peptides \u2013 hydrogels, 3D cell culture Q: Why are cyclic peptides so popular now?A: They resist enzymatic breakdown better than linear ones, so they stay active longer in serum \u2013 a big win for in vivo studies. Thymus-Derived Peptides: Potential Immunomodulatory Applications UK labs are increasingly pivoting toward specialised peptide categories that balance bioactivity with practical stability. Antimicrobial peptides (AMPs) are a clear frontrunner, driven by the urgent need to combat resistant bacteria \u2014 researchers are screening frog skin and marine-derived sequences for rapid, membrane-disrupting action. Meanwhile, **cell-penetrating peptides (CPPs)** are gaining serious momentum as delivery vectors for CRISPR components and oligonucleotides, with teams refining arginine-rich motifs to boost endosomal escape. Cyclic peptides also get a look-in for targeting protein-protein interactions that linear chains can\u2019t lock onto, plus stapled variants are showing improved metabolic half-life in early assays. Finally, peptide hormones and growth-factor mimetics remain steady workhorses, especially in tissue engineering and metabolic disease models. The buzz is definitely around multifunctional hybrids \u2014 combining AMP and CPP domains into single scaffolds. This shift prioritises practical reproducibility over exotic novelty, which makes translation smoother. Collagen and Copper Tripeptide Studies in Dermatological Research Across UK laboratories, research interest is increasingly focusing on bioactive peptide categories with therapeutic and diagnostic potential. Antimicrobial peptides (AMPs) are being studied for their role in combating drug-resistant pathogens, while collagen-derived peptides are evaluated for tissue engineering and wound-healing applications. Cell-penetrating peptides (CPPs) are gaining traction for intracellular drug delivery, and cyclic peptides are favoured for their enhanced metabolic stability and receptor selectivity. Additionally, peptide hormones and growth factor mimetics are under investigation for endocrine and regenerative medicine studies. The growing demand for stable, scalable peptide synthesis is driving adoption of solid-phase methods and advanced purification techniques. This shift reflects a broader movement toward precision biologics, though regulatory and reproducibility challenges remain central to ongoing validation efforts. Cost-effective production still limits widespread clinical translation. Comparing Domestic Producers vs. Overseas Vendors for UK-Based Buyers For UK-based buyers, the choice between domestic producers and overseas vendors hinges on a delicate balance of speed, cost, and resilience. While overseas suppliers often tempt with dramatically lower unit prices and vast scale, they introduce hidden risks: extended shipping timelines, complex customs paperwork, and volatile freight costs that can erode margins overnight. Conversely, partnering with British manufacturers delivers unmatched agility, allowing for rapid prototyping, smaller minimum order quantities, and tighter quality control. Moreover, domestic sourcing significantly reduces your carbon footprint and shields you from geopolitical disruptions, a growing priority for discerning brands. However, the price premium can be steep. The smart strategy isn&#8217;t dogmatic; it&#8217;s hybrid. Use overseas vendors for high-volume, non-urgent core components to maximise supply chain cost efficiency, while reserving UK partners for bespoke, time-critical or high-touch items where local manufacturing advantages translate directly into customer satisfaction and brand trust. Shipping Costs, Customs Delays, and Brexit-Related Compliance Hurdles When UK buyers weigh domestic producers against overseas vendors, it\u2019s often a tug-of-war between speed and savings. Local makers win on lead times, easier https:\/\/biovantaresearch.com\/product\/retatrutide-5mg\/ communication, and simpler compliance with UK regulations\u2014plus you can visit their facility if needed. Overseas vendors, especially in Asia, usually offer lower unit costs and massive scalability, but you\u2019ll grapple with shipping delays, import duties, and quality control from afar. For smaller batches or custom work, staying local often makes sense, while high-volume, cost-sensitive orders lean offshore. Balancing total landed cost with risk tolerance is the real game-changer. A quick comparison: domestic excels in agility and transparency; overseas shines in price and capacity. If you need rapid iterations or tight deadlines, near-shoring beats chasing the cheapest quote every time. Before committing, factor in VAT, freight, and return logistics\u2014not just the sticker price. Ultimately, a hybrid approach\u2014domestic for prototypes, overseas for scale\u2014gives UK buyers the best of both worlds. Third-Party Lab Testing: Verifying Claims from International Suppliers For UK-based buyers, choosing between domestic producers and overseas vendors is a strategic decision that hinges on lead times, quality control, and total landed cost. Domestic manufacturing offers faster delivery, easier compliance with UKCA standards, and lower carbon footprint, making it ideal for time-sensitive or premium orders. However, overseas vendors, particularly in Asia, often provide significant cost savings on raw materials and labour, which can boost profit margins for high-volume, non-urgent goods. The trade-off is clear: you pay more for agility and reliability at home, or you accept longer shipping windows and potential communication barriers abroad. Mitigate overseas risks by requesting pre-shipment inspections and using Incoterms like DDP to lock in final pricing. For bespoke products or repeatable, quality-critical runs, UK sourcing remains the safer bet. Ultimately, the best approach is hybrid: leverage offshore pricing for standard SKUs while reserving domestic suppliers for rush orders and after-sales support. Customer Support and Batch Consistency in Long-Term Study Protocols For UK-based buyers, the choice between domestic producers and overseas vendors hinges on a complex trade-off between cost, speed, and control. Domestic sourcing typically offers shorter lead times, simpler logistics, and easier compliance with local regulations, which reduces the risk of customs delays or communication breakdowns. Conversely, overseas vendors, particularly in Asia, often provide significantly lower unit costs due to cheaper labour and materials, but these savings can be eroded by shipping fees, import duties, and the need for larger minimum order quantities. While domestic partners excel at rapid prototyping and responsive after-sales support, overseas suppliers may win on scalability and price flexibility. Ultimately, the decision often depends on product complexity, margin sensitivity, and whether the buyer prioritises **supply chain resilience** over immediate cost reduction. A hybrid strategy\u2014using domestic for small batches and overseas for bulk\u2014is increasingly common among UK SMEs. Storage, Handling, and Stability Protocols for Lyophilized Peptides When you get your hands on lyophilized peptides, the golden rule is keeping them bone-dry and away from moisture, heat, and light. Always store the un-reconstituted powder in a tightly sealed vial, ideally at -20\u00b0C, and avoid frequent temperature swings\u2014so don\u2019t pop them in and out of the freezer repeatedly. Before opening a vial, let it sit at room temperature for a few minutes to prevent condensation from ruining the delicate **peptide stability**. For handling, always use sterile or at least clean tools, and never touch the powder with bare fingers or introduce water until you\u2019re ready to reconstitute. Once dissolved, peptides degrade fast, so split them into single-use aliquots and freeze promptly. Stability protocols also mean avoiding vortexing or harsh shaking, as that can break peptide chains. Follow these simple steps, and your **lyophilized peptide storage** will stay reliable for months. Optimal Reconstitution Methods for Maintaining Bioactivity in the Lab Lyophilized peptides arrive as fragile, crystalline powders, resting in a state of suspended animation. Their stability hinges on absolute dryness; even a whisper of moisture can trigger hydrolysis and aggregation. The golden rule is to store them desiccated, ideally at \u201320\u00b0C, shielding them from light and temperature fluctuations that accelerate degradation. Before opening, always equilibrate the vial to room temperature to prevent condensation from clinging to the powder. When handling, use sterile, low-binding pipette tips and dissolve the peptide in the recommended solvent\u2014often sterile water or acetic acid\u2014to avoid clumping. For reconstitution, gently swirl, never vortex, to protect the delicate structure. Any unused solution should be aliquoted and frozen immediately, as repeated freeze-thaw cycles are the primary enemy of **peptide stability and integrity. Always record the reconstitution date and adhere to the manufacturer&#8217;s expiration guidelines. Temperature Fluctuations and Their Effect on Peptide Shelf Life Proper storage begins immediately after reconstitution\u2014never freeze a dissolved peptide, as ice crystal formation disrupts tertiary structure and accelerates degradation. For&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-42494","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/blog.nuovawebs.com\/index.php\/wp-json\/wp\/v2\/posts\/42494","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.nuovawebs.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.nuovawebs.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.nuovawebs.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.nuovawebs.com\/index.php\/wp-json\/wp\/v2\/comments?post=42494"}],"version-history":[{"count":1,"href":"https:\/\/blog.nuovawebs.com\/index.php\/wp-json\/wp\/v2\/posts\/42494\/revisions"}],"predecessor-version":[{"id":42496,"href":"https:\/\/blog.nuovawebs.com\/index.php\/wp-json\/wp\/v2\/posts\/42494\/revisions\/42496"}],"wp:attachment":[{"href":"https:\/\/blog.nuovawebs.com\/index.php\/wp-json\/wp\/v2\/media?parent=42494"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.nuovawebs.com\/index.php\/wp-json\/wp\/v2\/categories?post=42494"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.nuovawebs.com\/index.php\/wp-json\/wp\/v2\/tags?post=42494"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}