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Perspectives: artificial intelligence and dermatological peptide design Generative AI tools (AlphaFold 3, RFdiffusion, ESM-3) are transforming the design of new dermatological peptides: De novo design of peptides binding to specific cutaneous receptors (EGFR, FGFR, MC1R) Cutaneous penetration prediction by QSAR/ML models integrating physicochemical properties Multiparametric optimisation : stability, solubility, activity, non-toxicity treated simultaneously Virtual peptide libraries computationally screened before real SPPS synthesis For an academic laboratory, these approaches reduce the number of peptides to physically synthesise by several orders of magnitude

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Always use sterile techniques, alcohol swabs, and ensure the peptide is properly reconstituted with bacteriostatic water

Bnfices tudis Rgnration cutane et anti-ge Des tudes cliniques contrles ont dmontr que le GHK-Cu amliore la densit et l'paisseur du derme, augmente la production de collagne et d'lastine, et rduit visiblement les rides et les ridules