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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

An allergen that binds to at least two IgE antibodies reaches a sensitized mast cell and leads to its degranulation via an antigen bridge

Tumor targeted curcumin delivery by folate-modified MPEG-PCL self-assembly micelles for colorectal cancer therapy

The uv-vis absorption and emission spectra of the products are presented in Figure 1 & 2 respectively

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And using non FDA approved peptides puts users in danger of the dangerous consequences of using them that government agencies warn of