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Join the Peptide Drug Hunting Consortium for a webinar exploring computational and AI-driven approaches to de novo peptide design and optimization. The session will examine how structure-based modeling can help identify binding sites and modes, generate peptides against defined protein targets, and optimize experimentally discovered hits.
Speakers from Meddenovo and Receptor.AI will highlight complementary approaches spanning multiscale modeling of cyclic peptides, AI-guided design, physics-based molecular modeling, and multiparameter optimization. The webinar will provide practical insights into how computational models can be integrated with experimental discovery to advance peptide and cyclic peptide leads toward improved binding, stability, developability, and therapeutic potential.