Computational Peptide Prioritization
A small biopharma company sought to rationally prioritize a library of peptide candidates ahead of costly in vitro and in vivo screening. The engagement involved structure-based computational modeling of candidate conformational fit against the target binding site on a defined oncology target protein. The analysis yielded a ranked candidate list with predicted binding properties, enabling the client to focus experimental resources on the most promising leads and accelerate entry into wet lab validation.

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