Engineering selective amyloid precursor protein inhibitors by machine learning and deep mutational scanning.

Abstract excerpt

Deep mutational scanning (DMS) has proven effective for mapping protein-protein interactions (PPIs), but it cannot provide complete coverage of the mutation landscape, particularly for multi-mutant variants. To address this limitation, we trained machine-learning (ML) models on previously generated DMS data for a stabilized amyloid precursor protein inhibitor (APPI) binding to either of two serine proteases,...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Amyloid beta-Protein Precursor
• Share to Machine Learning