ProBID-Net: a deep learning model for protein-protein binding interface design.

ABSTRACT: Protein-protein interactions are pivotal in numerous biological processes. The computational design of these interactions facilitates the creation of novel binding proteins, crucial for advancing biopharmaceutical products. With the evolution of artificial intelligence (AI), protein design tools have swiftly transitioned from scoring-function-based to AI-based models. However, many AI models for protein design are constrained by assuming complete unfamiliarity with the amino acid sequence of the input protein, a feature most suited for de novo design but posing challenges in designing protein-protein interactions when the receptor sequence is known. To bridge this gap in computational protein design, we introduce ProBID-Net. Trained using natural protein-protein complex structures a

SUBMITTER: Chen Z 

PROVIDER: S-EPMC11575592 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature