Recently, a range of effective methods have been developed for predicting protein-protein interactions (PPIs). Among them, the methods based on data derived from protein sequences and structures have ...

Explore the mechanics behind elevators in this video, which delves into the cables, locks, and clever engineering that ...

Abstract: Deep learning-based protein function analysis is rapidly advancing, but most methods rely heavily on labeled data, which is typically scarce due to the need for expensive wet lab experiments ...

This work presents PKR3dC, a deep learning approach for drug-target affinity (DTA) prediction that integrates residue 3D coordinate information from PDB files and known affinity values as prior ...