Protein Interaction Interface Region Prediction by Geometric Deep Learning.

ABSTRACT: Protein-protein interactions drive wide-ranging molecular processes, and characterizing at the atomic level how proteins interact (beyond just the fact that they interact) can provide key insights into understanding and controlling this machinery. Unfortunately, experimental determination of three-dimensional protein complex structures remains difficult and does not scale to the increasingly large sets of proteins whose interactions are of interest. Computational methods are thus required to meet the demands of large-scale, high-throughput prediction of how proteins interact, but unfortunately both physical modeling and machine learning methods suffer from poor precision and/or recall. In order to improve performance in predicting protein interaction interfaces, we leverage the best proper

SUBMITTER: Dai B 

PROVIDER: S-EPMC8428585 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature