DeepRank-GNN-esm: a graph neural network for scoring protein-protein models using protein language model.

ABSTRACT:

Motivation

Protein-Protein interactions (PPIs) play critical roles in numerous cellular processes. By modelling the 3D structures of the correspond protein complexes valuable insights can be obtained, providing, e.g. starting points for drug and protein design. One challenge in the modelling process is however the identification of near-native models from the large pool of generated models. To this end we have previously developed DeepRank-GNN, a graph neural network that integrates structural and sequence information to enable effective pattern learning at PPI interfaces. Its main features are related to the Position Specific Scoring Matrices (PSSMs), which are computationally expensive to generate, significantly limits the algorithm's usability.

Results

We introduce here D

SUBMITTER: Xu X 

PROVIDER: S-EPMC10782804 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature