DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model.

ABSTRACT:

Motivation

Identifying the functional sites of a protein, such as the binding sites of proteins, peptides, or other biological components, is crucial for understanding related biological processes and drug design. However, existing sequence-based methods have limited predictive accuracy, as they only consider sequence-adjacent contextual features and lack structural information.

Results

In this study, DeepProSite is presented as a new framework for identifying protein binding site that utilizes protein structure and sequence information. DeepProSite first generates protein structures from ESMFold and sequence representations from pretrained language models. It then uses Graph Transformer and formulates binding site predictions as graph node classifications. In predicting pro

SUBMITTER: Fang Y 

PROVIDER: S-EPMC10723037 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature