ProNet DB: a proteome-wise database for protein surface property representations and RNA-binding profiles.

ABSTRACT: The rapid growth in the number of experimental and predicted protein structures and more complicated protein structures poses a significant challenge for computational biology in leveraging structural information and accurate representation of protein surface properties. Recently, AlphaFold2 released the comprehensive proteomes of various species, and protein surface property representation plays a crucial role in protein-molecule interaction predictions, including those involving proteins, nucleic acids and compounds. Here, we proposed the first extensive database, namely ProNet DB, that integrates multiple protein surface representations and RNA-binding landscape for 326 175 protein structures. This collection encompasses the 16 model organism proteomes from the AlphaFold Protein Structu

SUBMITTER: Wei J 

PROVIDER: S-EPMC10984565 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature