PyCoM: a python library for large-scale analysis of residue-residue coevolution data.

ABSTRACT:

Motivation

Computational methods to detect correlated amino acid positions in proteins have become a valuable tool to predict intra- and inter-residue protein contacts, protein structures, and effects of mutation on protein stability and function. While there are many tools and webservers to compute coevolution scoring matrices, there is no central repository of alignments and coevolution matrices for large-scale studies and pattern detection leveraging on biological and structural annotations already available in UniProt.

Results

We present a Python library, PyCoM, which enables users to query and analyze coevolution matrices and sequence alignments of 457 622 proteins, selected from UniProtKB/Swiss-Prot database (length ≤ 500 residues), from a precompiled coevolution matri

SUBMITTER: Bibik P 

PROVIDER: S-EPMC11009027 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature