Using evolutionary data to make sense of macromolecules with a "face-lifted" ConSurf.

ABSTRACT: The ConSurf web-sever for the analysis of proteins, RNA, and DNA provides a quick and accurate estimate of the per-site evolutionary rate among homologues. The analysis reveals functionally important regions, such as catalytic and ligand-binding sites, which often evolve slowly. Since the last report in 2016, ConSurf has been improved in multiple ways. It now has a user-friendly interface that makes it easier to perform the analysis and to visualize the results. Evolutionary rates are calculated based on a set of homologous sequences, collected using hidden Markov model-based search tools, recently embedded in the pipeline. Using these, and following the removal of redundancy, ConSurf assembles a representative set of effective homologues for protein and nucleic acid queries to enable info

SUBMITTER: Yariv B 

PROVIDER: S-EPMC9942591 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature