PT - JOURNAL ARTICLE AU - Cheung, Ngaam J. AU - Peter, Arun T. John AU - Kornmann, Benoit TI - Leri: a web-server for identifying protein functional networks from evolutionary couplings AID - 10.1101/2020.12.22.421388 DP - 2020 Jan 01 TA - bioRxiv PG - 2020.12.22.421388 4099 - http://biorxiv.org/content/early/2020/12/22/2020.12.22.421388.short 4100 - http://biorxiv.org/content/early/2020/12/22/2020.12.22.421388.full AB - Information on the co-evolution of amino acid pairs in a protein can be used for endeavors such as protein engineering, mutation design, and structure prediction. Here we report a method that captures significant determinants of proteins using estimated co-evolution information to identify networks of residues, termed “residue communities”, relevant to protein function. By taking advantage of recent developments in high-performance and parallel computing, we constructed a web-server, Leri, that identifies relevant residue communities to allow researchers to investigate how a protein evolves and folds for function(s). All the data of the computational results including high-quality images can be downloaded and presented for publication. This web-server, written in C++, is sufficiently rapid to enable the studies on proteins of up to 400 amino acids.Competing Interest StatementPotential conflicts of interest. N.J.C. (Y. Z.) is a founder of Leri Ltd based in Oxford, UK. All other authors report no conflicts of interest relevant to this article.