bioRxiv · 10.1101/2020.12.22.421388
Leri: a web-server for identifying protein functional networks from evolutionary couplings
Abstract
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.
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Cheung, N. J., Peter, A. T. J., Kornmann, B.. 2020-12-22. Leri: a web-server for identifying protein functional networks from evolutionary couplings. https://doi.org/10.1101/2020.12.22.421388
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