Literature DB >> 35670671

iBIS2Analyzer: a web server for a phylogeny-driven coevolution analysis of protein families.

Francesco Oteri1, Edoardo Sarti1, Francesca Nadalin1, Alessandra Carbone1.   

Abstract

Residue coevolution within and between proteins is used as a marker of physical interaction and/or residue functional cooperation. Pairs or groups of coevolving residues are extracted from multiple sequence alignments based on a variety of computational approaches. However, coevolution signals emerging in subsets of sequences might be lost if the full alignment is considered. iBIS2Analyzer is a web server dedicated to a phylogeny-driven coevolution analysis of protein families with different evolutionary pressure. It is based on the iterative version, iBIS2, of the coevolution analysis method BIS, Blocks in Sequences. iBIS2 is designed to iteratively select and analyse subtrees in phylogenetic trees, possibly large and comprising thousands of sequences. With iBIS2Analyzer, openly accessible at http://ibis2analyzer.lcqb.upmc.fr/, the user visualizes, compares and inspects clusters of coevolving residues by mapping them onto sequences, alignments or structures of choice, greatly simplifying downstream analysis steps. A rich and interactive graphic interface facilitates the biological interpretation of the results.
© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2022        PMID: 35670671      PMCID: PMC9252744          DOI: 10.1093/nar/gkac481

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   19.160


  31 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-21       Impact factor: 11.205

4.  Coevolutionary signals across protein lineages help capture multiple protein conformations.

Authors:  Faruck Morcos; Biman Jana; Terence Hwa; José N Onuchic
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-02       Impact factor: 11.205

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Journal:  Cell       Date:  2020-03-05       Impact factor: 41.582

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Journal:  Nature       Date:  2021-07-22       Impact factor: 69.504

10.  Highly accurate protein structure prediction with AlphaFold.

Authors:  John Jumper; Richard Evans; Alexander Pritzel; Tim Green; Michael Figurnov; Olaf Ronneberger; Kathryn Tunyasuvunakool; Russ Bates; Augustin Žídek; Anna Potapenko; Alex Bridgland; Clemens Meyer; Simon A A Kohl; Andrew J Ballard; Andrew Cowie; Bernardino Romera-Paredes; Stanislav Nikolov; Rishub Jain; Demis Hassabis; Jonas Adler; Trevor Back; Stig Petersen; David Reiman; Ellen Clancy; Michal Zielinski; Martin Steinegger; Michalina Pacholska; Tamas Berghammer; Sebastian Bodenstein; David Silver; Oriol Vinyals; Andrew W Senior; Koray Kavukcuoglu; Pushmeet Kohli
Journal:  Nature       Date:  2021-07-15       Impact factor: 49.962

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