Literature DB >> 31396912

Coevolutionary Analysis of Protein Sequences for Molecular Modeling.

Duccio Malinverni1, Alessandro Barducci2.   

Abstract

Thanks to the explosion of genomic sequencing, coevolutionary analysis of protein sequences has gained great and ever-increasing popularity in the last decade, and it is currently an important and well-established tool in structural bioinformatics and computational biology. This chapter concisely introduces the theoretical foundation and the practical aspects of coevolutionary analysis, as well as discusses the molecular modeling strategies to exploit its results in the study of protein structure, dynamics, and interactions. We present here a complete pipeline from sequence extraction to contact prediction through two examples, focusing on the predictions of inter-residue contacts in a single protein domain and on the analysis of a multi-domain protein that undergoes functional, large-scale conformational transitions.

Keywords:  Conformational dynamics; Direct-coupling analysis; Protein complexes; Residue contact prediction; Structural bioinformatics

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Substances:

Year:  2019        PMID: 31396912     DOI: 10.1007/978-1-4939-9608-7_16

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Self-organization of parS centromeres by the ParB CTP hydrolase.

Authors:  Young-Min Soh; Iain Finley Davidson; Stefano Zamuner; Jérôme Basquin; Florian Patrick Bock; Michael Taschner; Jan-Willem Veening; Paolo De Los Rios; Jan-Michael Peters; Stephan Gruber
Journal:  Science       Date:  2019-10-24       Impact factor: 47.728

2.  Computational pipeline to probe NaV1.7 gain-of-function variants in neuropathic painful syndromes.

Authors:  Alberto A Toffano; Giacomo Chiarot; Stefano Zamuner; Margherita Marchi; Erika Salvi; Stephen G Waxman; Catharina G Faber; Giuseppe Lauria; Achille Giacometti; Marta Simeoni
Journal:  Sci Rep       Date:  2020-10-21       Impact factor: 4.379

  2 in total

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