Literature DB >> 24740960

From local structure to a global framework: recognition of protein folds.

Agnel Praveen Joseph1, Alexandre G de Brevern.   

Abstract

Protein folding has been a major area of research for many years. Nonetheless, the mechanisms leading to the formation of an active biological fold are still not fully apprehended. The huge amount of available sequence and structural information provides hints to identify the putative fold for a given sequence. Indeed, protein structures prefer a limited number of local backbone conformations, some being characterized by preferences for certain amino acids. These preferences largely depend on the local structural environment. The prediction of local backbone conformations has become an important factor to correctly identifying the global protein fold. Here, we review the developments in the field of local structure prediction and especially their implication in protein fold recognition.

Keywords:  bioinformatics; local structure prediction; protein fold recognition; sequence annotation; structural alphabets; threading

Mesh:

Substances:

Year:  2014        PMID: 24740960      PMCID: PMC4006237          DOI: 10.1098/rsif.2013.1147

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  248 in total

1.  Bayesian probabilistic approach for predicting backbone structures in terms of protein blocks.

Authors:  A G de Brevern; C Etchebest; S Hazout
Journal:  Proteins       Date:  2000-11-15

2.  GeneSilico protein structure prediction meta-server.

Authors:  Michal A Kurowski; Janusz M Bujnicki
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

3.  Crystallographic and biochemical studies of DivK reveal novel features of an essential response regulator in Caulobacter crescentus.

Authors:  Valérie Guillet; Noriko Ohta; Stephanie Cabantous; Austin Newton; Jean-Pierre Samama
Journal:  J Biol Chem       Date:  2002-08-10       Impact factor: 5.157

4.  Porter: a new, accurate server for protein secondary structure prediction.

Authors:  Gianluca Pollastri; Aoife McLysaght
Journal:  Bioinformatics       Date:  2004-12-07       Impact factor: 6.937

5.  Protein structure prediction on the Web: a case study using the Phyre server.

Authors:  Lawrence A Kelley; Michael J E Sternberg
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

6.  What has high-throughput sequencing ever done for us?

Authors:  Julian Parkhill
Journal:  Nat Rev Microbiol       Date:  2013-08-27       Impact factor: 60.633

7.  High quality protein sequence alignment by combining structural profile prediction and profile alignment using SABER-TOOTH.

Authors:  Florian Teichert; Jonas Minning; Ugo Bastolla; Markus Porto
Journal:  BMC Bioinformatics       Date:  2010-05-14       Impact factor: 3.169

8.  Flexible secondary structure based protein structure comparison applied to the detection of circular permutation.

Authors:  Jakob Vesterstrøm; William R Taylor
Journal:  J Comput Biol       Date:  2006 Jan-Feb       Impact factor: 1.479

9.  Kernel-based machine learning protocol for predicting DNA-binding proteins.

Authors:  Nitin Bhardwaj; Robert E Langlois; Guijun Zhao; Hui Lu
Journal:  Nucleic Acids Res       Date:  2005-11-10       Impact factor: 16.971

10.  Analysis of protein chameleon sequence characteristics.

Authors:  Amine Ghozlane; Agnel Praveen Joseph; Aurelie Bornot; Alexandre G de Brevern
Journal:  Bioinformation       Date:  2009-05-04
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  4 in total

Review 1.  Protein flexibility in the light of structural alphabets.

Authors:  Pierrick Craveur; Agnel P Joseph; Jeremy Esque; Tarun J Narwani; Floriane Noël; Nicolas Shinada; Matthieu Goguet; Sylvain Leonard; Pierre Poulain; Olivier Bertrand; Guilhem Faure; Joseph Rebehmed; Amine Ghozlane; Lakshmipuram S Swapna; Ramachandra M Bhaskara; Jonathan Barnoud; Stéphane Téletchéa; Vincent Jallu; Jiri Cerny; Bohdan Schneider; Catherine Etchebest; Narayanaswamy Srinivasan; Jean-Christophe Gelly; Alexandre G de Brevern
Journal:  Front Mol Biosci       Date:  2015-05-27

2.  Analysing the Structural Effect of Point Mutations of Cytotoxic Necrotizing Factor 1 (CNF1) on Lu/BCAM Adhesion Glycoprotein Association.

Authors:  Alexandre G de Brevern
Journal:  Toxins (Basel)       Date:  2018-03-13       Impact factor: 4.546

3.  Structural analysis of the Aβ(11-42) amyloid fibril based on hydrophobicity distribution.

Authors:  Irena Roterman; Dawid Dułak; Małgorzata Gadzała; Mateusz Banach; Leszek Konieczny
Journal:  J Comput Aided Mol Des       Date:  2019-07-10       Impact factor: 3.686

4.  Using Local States To Drive the Sampling of Global Conformations in Proteins.

Authors:  Alessandro Pandini; Arianna Fornili
Journal:  J Chem Theory Comput       Date:  2016-02-12       Impact factor: 6.006

  4 in total

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