Literature DB >> 12910454

Identification of functionally conserved residues with the use of entropy-variability plots.

Laerte Oliveira1, Paulo B Paiva, Antonio C M Paiva, Gerrit Vriend.   

Abstract

We introduce sequence entropy-variability plots as a method of analyzing families of protein sequences, and demonstrate this for three well-known sequence families: globins, ras-like proteins, and serine-proteases. The location of an aligned residue position in the entropy-variability plot correlates with structural characteristics, and with known facts about the roles of individual amino acids in the function of these proteins. The large numbers of known sequences in these families allowed us to introduce new filtering methods for variability patterns. The results are discussed in terms of a simple evolutionary model for functional proteins. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12910454     DOI: 10.1002/prot.10490

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  20 in total

1.  Rod and cone opsin families differ in spectral tuning domains but not signal transducing domains as judged by saturated evolutionary trace analysis.

Authors:  Karen L Carleton; Tyrone C Spady; Rick H Cote
Journal:  J Mol Evol       Date:  2005-06-16       Impact factor: 2.395

2.  Forecasting residue-residue contact prediction accuracy.

Authors:  P P Wozniak; B M Konopka; J Xu; G Vriend; M Kotulska
Journal:  Bioinformatics       Date:  2017-11-01       Impact factor: 6.937

3.  GPCRDB: information system for G protein-coupled receptors.

Authors:  Bas Vroling; Marijn Sanders; Coos Baakman; Annika Borrmann; Stefan Verhoeven; Jan Klomp; Laerte Oliveira; Jacob de Vlieg; Gert Vriend
Journal:  Nucleic Acids Res       Date:  2010-11-02       Impact factor: 16.971

4.  New methods to measure residues coevolution in proteins.

Authors:  Hongyun Gao; Yongchao Dou; Jialiang Yang; Jun Wang
Journal:  BMC Bioinformatics       Date:  2011-05-26       Impact factor: 3.169

5.  Why should we care about molecular coevolution?

Authors:  Francisco M Codoñer; Mario A Fares
Journal:  Evol Bioinform Online       Date:  2008-02-14       Impact factor: 1.625

6.  Incorporating background frequency improves entropy-based residue conservation measures.

Authors:  Kai Wang; Ram Samudrala
Journal:  BMC Bioinformatics       Date:  2006-08-17       Impact factor: 3.169

7.  A statistical score for assessing the quality of multiple sequence alignments.

Authors:  Virpi Ahola; Tero Aittokallio; Mauno Vihinen; Esa Uusipaikka
Journal:  BMC Bioinformatics       Date:  2006-11-03       Impact factor: 3.169

8.  A method for the prediction of GPCRs coupling specificity to G-proteins using refined profile Hidden Markov Models.

Authors:  Nikolaos G Sgourakis; Pantelis G Bagos; Panagiotis K Papasaikas; Stavros J Hamodrakas
Journal:  BMC Bioinformatics       Date:  2005-04-22       Impact factor: 3.169

Review 9.  Current progress in Structure-Based Rational Drug Design marks a new mindset in drug discovery.

Authors:  Valère Lounnas; Tina Ritschel; Jan Kelder; Ross McGuire; Robert P Bywater; Nicolas Foloppe
Journal:  Comput Struct Biotechnol J       Date:  2013-04-02       Impact factor: 7.271

10.  Computing highly correlated positions using mutual information and graph theory for G protein-coupled receptors.

Authors:  Sarosh N Fatakia; Stefano Costanzi; Carson C Chow
Journal:  PLoS One       Date:  2009-03-05       Impact factor: 3.240

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