Literature DB >> 17623859

Ideal amino acid exchange forms for approximating substitution matrices.

Piotr Pokarowski1, Andrzej Kloczkowski, Szymon Nowakowski, Maria Pokarowska, Robert L Jernigan, Andrzej Kolinski.   

Abstract

We have analyzed 29 published substitution matrices (SMs) and five statistical protein contact potentials (CPs) for comparison. We find that popular, 'classical' SMs obtained mainly from sequence alignments of globular proteins are mostly correlated by at least a value of 0.9. The BLOSUM62 is the central element of this group. A second group includes SMs derived from alignments of remote homologs or transmembrane proteins. These matrices correlate better with classical SMs (0.8) than among themselves (0.7). A third group consists of intermediate links between SMs and CPs - matrices and potentials that exhibit mutual correlations of at least 0.8. Next, we show that SMs can be approximated with a correlation of 0.9 by expressions c(0) + x(i)x(j) + y(i)y(j) + z(i)z(j), 1<or= i, j <or= 20, where c(0) is a constant and the vectors (x(i)), (y(i)), (z(i)) correlate highly with hydrophobicity, molecular volume and coil preferences of amino acids, respectively. The present paper is the continuation of our work (Pokarowski et al., Proteins 2005;59:49-57), where similar approximation were used to derive ideal amino acid interaction forms from CPs. Both approximations allow us to understand general trends in amino acid similarity and can help improve multiple sequence alignments using the fast Fourier transform (MAFFT), fast threading or another methods based on alignments of physicochemical profiles of protein sequences. The use of this approximation in sequence alignments instead of a classical SM yields results that differ by less than 5%. Intermediate links between SMs and CPs, new formulas for approximating these matrices, and the highly significant dependence of classical SMs on coil preferences are new findings. (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17623859     DOI: 10.1002/prot.21509

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


  8 in total

1.  Distance matrix-based approach to protein structure prediction.

Authors:  Andrzej Kloczkowski; Robert L Jernigan; Zhijun Wu; Guang Song; Lei Yang; Andrzej Kolinski; Piotr Pokarowski
Journal:  J Struct Funct Genomics       Date:  2009-02-18

2.  The Ancient Operational Code is Embedded in the Amino Acid Substitution Matrix and aaRS Phylogenies.

Authors:  Julia A Shore; Barbara R Holland; Jeremy G Sumner; Kay Nieselt; Peter R Wills
Journal:  J Mol Evol       Date:  2019-11-28       Impact factor: 2.395

3.  AAindex: amino acid index database, progress report 2008.

Authors:  Shuichi Kawashima; Piotr Pokarowski; Maria Pokarowska; Andrzej Kolinski; Toshiaki Katayama; Minoru Kanehisa
Journal:  Nucleic Acids Res       Date:  2007-11-12       Impact factor: 16.971

4.  Derivation of an amino acid similarity matrix for peptide: MHC binding and its application as a Bayesian prior.

Authors:  Yohan Kim; John Sidney; Clemencia Pinilla; Alessandro Sette; Bjoern Peters
Journal:  BMC Bioinformatics       Date:  2009-11-30       Impact factor: 3.169

5.  Inconsistent distances in substitution matrices can be avoided by properly handling hydrophobic residues.

Authors:  J Baussand; A Carbone
Journal:  Evol Bioinform Online       Date:  2008-10-09       Impact factor: 1.625

6.  Analysis of the impact of solvent on contacts prediction in proteins.

Authors:  Sergey A Samsonov; Joan Teyra; Gerd Anders; M Teresa Pisabarro
Journal:  BMC Struct Biol       Date:  2009-04-15

7.  Nature of protein family signatures: insights from singular value analysis of position-specific scoring matrices.

Authors:  Akira R Kinjo; Haruki Nakamura
Journal:  PLoS One       Date:  2008-04-09       Impact factor: 3.240

8.  Amino acid properties conserved in molecular evolution.

Authors:  Witold R Rudnicki; Teresa Mroczek; Paweł Cudek
Journal:  PLoS One       Date:  2014-06-26       Impact factor: 3.240

  8 in total

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