Literature DB >> 12826723

Reduction of protein sequence complexity by residue grouping.

Tanping Li1, Ke Fan, Jun Wang, Wei Wang.   

Abstract

It is well known that there are some similarities among various naturally occurring amino acids. Thus, the complexity in protein systems could be reduced by sorting these amino acids with similarities into groups and then protein sequences can be simplified by reduced alphabets. This paper discusses how to group similar amino acids and whether there is a minimal amino acid alphabet by which proteins can be folded. Various reduced alphabets are obtained by reserving the maximal information for the simplified protein sequence compared with the parent sequence using global sequence alignment. With these reduced alphabets and simplified similarity matrices, we achieve recognition of the protein fold based on the similarity score of the sequence alignment. The coverage in dataset SCOP40 for various levels of reduction on the amino acid types is obtained, which is the number of homologous pairs detected by program BLAST to the number marked by SCOP40. For the reduced alphabets containing 10 types of amino acids, the ability to detect distantly related folds remains almost at the same level as that by the alphabet of 20 types of amino acids, which implies that 10 types of amino acids may be the degree of freedom for characterizing the complexity in proteins.

Mesh:

Year:  2003        PMID: 12826723     DOI: 10.1093/protein/gzg044

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  32 in total

1.  Local homology recognition and distance measures in linear time using compressed amino acid alphabets.

Authors:  Robert C Edgar
Journal:  Nucleic Acids Res       Date:  2004-01-16       Impact factor: 16.971

2.  A method for computing the inter-residue interaction potentials for reduced amino acid alphabet.

Authors:  Abhinav Luthra; Anupam Nath Jha; G K Ananthasuresh; Saraswathi Vishveswara
Journal:  J Biosci       Date:  2007-08       Impact factor: 1.826

3.  Reduced amino acid alphabets exhibit an improved sensitivity and selectivity in fold assignment.

Authors:  Eric L Peterson; Jané Kondev; Julie A Theriot; Rob Phillips
Journal:  Bioinformatics       Date:  2009-04-07       Impact factor: 6.937

4.  Funneling and frustration in the energy landscapes of some designed and simplified proteins.

Authors:  Ha H Truong; Bobby L Kim; Nicholas P Schafer; Peter G Wolynes
Journal:  J Chem Phys       Date:  2013-09-28       Impact factor: 3.488

5.  Evolutionary mix-and-match with MFS transporters II.

Authors:  M Gregor Madej; H Ronald Kaback
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-20       Impact factor: 11.205

6.  Assessing side-chain perturbations of the protein backbone: a knowledge-based classification of residue Ramachandran space.

Authors:  David B Dahl; Zach Bohannan; Qianxing Mo; Marina Vannucci; Jerry Tsai
Journal:  J Mol Biol       Date:  2008-02-29       Impact factor: 5.469

7.  A reduced amino acid alphabet for understanding and designing protein adaptation to mutation.

Authors:  C Etchebest; C Benros; A Bornot; A-C Camproux; A G de Brevern
Journal:  Eur Biophys J       Date:  2007-06-13       Impact factor: 1.733

8.  Optimal neighborhood indexing for protein similarity search.

Authors:  Pierre Peterlongo; Laurent Noé; Dominique Lavenier; Van Hoa Nguyen; Gregory Kucherov; Mathieu Giraud
Journal:  BMC Bioinformatics       Date:  2008-12-16       Impact factor: 3.169

9.  Clustering of protein families into functional subtypes using Relative Complexity Measure with reduced amino acid alphabets.

Authors:  Aydin Albayrak; Hasan H Otu; Ugur O Sezerman
Journal:  BMC Bioinformatics       Date:  2010-08-18       Impact factor: 3.169

10.  HMM_RA: an improved method for alpha-helical transmembrane protein topology prediction.

Authors:  Jing Hu; Changhui Yan
Journal:  Bioinform Biol Insights       Date:  2008-01-31
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