Literature DB >> 10966777

An integrated approach to the analysis and modeling of protein sequences and structures. II. On the relationship between sequence and structural similarity for proteins that are not obviously related in sequence.

A S Yang1, B Honig.   

Abstract

Here, we discuss the relationship between protein sequence and protein structural similarity. It is established that a protein structural distance (PSD) of 2.0 is a threshold above which two proteins are unlikely to have a detectable pairwise sequence relationship. A precise correlation is established between the level of sequence similarity, defined by a normalized Smith-Waterman score, and the probability that two proteins will have a similar structure (defined by pairwise PSD<2). This correlation can be used in evaluating the likelihood for success in a comparative modeling procedure. We establish the existence of a correlation between sequence and structural similarity for pairs of proteins that are related in structure but whose sequence relationship is not detectable using standard pairwise sequence alignments. Although it is well known that there is a close relationship between sequence and structural similarity for pairwise sequence identities greater than about 30 %, there has been little discussion as to the possible existence of such a relationship for pairs of proteins in or below the twilight zone of sequence similarity (<25 % pairwise sequence identity). Possible implications of our results for the evolution of protein structure are discussed. Copyright 2000 Academic Press.

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Year:  2000        PMID: 10966777     DOI: 10.1006/jmbi.2000.3974

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  18 in total

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Authors:  Antonio Pineda-Lucena; Jack C C Liao; John R Cort; Adelinda Yee; Michael A Kennedy; Aled M Edwards; Cheryl H Arrowsmith
Journal:  Protein Sci       Date:  2003-05       Impact factor: 6.725

2.  FoldMiner: structural motif discovery using an improved superposition algorithm.

Authors:  Jessica Shapiro; Douglas Brutlag
Journal:  Protein Sci       Date:  2004-01       Impact factor: 6.725

3.  Sequence conserved for subcellular localization.

Authors:  Rajesh Nair; Burkhard Rost
Journal:  Protein Sci       Date:  2002-12       Impact factor: 6.725

4.  UniqueProt: Creating representative protein sequence sets.

Authors:  Sven Mika; Burkhard Rost
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

Review 5.  Structural genomics: computational methods for structure analysis.

Authors:  Sharon Goldsmith-Fischman; Barry Honig
Journal:  Protein Sci       Date:  2003-09       Impact factor: 6.725

6.  CHOP: parsing proteins into structural domains.

Authors:  Jinfeng Liu; Burkhard Rost
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

7.  Sequence-based prediction of protein domains.

Authors:  Jinfeng Liu; Burkhard Rost
Journal:  Nucleic Acids Res       Date:  2004-07-07       Impact factor: 16.971

8.  LEON: multiple aLignment Evaluation Of Neighbours.

Authors:  Julie D Thompson; Véronique Prigent; Olivier Poch
Journal:  Nucleic Acids Res       Date:  2004-02-24       Impact factor: 16.971

9.  Evolutionary plasticity of protein families: coupling between sequence and structure variation.

Authors:  Anna R Panchenko; Yuri I Wolf; Larisa A Panchenko; Thomas Madej
Journal:  Proteins       Date:  2005-11-15

10.  Evolutionary constraints on structural similarity in orthologs and paralogs.

Authors:  Mark E Peterson; Feng Chen; Jeffery G Saven; David S Roos; Patricia C Babbitt; Andrej Sali
Journal:  Protein Sci       Date:  2009-06       Impact factor: 6.725

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