Literature DB >> 1905360

A simple method to generate non-trivial alternate alignments of protein sequences.

M A Saqi1, M J Sternberg.   

Abstract

A major problem in sequence alignments based on the standard dynamic programming method is that the optimal path does not necessarily yield the best equivalencing of residues assessed by structural or functional criteria. An algorithm is presented that finds suboptimal alignments of protein sequences by a simple modification to the standard dynamic programming method. The standard pairwise weight matrix elements are modified in order to penalize, but not eliminate, the equivalencing of residues obtained from previous alignments. The algorithm thereby yields a limited set of alternate alignments that can differ considerably from the optimal. The approach is benchmarked on the alignments of immunoglobulin domains. Without a prior knowledge of the optimal choice of gap penalty, one of the suboptimal alignments is shown to be more accurate than the optimal.

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Year:  1991        PMID: 1905360     DOI: 10.1016/0022-2836(91)90667-u

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


  8 in total

1.  In search for more accurate alignments in the twilight zone.

Authors:  Lukasz Jaroszewski; Weizhong Li; Adam Godzik
Journal:  Protein Sci       Date:  2002-07       Impact factor: 6.725

2.  The structural alignment between two proteins: is there a unique answer?

Authors:  A Godzik
Journal:  Protein Sci       Date:  1996-07       Impact factor: 6.725

3.  Effect of using suboptimal alignments in template-based protein structure prediction.

Authors:  Hao Chen; Daisuke Kihara
Journal:  Proteins       Date:  2011-01

4.  Protein sequence randomness and sequence/structure correlations.

Authors:  R S Rahman; S Rackovsky
Journal:  Biophys J       Date:  1995-04       Impact factor: 4.033

5.  CHOYCE: a web server for constrained homology modelling with cryoEM maps.

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Journal:  Bioinformatics       Date:  2010-05-05       Impact factor: 6.937

6.  Improving pairwise sequence alignment accuracy using near-optimal protein sequence alignments.

Authors:  Michael L Sierk; Michael E Smoot; Ellen J Bass; William R Pearson
Journal:  BMC Bioinformatics       Date:  2010-03-22       Impact factor: 3.169

7.  Using structure to explore the sequence alignment space of remote homologs.

Authors:  Andrew Kuziemko; Barry Honig; Donald Petrey
Journal:  PLoS Comput Biol       Date:  2011-10-06       Impact factor: 4.475

8.  Homology modeling using parametric alignment ensemble generation with consensus and energy-based model selection.

Authors:  Dylan Chivian; David Baker
Journal:  Nucleic Acids Res       Date:  2006-09-13       Impact factor: 16.971

  8 in total

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