Literature DB >> 8790476

On near-optimal alignments of biological sequences.

D Naor1, D L Brutlag.   

Abstract

A near-optimal alignment between a pair of sequences is an alignment whose score lies within the neighborhood of the optimal score. We present an efficient method for representing all alignments whose score is within any given delta from the optimal score. The representation is a compact graph that makes it easy to impose additional biological constraints and select one desirable alignment from the large set of alignments. We study the combinatorial nature of near-optimal alignments, and define a set of "canonical" near-optimal alignments. We then show how to enumerate near-optimal alignments efficiently in order of their score, and count their number. When applied to comparisons of two distantly related proteins, near-optimal alignments reveal that the most conserved regions among the near-optimal alignments are the highly structured regions in the proteins. We also show that by counting the number of near optimal alignments as a function of the distance from the optimal score, we can select a good set of parameters that best constraints the biologically relevant alignments.

Mesh:

Substances:

Year:  1994        PMID: 8790476     DOI: 10.1089/cmb.1994.1.349

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  5 in total

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Journal:  Protein Sci       Date:  2002-07       Impact factor: 6.725

2.  Visualization of near-optimal sequence alignments.

Authors:  Michael E Smoot; Stephanie A Guerlain; William R Pearson
Journal:  Bioinformatics       Date:  2004-01-29       Impact factor: 6.937

3.  Optimization algorithms for functional deimmunization of therapeutic proteins.

Authors:  Andrew S Parker; Wei Zheng; Karl E Griswold; Chris Bailey-Kellogg
Journal:  BMC Bioinformatics       Date:  2010-04-09       Impact factor: 3.169

4.  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

5.  Measuring global credibility with application to local sequence alignment.

Authors:  Bobbie-Jo M Webb-Robertson; Lee Ann McCue; Charles E Lawrence
Journal:  PLoS Comput Biol       Date:  2008-05-16       Impact factor: 4.475

  5 in total

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