Literature DB >> 12527777

Finding weak similarities between proteins by sequence profile comparison.

Anna R Panchenko1.   

Abstract

To improve the recognition of weak similarities between proteins a method of aligning two sequence profiles is proposed. It is shown that exploring the sequence space in the vicinity of the sequence with unknown properties significantly improves the performance of sequence alignment methods. Consistent with the previous observations the recognition sensitivity and alignment accuracy obtained by a profile-profile alignment method can be as much as 30% higher compared to the sequence-profile alignment method. It is demonstrated that the choice of score function and the diversity of the test profile are very important factors for achieving the maximum performance of the method, whereas the optimum range of these parameters depends on the level of similarity to be recognized.

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Year:  2003        PMID: 12527777      PMCID: PMC140518          DOI: 10.1093/nar/gkg154

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  44 in total

1.  Increased coverage of protein families with the blocks database servers.

Authors:  J G Henikoff; E A Greene; S Pietrokovski; S Henikoff
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Combination of threading potentials and sequence profiles improves fold recognition.

Authors:  A R Panchenko; A Marchler-Bauer; S H Bryant
Journal:  J Mol Biol       Date:  2000-03-10       Impact factor: 5.469

3.  Comparison of sequence profiles. Strategies for structural predictions using sequence information.

Authors:  L Rychlewski; L Jaroszewski; W Li; A Godzik
Journal:  Protein Sci       Date:  2000-02       Impact factor: 6.725

4.  Metrics and similarity measures for hidden Markov models.

Authors:  R B Lyngsø; C N Pedersen; H Nielsen
Journal:  Proc Int Conf Intell Syst Mol Biol       Date:  1999

5.  A comparison of position-specific score matrices based on sequence and structure alignments.

Authors:  Anna R Panchenko; Stephen H Bryant
Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

Review 6.  Improving the accuracy of PSI-BLAST protein database searches with composition-based statistics and other refinements.

Authors:  A A Schäffer; L Aravind; T L Madden; S Shavirin; J L Spouge; Y I Wolf; E V Koonin; S F Altschul
Journal:  Nucleic Acids Res       Date:  2001-07-15       Impact factor: 16.971

Review 7.  Fold predictions for bacterial genomes.

Authors:  K Pawlowski; L Rychlewski; B Zhang; A Godzik
Journal:  J Struct Biol       Date:  2001 May-Jun       Impact factor: 2.867

8.  CDD: a database of conserved domain alignments with links to domain three-dimensional structure.

Authors:  Aron Marchler-Bauer; Anna R Panchenko; Benjamin A Shoemaker; Paul A Thiessen; Lewis Y Geer; Stephen H Bryant
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

9.  Within the twilight zone: a sensitive profile-profile comparison tool based on information theory.

Authors:  Golan Yona; Michael Levitt
Journal:  J Mol Biol       Date:  2002-02-01       Impact factor: 5.469

10.  Use of receiver operating characteristic (ROC) analysis to evaluate sequence matching.

Authors:  M Gribskov; N L Robinson
Journal:  Comput Chem       Date:  1996-03
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  28 in total

1.  ORFeus: Detection of distant homology using sequence profiles and predicted secondary structure.

Authors:  Krzysztof Ginalski; Jakub Pas; Lucjan S Wyrwicz; Marcin von Grotthuss; Janusz M Bujnicki; Leszek Rychlewski
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

2.  Scoring profile-to-profile sequence alignments.

Authors:  Guoli Wang; Roland L Dunbrack
Journal:  Protein Sci       Date:  2004-06       Impact factor: 6.725

3.  Frequency of gaps observed in a structurally aligned protein pair database suggests a simple gap penalty function.

Authors:  Nalin C W Goonesekere; Byungkook Lee
Journal:  Nucleic Acids Res       Date:  2004-05-20       Impact factor: 16.971

4.  Detecting distant homology with Meta-BASIC.

Authors:  Krzysztof Ginalski; Marcin von Grotthuss; Nick V Grishin; Leszek Rychlewski
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

5.  Alignment of protein sequences by their profiles.

Authors:  Marc A Marti-Renom; M S Madhusudhan; Andrej Sali
Journal:  Protein Sci       Date:  2004-04       Impact factor: 6.725

6.  An assessment of substitution scores for protein profile-profile comparison.

Authors:  Xugang Ye; Guoli Wang; Stephen F Altschul
Journal:  Bioinformatics       Date:  2011-10-13       Impact factor: 6.937

7.  Modeling backbone flexibility to achieve sequence diversity: the design of novel alpha-helical ligands for Bcl-xL.

Authors:  Xiaoran Fu; James R Apgar; Amy E Keating
Journal:  J Mol Biol       Date:  2007-05-05       Impact factor: 5.469

8.  FFAS-3D: improving fold recognition by including optimized structural features and template re-ranking.

Authors:  Dong Xu; Lukasz Jaroszewski; Zhanwen Li; Adam Godzik
Journal:  Bioinformatics       Date:  2013-10-15       Impact factor: 6.937

9.  Comparative protein structure modeling using Modeller.

Authors:  Ben Webb; Andrej Sali; Narayanan Eswar; Marc A Marti-Renom; M S Madhusudhan; David Eramian; Min-Yi Shen; Ursula Pieper
Journal:  Curr Protoc Bioinformatics       Date:  2006-10

10.  Internal organization of large protein families: relationship between the sequence, structure, and function-based clustering.

Authors:  Xiao-Hui Cai; Lukasz Jaroszewski; John Wooley; Adam Godzik
Journal:  Proteins       Date:  2011-05-31
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