Literature DB >> 18592193

Protein multiple sequence alignment.

Chuong B Do1, Kazutaka Katoh.   

Abstract

Protein sequence alignment is the task of identifying evolutionarily or structurally related positions in a collection of amino acid sequences. Although the protein alignment problem has been studied for several decades, many recent studies have demonstrated considerable progress in improving the accuracy or scalability of multiple and pairwise alignment tools, or in expanding the scope of tasks handled by an alignment program. In this chapter, we review state-of-the-art protein sequence alignment and provide practical advice for users of alignment tools.

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Year:  2008        PMID: 18592193     DOI: 10.1007/978-1-59745-398-1_25

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  12 in total

1.  PROMALS3D: multiple protein sequence alignment enhanced with evolutionary and three-dimensional structural information.

Authors:  Jimin Pei; Nick V Grishin
Journal:  Methods Mol Biol       Date:  2014

2.  Multiple Sequence Alignment Averaging Improves Phylogeny Reconstruction.

Authors:  Haim Ashkenazy; Itamar Sela; Eli Levy Karin; Giddy Landan; Tal Pupko
Journal:  Syst Biol       Date:  2019-01-01       Impact factor: 15.683

3.  Bacterial protein structures reveal phylum dependent divergence.

Authors:  Matthew D Shortridge; Thomas Triplet; Peter Revesz; Mark A Griep; Robert Powers
Journal:  Comput Biol Chem       Date:  2011-01-18       Impact factor: 2.877

Review 4.  Applications of sequence coevolution in membrane protein biochemistry.

Authors:  John M Nicoludis; Rachelle Gaudet
Journal:  Biochim Biophys Acta Biomembr       Date:  2017-10-07       Impact factor: 3.747

5.  AlignHUSH: alignment of HMMs using structure and hydrophobicity information.

Authors:  Oruganty Krishnadev; Narayanaswamy Srinivasan
Journal:  BMC Bioinformatics       Date:  2011-07-05       Impact factor: 3.169

6.  Genes for the major structural components of Thermotogales species' togas revealed by proteomic and evolutionary analyses of OmpA and OmpB homologs.

Authors:  Amanda K Petrus; Kristen S Swithers; Chaman Ranjit; Si Wu; Heather M Brewer; J Peter Gogarten; Ljiljana Pasa-Tolic; Kenneth M Noll
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

7.  GUIDANCE2: accurate detection of unreliable alignment regions accounting for the uncertainty of multiple parameters.

Authors:  Itamar Sela; Haim Ashkenazy; Kazutaka Katoh; Tal Pupko
Journal:  Nucleic Acids Res       Date:  2015-04-16       Impact factor: 16.971

8.  Protein sectors: statistical coupling analysis versus conservation.

Authors:  Tiberiu Teşileanu; Lucy J Colwell; Stanislas Leibler
Journal:  PLoS Comput Biol       Date:  2015-02-27       Impact factor: 4.475

9.  ReformAlign: improved multiple sequence alignments using a profile-based meta-alignment approach.

Authors:  Dimitrios P Lyras; Dirk Metzler
Journal:  BMC Bioinformatics       Date:  2014-08-07       Impact factor: 3.169

10.  MSAIndelFR: a scheme for multiple protein sequence alignment using information on indel flanking regions.

Authors:  Mufleh Al-Shatnawi; M Omair Ahmad; M N S Swamy
Journal:  BMC Bioinformatics       Date:  2015-11-23       Impact factor: 3.169

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