Literature DB >> 18485694

Multiple protein sequence alignment.

Jimin Pei1.   

Abstract

Multiple sequence alignments are essential in computational analysis of protein sequences and structures, with applications in structure modeling, functional site prediction, phylogenetic analysis and sequence database searching. Constructing accurate multiple alignments for divergent protein sequences remains a difficult computational task, and alignment speed becomes an issue for large sequence datasets. Here, I review methodologies and recent advances in the multiple protein sequence alignment field, with emphasis on the use of additional sequence and structural information to improve alignment quality.

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Year:  2008        PMID: 18485694     DOI: 10.1016/j.sbi.2008.03.007

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  20 in total

Review 1.  A classification of bioinformatics algorithms from the viewpoint of maximizing expected accuracy (MEA).

Authors:  Michiaki Hamada; Kiyoshi Asai
Journal:  J Comput Biol       Date:  2012-02-07       Impact factor: 1.479

2.  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

Review 3.  Emerging roles of aquaporins in relation to the physiology of blood-feeding arthropods.

Authors:  Joshua B Benoit; Immo A Hansen; Elise M Szuter; Lisa L Drake; Denielle L Burnett; Geoffrey M Attardo
Journal:  J Comp Physiol B       Date:  2014-06-19       Impact factor: 2.200

Review 4.  Beyond directed evolution--semi-rational protein engineering and design.

Authors:  Stefan Lutz
Journal:  Curr Opin Biotechnol       Date:  2010-09-24       Impact factor: 9.740

5.  Comprehensive comparison of graph based multiple protein sequence alignment strategies.

Authors:  Ilya Plyusnin; Liisa Holm
Journal:  BMC Bioinformatics       Date:  2012-04-29       Impact factor: 3.169

6.  PicXAA: greedy probabilistic construction of maximum expected accuracy alignment of multiple sequences.

Authors:  Sayed Mohammad Ebrahim Sahraeian; Byung-Jun Yoon
Journal:  Nucleic Acids Res       Date:  2010-04-22       Impact factor: 16.971

7.  Peptide aptamer identified by molecular docking targeting translationally controlled tumor protein in leukemia cells.

Authors:  Onat Kadioglu; Thomas Efferth
Journal:  Invest New Drugs       Date:  2016-03-14       Impact factor: 3.850

8.  Amino acid positions subject to multiple coevolutionary constraints can be robustly identified by their eigenvector network centrality scores.

Authors:  Daniel J Parente; J Christian J Ray; Liskin Swint-Kruse
Journal:  Proteins       Date:  2015-11-17

Review 9.  Upcoming challenges for multiple sequence alignment methods in the high-throughput era.

Authors:  Carsten Kemena; Cedric Notredame
Journal:  Bioinformatics       Date:  2009-07-30       Impact factor: 6.937

10.  Predicting the accuracy of multiple sequence alignment algorithms by using computational intelligent techniques.

Authors:  Francisco M Ortuño; Olga Valenzuela; Hector Pomares; Fernando Rojas; Javier P Florido; Jose M Urquiza; Ignacio Rojas
Journal:  Nucleic Acids Res       Date:  2012-10-11       Impact factor: 16.971

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