Literature DB >> 16873492

The iRMSD: a local measure of sequence alignment accuracy using structural information.

Fabrice Armougom1, Sébastien Moretti, Vladimir Keduas, Cedric Notredame.   

Abstract

MOTIVATION: We introduce the iRMSD, a new type of RMSD, independent from any structure superposition and suitable for evaluating sequence alignments of proteins with known structures.
RESULTS: We demonstrate that the iRMSD is equivalent to the standard RMSD although much simpler to compute and we also show that it is suitable for comparing sequence alignments and benchmarking multiple sequence alignment methods. We tested the iRMSD score on 6 established multiple sequence alignment packages and found the results to be consistent with those obtained using an established reference alignment collection like Prefab. AVAILABILITY: The iRMSD is part of the T-Coffee package and is distributed as an open source freeware (http://www.tcoffee.org/).

Mesh:

Year:  2006        PMID: 16873492     DOI: 10.1093/bioinformatics/btl218

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  13 in total

1.  Identifying functionally informative evolutionary sequence profiles.

Authors:  Nelson Gil; Andras Fiser
Journal:  Bioinformatics       Date:  2018-04-15       Impact factor: 6.937

2.  MAFFT-DASH: integrated protein sequence and structural alignment.

Authors:  John Rozewicki; Songling Li; Karlou Mar Amada; Daron M Standley; Kazutaka Katoh
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

3.  Protein evolution by molecular tinkering: diversification of the nuclear receptor superfamily from a ligand-dependent ancestor.

Authors:  Jamie T Bridgham; Geeta N Eick; Claire Larroux; Kirti Deshpande; Michael J Harms; Marie E A Gauthier; Eric A Ortlund; Bernard M Degnan; Joseph W Thornton
Journal:  PLoS Biol       Date:  2010-10-05       Impact factor: 8.029

4.  Use of pyrosequencing and DNA barcodes to monitor variations in Firmicutes and Bacteroidetes communities in the gut microbiota of obese humans.

Authors:  Fabrice Armougom; Didier Raoult
Journal:  BMC Genomics       Date:  2008-12-01       Impact factor: 3.969

5.  MergeAlign: improving multiple sequence alignment performance by dynamic reconstruction of consensus multiple sequence alignments.

Authors:  Peter W Collingridge; Steven Kelly
Journal:  BMC Bioinformatics       Date:  2012-05-30       Impact factor: 3.169

6.  T-Coffee: a web server for the multiple sequence alignment of protein and RNA sequences using structural information and homology extension.

Authors:  Paolo Di Tommaso; Sebastien Moretti; Ioannis Xenarios; Miquel Orobitg; Alberto Montanyola; Jia-Ming Chang; Jean-François Taly; Cedric Notredame
Journal:  Nucleic Acids Res       Date:  2011-05-09       Impact factor: 16.971

7.  Improving the alignment quality of consistency based aligners with an evaluation function using synonymous protein words.

Authors:  Hsin-Nan Lin; Cédric Notredame; Jia-Ming Chang; Ting-Yi Sung; Wen-Lian Hsu
Journal:  PLoS One       Date:  2011-12-02       Impact factor: 3.240

Review 8.  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

9.  Quality measures for protein alignment benchmarks.

Authors:  Robert C Edgar
Journal:  Nucleic Acids Res       Date:  2010-01-04       Impact factor: 16.971

10.  MICAN: a protein structure alignment algorithm that can handle Multiple-chains, Inverse alignments, C(α) only models, Alternative alignments, and Non-sequential alignments.

Authors:  Shintaro Minami; Kengo Sawada; George Chikenji
Journal:  BMC Bioinformatics       Date:  2013-01-18       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.