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    政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 >  Item 140.119/86641
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/86641


    Title: Accurate multiple sequence alignment of transmembrane proteins with PSI-Coffee
    Authors: Chang, Jia-Ming
    張家銘
    Notredame, Cedric
    Taly, Jean-François
    Tommaso, Paolo Di
    Contributors: 資科系
    Date: 2012
    Issue Date: 2016-04-27 15:30:28 (UTC+8)
    Abstract: Background: Transmembrane proteins (TMPs) constitute about 20~30% of all protein coding genes. The relative lack of experimental structure has so far made it hard to develop specific alignment methods and the current state of the art (PRALINE™) only manages to recapitulate 50% of the positions in the reference alignments available from the BAliBASE2-ref7. Methods: We show how homology extension can be adapted and combined with a consistency based approach in order to significantly improve the multiple sequence alignment of alpha-helical TMPs. TM-Coffee is a special mode of PSI-Coffee able to efficiently align TMPs, while using a reduced reference database for homology extension. Results: Our benchmarking on BAliBASE2-ref7 alpha-helical TMPs shows a significant improvement over the most accurate methods such as MSAProbs, Kalign, PROMALS, MAFFT, ProbCons and PRALINE™. We also estimated the influence of the database used for homology extension and show that highly non-redundant UniRef databases can be used to obtain similar results at a significantly reduced computational cost over full protein databases. TMCoffee is part of the T-Coffee package, a web server is also available from http://tcoffee.crg.cat/tmcoffee and a freeware open source code can be downloaded from http://www.tcoffee.org/Packages/Stable/Latest.
    Relation: BMC Bioinformatics, 13, Suppl4, S1, 1-7
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1186/1471-2105-13-S4-S1
    DOI: 10.1186/1471-2105-13-S4-S1
    Appears in Collections:[資訊科學系] 期刊論文

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