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題名 Accurate multiple sequence alignment of transmembrane proteins with PSI-Coffee
作者 張家銘
Chang, Jia-Ming
Notredame, Cedric
Taly, Jean-François
Tommaso, Paolo Di
貢獻者 資科系
日期 2012-03
上傳時間 30-May-2016 17:23:31 (UTC+8)
摘要 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. TM-Coffee 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.
關聯 BMC Bioinformatics, Vol.13, No.Suppl 4, pp.S1
資料類型 article
DOI http://dx.doi.org/10.1186/1471-2105-13-S4-S1
dc.contributor 資科系-
dc.creator (作者) 張家銘zh_TW
dc.creator (作者) Chang, Jia-Ming-
dc.creator (作者) Notredame, Cedricen_US
dc.creator (作者) Taly, Jean-Françoisen_US
dc.creator (作者) Tommaso, Paolo Dien_US
dc.date (日期) 2012-03-
dc.date.accessioned 30-May-2016 17:23:31 (UTC+8)-
dc.date.available 30-May-2016 17:23:31 (UTC+8)-
dc.date.issued (上傳時間) 30-May-2016 17:23:31 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/97009-
dc.description.abstract (摘要) 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. TM-Coffee 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.-
dc.format.extent 838056 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) BMC Bioinformatics, Vol.13, No.Suppl 4, pp.S1-
dc.title (題名) Accurate multiple sequence alignment of transmembrane proteins with PSI-Coffee-
dc.type (資料類型) article-
dc.identifier.doi (DOI) 10.1186/1471-2105-13-S4-S1-
dc.doi.uri (DOI) http://dx.doi.org/10.1186/1471-2105-13-S4-S1-