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PSI/TM-Coffee: a web server for fast and accurate multiple sequence alignments of regular and transmembrane proteins using homology extension on reduced databases.
Floden, Evan W; Tommaso, Paolo D; Chatzou, Maria; Magis, Cedrik; Notredame, Cedric; Chang, Jia-Ming.
Afiliação
  • Floden EW; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr Aiguader 88, Barcelona 08003, Spain Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain.
  • Tommaso PD; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr Aiguader 88, Barcelona 08003, Spain Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain.
  • Chatzou M; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr Aiguader 88, Barcelona 08003, Spain Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain.
  • Magis C; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr Aiguader 88, Barcelona 08003, Spain Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain.
  • Notredame C; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr Aiguader 88, Barcelona 08003, Spain Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain.
  • Chang JM; Department of Computer Science, National Chengchi University, Taipei 11605, Taiwan chang.jiaming@gmail.com.
Nucleic Acids Res ; 44(W1): W339-43, 2016 07 08.
Article em En | MEDLINE | ID: mdl-27106060
The PSI/TM-Coffee web server performs multiple sequence alignment (MSA) of proteins by combining homology extension with a consistency based alignment approach. Homology extension is performed with Position Specific Iterative (PSI) BLAST searches against a choice of redundant and non-redundant databases. The main novelty of this server is to allow databases of reduced complexity to rapidly perform homology extension. This server also gives the possibility to use transmembrane proteins (TMPs) reference databases to allow even faster homology extension on this important category of proteins. Aside from an MSA, the server also outputs topological prediction of TMPs using the HMMTOP algorithm. Previous benchmarking of the method has shown this approach outperforms the most accurate alignment methods such as MSAProbs, Kalign, PROMALS, MAFFT, ProbCons and PRALINE™. The web server is available at http://tcoffee.crg.cat/tmcoffee.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Interface Usuário-Computador / Análise de Sequência de Proteína / Proteínas de Membrana Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Interface Usuário-Computador / Análise de Sequência de Proteína / Proteínas de Membrana Idioma: En Ano de publicação: 2016 Tipo de documento: Article