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Improved predictions by Pcons.net using multiple templates

Summary: Multiple templates can often be used to build more accurate homology models than models built from a single template. Here we introduce PconsM, an automated protocol that uses multiple templates to build protein models. PconsM has been among the top-performing methods in the recent CASP exp...

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Detalles Bibliográficos
Autores principales: Larsson, Per, Skwark, Marcin J., Wallner, Björn, Elofsson, Arne
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3031036/
https://www.ncbi.nlm.nih.gov/pubmed/21149277
http://dx.doi.org/10.1093/bioinformatics/btq664
Descripción
Sumario:Summary: Multiple templates can often be used to build more accurate homology models than models built from a single template. Here we introduce PconsM, an automated protocol that uses multiple templates to build protein models. PconsM has been among the top-performing methods in the recent CASP experiments and consistently perform better than the single template models used in Pcons.net. In particular for the easier targets with many alternative templates with a high degree of sequence identity, quality is readily improved with a few percentages over the highest ranked model built on a single template. PconsM is available as an additional pipeline within the Pcons.net protein structure prediction server. Availability and implementation: PconsM is freely available from http://pcons.net/. Contact: arne@bioinfo.se