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Improved predictions by Pcons.net using multiple templates
Stockholm University.
Stockholms universitet.
Linköpings universitet.
Stockholms universitet.
2011 (English)In: Bioinformatics, ISSN 1367-4803, E-ISSN 1367-4811, Vol. 27, no 3, 426-427 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2011. Vol. 27, no 3, 426-427 p.
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:kth:diva-77465DOI: 10.1093/bioinformatics/btq664ISI: 000286991300021OAI: oai:DiVA.org:kth-77465DiVA: diva2:491649
Funder
Swedish e‐Science Research Center
Note
QC 20120219Available from: 2012-02-07 Created: 2012-02-07 Last updated: 2017-12-08Bibliographically approved

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