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Pcons.net: Protein structure prediction meta server
Department of Biochemistry, University of Washington.
Department of Biochemistry, University of Washington.
Department of Biochemistry, University of Washington.
2007 (English)In: Nucleic Acids Research, ISSN 0305-1048, E-ISSN 1362-4962, Vol. 35, no Web Server issue, 369-374 p.Article in journal (Refereed) Published
Abstract [en]

The Pcons.net Meta Server (http://pcons.net) provides improved automated tools for protein structure prediction and analysis using consensus. It essentially implements all the steps necessary to produce a high quality model of a protein. The whole process is fully automated and a potential user only submits the protein sequence. For PSI-BLAST detectable targets, an accurate model is generated within minutes of submission. For more difficult targets the sequence is automatically submitted to publicly available fold-recognition servers that use more advanced approaches to find distant structural homologs. The results from these servers are analyzed and assessed for structural correctness using Pcons and ProQ; and the user is presented with a ranked list of possible models. In addition, if the protein sequence contains more than one domain, these are automatically parsed out and resubmitted to the server as individual queries.

Place, publisher, year, edition, pages
2007. Vol. 35, no Web Server issue, 369-374 p.
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:kth:diva-77463DOI: 10.1093/nar/gkm319ISI: 000255311500070OAI: oai:DiVA.org:kth-77463DiVA: diva2:491647
Note
QC 20120301Available from: 2012-02-07 Created: 2012-02-07 Last updated: 2017-12-08Bibliographically approved

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