Abstract
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. © 2007 The Author(s).
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CITATION STYLE
Wallner, B., Larsson, P., & Elofsson, A. (2007). Pcons.net: Protein structure prediction meta server. Nucleic Acids Research, 35(SUPPL.2). https://doi.org/10.1093/nar/gkm319
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