Pcons.net: protein structure prediction meta server.
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.
Wallner
Björn
B
Department of Biochemistry, University of Washington, Box 357350, Seattle, WA 98195, USA. bjornwa@u.washington.edu
Larsson
Per
P
Elofsson
Arne
A
D000465:Algorithms; D000595:Amino Acid Sequence; D001331:Automation; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D001330:Electronic Data Processing; D008958:Models, Molecular; D015233:Models, Statistical; D016571:Neural Networks, Computer; D017510:Protein Folding; D017433:Protein Structure, Secondary; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000737:chemistry* / Q000235:genetics; D012680:Sensitivity and Specificity; D012984:Software
D011506:Proteins