Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1093/nar/gkm319 | NUCLEIC ACIDS RESEARCH |
Keywords | Field | DocType |
protein structure prediction,algorithms,protein sequence,computational biology,natural sciences,secondary protein structure,automation,proteins,molecular models,protein folding,fold recognition,amino acid sequence | Data mining,Protein structure prediction,Biology,Ranking,Protein sequencing,Correctness,Server,Automation,Software,Parsing,Bioinformatics,Genetics | Journal |
Volume | Issue | ISSN |
35 | Web Server issue | 0305-1048 |
Citations | PageRank | References |
13 | 1.51 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Björn Wallner | 1 | 93 | 9.07 |
| Per Larsson | 2 | 13 | 1.51 |
| Arne Elofsson | 3 | 633 | 56.98 |