Servers for protein structure prediction

Current Opinion in Structural Biology

Volumn 16, Issue 2, 2006, Pages 178-182

  Fischer, Daniel ^a,b  

^a UNIVERSITY AT BUFFALO   (United States)

^b BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

AB INITIO CALCULATION; AUTOMATION; EVALUATION; GENE SEQUENCE; HUMAN; PREDICTION; PRIORITY JOURNAL; PROTEIN STRUCTURE; REVIEW; STRUCTURAL GENOMICS; STRUCTURAL HOMOLOGY;

COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; INTERNET; PROTEIN CONFORMATION; SOFTWARE;

EID: 33645972948     PISSN: 0959440X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sbi.2006.03.004     Document Type: Review

References (44)

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5. Fischer D., Rychlewski L., Dunbrack Jr. R.L., Ortiz A.R., and Elofsson A. CAFASP3: the third critical assessment of fully automated structure prediction methods. Proteins 53 suppl 6 (2003) 503-516
6. Fischer D, Rychlewski L: CAFASP4. Available on the World Wide Web at: http://fischerlab.cse.buffalo.edu/CAFASP/. An extensive web site describing the latest CAFASP experiment. Over 90 servers and meta-servers participated in the various categories: structure prediction, domain prediction (CAFASP-DP) and quality assessment programs (CAFASP-MQAP). The site includes all data and programs, and an interactive evaluation facility that allows the user to analyze subsets of the data using different evaluation methods. The structure prediction section of CAFASP corroborated the findings of previous experiments - meta-servers are the best performers, already outperforming all but a handful of expert human predictors.
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30. ••].
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