Bioinformatics. 2001 Dec;17(12):1242-3.

EVA: continuous automatic evaluation of protein structure prediction servers.

Eyrich VA, Martí-Renom MA, Przybylski D, Madhusudhan MS, Fiser A, Pazos F, Valencia A, Sali A, Rost B.

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Department of Chemistry, Columbia University, 3000 Broadway MC 3136, New York, NY 10027, USA. eva@cubic.bioc.columbia.edu

Abstract

Evaluation of protein structure prediction methods is difficult and time-consuming. Here, we describe EVA, a web server for assessing protein structure prediction methods, in an automated, continuous and large-scale fashion. Currently, EVA evaluates the performance of a variety of prediction methods available through the internet. Every week, the sequences of the latest experimentally determined protein structures are sent to prediction servers, results are collected, performance is evaluated, and a summary is published on the web. EVA has so far collected data for more than 3000 protein chains. These results may provide valuable insight to both developers and users of prediction methods. AVAILABILITY: http://cubic.bioc.columbia.edu/eva. CONTACT: eva@cubic.bioc.columbia.edu

PMID:: 11751240; [PubMed - indexed for MEDLINE]

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EVA: Evaluation of protein structure prediction servers. [Nucleic Acids Res. 2003]
EVA: Evaluation of protein structure prediction servers.
Koh IY, Eyrich VA, Marti-Renom MA, Przybylski D, Madhusudhan MS, Eswar N, Graña O, Pazos F, Valencia A, Sali A, et al. Nucleic Acids Res. 2003 Jul 1; 31(13):3311-5.
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