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| Title: | EVA: continuous automatic evaluation of protein structure prediction servers |
| Author: | Volker A Eyrich, Marc A Martí-Renom, Dariusz Przybylski, M S Madhusudhan, András Fiser, Florencio Pazos, Alfonso Valencia, Andrej Sali, & Burkhard Rost |
| Quote: | Bioinformatics, 2001, 17, 1242-3 |
Summary: 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: All EVA web pages are accessible at http://cubic.bioc.columbia.edu/eva. Pages are mirrored at http://pipe.rockefeller.edu/~eva and http://pdg.cnb.uam.es/eva. Dynamic pages that are built upon a user query are restricted to the mirror-site that generated them. However, most pages are static and the entire HTML directory tree can be downloaded by ftp.
Contact: eva@cubic.bioc.columbia.edu
Key words: protein structure prediction, automatic evaluation,
CASP, comparative modelling, secondary structure, inter-residue
contacts
NOTE to the printer: Please maintain the italic typesetting for the first sentence of each paragraph instead of sub-headings.
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