EVA: continuous automatic evaluation of protein structure prediction servers (original) (raw)
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Received:
20 February 2001
Revision received:
28 May 2001
Published:
01 December 2001
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Volker A. Eyrich, Marc A. Martı́-Renom, Dariusz Przybylski, Mallur S. Madhusudhan, András Fiser, Florencio Pazos, Alfonso Valencia, Andrej Sali, Burkhard Rost, EVA: continuous automatic evaluation of protein structure prediction servers , Bioinformatics, Volume 17, Issue 12, December 2001, Pages 1242–1243, https://doi.org/10.1093/bioinformatics/17.12.1242
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Abstract
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: http://cubic.bioc.columbia.edu/eva.
Contact: eva@cubic.bioc.columbia.edu
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© Oxford University Press 2001
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