Orcid Publication

Detalle de: EVA: continuous automatic evaluation of protein structure prediction servers

Title EVA: continuous automatic evaluation of protein structure prediction servers
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 * To whom correspondence should be addressed.

Apa Reference Eyrich, V.A., Martı́-Renom, M.A., Przybylski, D., Madhusudhan, M.S., Fiser, A., Pazos, F., Valencia, A., Sali, A. & Rost, B. (2001). EVA: continuous automatic evaluation of protein structure prediction servers. Bioinformatics, 17(12), 1242-1243. 10.1093/bioinformatics/17.12.1242
Doi 10.1093/bioinformatics/17.12.1242
Publication Date 1 Dec 2001
Publication Type Article
Ontology Bioinformatics Software and Tools, Structural bioinformatics, Web-service, Structure prediction
Researchers Florencio Pazos Cabaleiro
Research Groups
Tools

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