EVA:: continuous automatic evaluation of protein structure prediction servers

被引：136

作者：

Eyrich, VA

Martí-Renom, MA

Przybylski, D

Madhusudhan, MS

Fiser, A

Pazos, F

Valencia, A

Sali, A

Rost, B

机构：

[1] Columbia Univ, CUBIC, Dept Biochem & Mol Biophys, New York, NY 10032 USA

[2] Columbia Univ, Dept Chem, New York, NY 10027 USA

[3] Rockefeller Univ, Mol Biophys Lab, Pels Family Ctr Biochem & Struct Biol, New York, NY 10021 USA

[4] CNB, CSIC, Prot Design Grp, Madrid 28049, Spain

来源：

BIOINFORMATICS | 2001年 / 17卷 / 12期

关键词：

D O I：

10.1093/bioinformatics/17.12.1242

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：1242 / 1243

页数：2