Year: 2003
Type: article
Abstract: EVA (http://cubic.bioc.columbia.edu/eva/) is a web server for evaluation of the accuracy of automated protein structure prediction methods. The evaluation is updated automatically each week, to cope with the large number of existing prediction servers and the constant changes in the prediction methods. EVA currently assesses servers for secondary structure prediction, contact prediction, comparative protein structure modelling and threading/fold recognition. Every day, sequences of newly available protein structures in the Protein Data Bank (PDB) are sent to the servers and their predictions are collected. The predictions are then compared to the experimental structures once a week; the results are published on the EVA web pages. Over time, EVA has accumulated prediction results for a large number of proteins, ranging from hundreds to thousands, depending on the prediction method. This large sample assures that methods are compared reliably. As a result, EVA provides useful information to developers as well as users of prediction methods.
Source: Nucleic Acids Research
DOI: 10.1093/nar/gkg619
Authors: I. Y. Y. Koh, Volker A Eyrich, Marc A Marti-Renom, Dariusz Przybylski, Mallur S Madhusudhan, Narayanan Eswar, Osvaldo Graña, Florencio Pazos, Alfonso Valencia, Andrej Sali, Burkhard Rost
Institution: Columbia University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: bronze
Awards: Protein Modeling by Satisfaction of Spatial Restraints, Center for Computational Biology and Bioinformatics, G5600436576, STRUCTURAL GENOMICS OF EUKARYOTIC MODEL ORGANISMS, Ab Initio Prediction of Protein Localization, G7921001194, Intruding into the midnight zone of protein comparisons, CENTER FOR STRUCTURAL GENOMICS, G9000296916
OpenAlex ID: W2153414768