EVA: Evaluation of protein structure prediction servers.
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.
Koh
Ingrid Y Y
IY
Columbia University Center for Computational Biology and Bioinformatics (C2B2), Russ Berrie Pavilion, 1150 St Nicholas Avenue, New York, NY 10032, USA. koh@cubic.bioc.columbia.edu
Eyrich
Volker A
VA
Marti-Renom
Marc A
MA
Przybylski
Dariusz
D
Madhusudhan
Mallur S
MS
Eswar
Narayanan
N
Graña
Osvaldo
O
Pazos
Florencio
F
Valencia
Alfonso
A
Sali
Andrej
A
Rost
Burkhard
B
D001331:Automation; D030562:Databases, Protein; D020407:Internet; D011487:Protein Conformation; D017510:Protein Folding; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry; D015203:Reproducibility of Results; D020539:Sequence Analysis, Protein; D040681:Structural Homology, Protein
D011506:Proteins