TY - JOUR
T1 - EVA
T2 - Continuous automatic evaluation of protein structure prediction servers
AU - Eyrich, Volker A.
AU - Martí-Renom, Marc A.
AU - Przybylski, Dariusz
AU - Madhusudhan, Mallur S.
AU - Fiser, András
AU - Pazos, Florencio
AU - Valencia, Alfonso
AU - Sali, Andrej
AU - Rost, Burkhard
PY - 2002
Y1 - 2002
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0036139410&partnerID=8YFLogxK
U2 - 10.1093/bioinformatics/17.12.1242
DO - 10.1093/bioinformatics/17.12.1242
M3 - Article
C2 - 11751240
AN - SCOPUS:0036139410
SN - 1367-4803
VL - 17
SP - 1242
EP - 1243
JO - Bioinformatics
JF - Bioinformatics
IS - 12
ER -