EVA: continuous automatic evaluation of protein structure prediction servers

@article{Eyrich2001EVACA,
  title={EVA: continuous automatic evaluation of protein structure prediction servers},
  author={Volker A. Eyrich and Marc A. Mart{\'i}-Renom and Dariusz Przybylski and Mallur S. Madhusudhan and Andr{\'a}s Fiser and Florencio Pazos and Alfonso Valencia and Andrej Sali and Burkhard Rost},
  journal={Bioinformatics},
  year={2001},
  volume={17 12},
  pages={1242-3}
}
UNLABELLED 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… CONTINUE READING
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