Compares several prediction servers on a regular basis by using the sequences deposited in the Protein Data Bank. EVA is repository that displays information relative to the evaluation of the accuracy of automated protein structure prediction methods. It focuses mainly on secondary structure prediction, contact prediction, comparative protein structure modelling and threading/fold recognition.
Columbia University Center for Computational Biology and Bioinformatics (C2B2), Columbia University, New York, NY, USA; CUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA; Departments of Biopharmaceutical Sciences and Pharmaceutical Chemistry, and California Institute for Quantitative Biomedical Research, University of California, San Francisco, CA, USA; Department of Physics, Columbia University, New York, NY, USA; Protein Design Group, Centro Nacional de Biotecnologia (CNB-CSIC), Cantoblanco, Madrid, Spain; North East Structural Genomics Consortium (NESG), Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
EVA funding source(s)
Supported partially by a grant from the Spanish Ministry of Science and Technology (PDG, CNB-CSIC), the grant 5-P20-LM7276 from the National Institute of Health (NIH), the NIH grant RO1-GM63029- 01, the NIH grants R01 GM54762 and P50 GM62529, the NIH grant 1-P50- GM62413-01 and the NSF grant DBI-0131168.