Bottom - Index of papers - Paper in HTML - Abstract - CUBIC
| Title: | EVA: large-scale analysis of secondary structure prediction |
| Author: | Burkhard Rost \& Volker A Eyrich |
| Quote: | Proteins, 2001, 45 Suppl 5:S192-S199 |
EVA is a web-based server that evaluates automatic structure prediction servers continuously and objectively. Since June 2000, EVA collected more than 20,000 secondary structure predictions. The EVA sets sufficed to conclude that the field of secondary structure prediction has advanced again. Accuracy increased substantially in the 90's through using evolutionary information taken from the divergence of proteins in the same structural family. Recently, the evolutionary information resulting from improved searches and larger databases has again boosted prediction accuracy by more than four percentage points to its current height around 76% of all residues predicted correctly in one of the three states helix, strand, other. The best current methods solved most of the problems raised at earlier CASP meetings: All good methods now get segments right and perform well on strands. Is the recent increase in accuracy significant enough to make predictions even more useful? We believe the answer is affirmative. What is the limit of prediction accuracy? We shall see.
Availability: all data is available through the EVA web site at
{cubic.bioc.columbia.edu/eva/}. The raw data for the results presented
are available at {eva}/sec/bup_common/2001_02_22/.