We show the true positive (TP), false negative (FN), and false positive (FP) prediction rates for SeqFEATURE (at 95%, 99%, and 100% specificity) and PROSITE on test sites derived from the corresponding PROSITE patterns. The PROSITE values represent the maximum possible for each category. Not all patterns had a false negative or false positive test set. Most of SeqFEATURE's incorrect predictions at 95% and 99% specificity cutoffs arise from poor performance on a small subset of the patterns.<p><b>Copyright information:</b></p><p>Taken from "The SeqFEATURE library of 3D functional site models: comparison to existing methods and applications to protein function annotation"</p><p>http://genomebiology.com/content/9/1/R8</p><p>Genome Biology 2008;9(1):R8-R8.</p><p>Published online 16 Jan 2008</p><p>PMCID:PMC2395245.</p><p></p
