A comment on "Prediction of protein structural classes by a new measure of information discrepancy".
Protein structural class describes the overall folding type of a protein or its domain. A number of methods were developed to predict protein structural class based on its primary sequence. The homology of the predicted sequences with respect to the training sequences is a key attribute for the prediction performance. In this article we investigated the FDOD method developed by Jin et al. [Jin, L., Fang, W., Tang, H., 2003. Prediction of protein structural classes by a new measure of information discrepancy. Comput. Biol. Chem. 27, 373-380], which gave high prediction accuracy on a low homology dataset, and we empirically confirmed that the reported results were an artifact of improper implementation.
Kedarisetti
Kanaka Durga
KD
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alta., Canada.
Kurgan
Lukasz
L
Dick
Scott
S
D003198:Computer Simulation; D030562:Databases, Protein; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry* / Q000145:classification
D011506:Proteins