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Updated: Aug 6, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
A comment on "Prediction of protein structural classes by a new measure of information discrepancy"
Kanaka Durga Kedarisetti1, Lukasz Kurgan, Scott Dick
1Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alta., Canada.
Abstract:
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.
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