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The binding site distance test score: a robust method for the assessment of predicted protein binding sites

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Roche, D. B., Tetchner, S. J. and McGuffin, L. J. (2010) The binding site distance test score: a robust method for the assessment of predicted protein binding sites. Bioinformatics, 26 (22). pp. 2920-2921. ISSN 1460-2059

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To link to this article DOI: 10.1093/bioinformatics/btq543

Abstract/Summary

We propose a novel method for scoring the accuracy of protein binding site predictions – the Binding-site Distance Test (BDT) score. Recently, the Matthews Correlation Coefficient (MCC) has been used to evaluate binding site predictions, both by developers of new methods and by the assessors for the community wide prediction experiment – CASP8. Whilst being a rigorous scoring method, the MCC does not take into account the actual 3D location of the predicted residues from the observed binding site. Thus, an incorrectly predicted site that is nevertheless close to the observed binding site will obtain an identical score to the same number of nonbinding residues predicted at random. The MCC is somewhat affected by the subjectivity of determining observed binding residues and the ambiguity of choosing distance cutoffs. By contrast the BDT method produces continuous scores ranging between 0 and 1, relating to the distance between the predicted and observed residues. Residues predicted close to the binding site will score higher than those more distant, providing a better reflection of the true accuracy of predictions. The CASP8 function predictions were evaluated using both the MCC and BDT methods and the scores were compared. The BDT was found to strongly correlate with the MCC scores whilst also being less susceptible to the subjectivity of defining binding residues. We therefore suggest that this new simple score is a potentially more robust method for future evaluations of protein-ligand binding site predictions.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Biological Sciences > Biomedical Sciences
Interdisciplinary centres and themes > Institute for Cardiovascular and Metabolic Research (ICMR)
ID Code:7710
Publisher:Oxford University Press

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