An accurate method for prediction of protein-ligand binding site on protein surface using SVM and statistical depth function.

Abstract:

:Since proteins carry out their functions through interactions with other molecules, accurately identifying the protein-ligand binding site plays an important role in protein functional annotation and rational drug discovery. In the past two decades, a lot of algorithms were present to predict the protein-ligand binding site. In this paper, we introduce statistical depth function to define negative samples and propose an SVM-based method which integrates sequence and structural information to predict binding site. The results show that the present method performs better than the existent ones. The accuracy, sensitivity, and specificity on training set are 77.55%, 56.15%, and 87.96%, respectively; on the independent test set, the accuracy, sensitivity, and specificity are 80.36%, 53.53%, and 92.38%, respectively.

journal_name

Biomed Res Int

authors

Wang K,Gao J,Shen S,Tuszynski JA,Ruan J,Hu G

doi

10.1155/2013/409658

subject

Has Abstract

pub_date

2013-01-01 00:00:00

pages

409658

eissn

2314-6133

issn

2314-6141

journal_volume

2013

pub_type

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