An Accurate Method for Prediction of Protein-Ligand Binding Site on Protein Surface Using SVM and Statistical Depth Function
Joint Authors
Ruan, Jishou
Wang, Kui
Gao, Jianzhao
Shen, Shiyi
Tuszynski, Jack A.
Hu, Gang
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-30
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wang, Kui& Gao, Jianzhao& Shen, Shiyi& Tuszynski, Jack A.& Ruan, Jishou& Hu, Gang. 2013. An Accurate Method for Prediction of Protein-Ligand Binding Site on Protein Surface Using SVM and Statistical Depth Function. BioMed Research International،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1030522
Modern Language Association (MLA)
Wang, Kui…[et al.]. An Accurate Method for Prediction of Protein-Ligand Binding Site on Protein Surface Using SVM and Statistical Depth Function. BioMed Research International No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1030522
American Medical Association (AMA)
Wang, Kui& Gao, Jianzhao& Shen, Shiyi& Tuszynski, Jack A.& Ruan, Jishou& Hu, Gang. An Accurate Method for Prediction of Protein-Ligand Binding Site on Protein Surface Using SVM and Statistical Depth Function. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1030522
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1030522