Title :
Predicting protein-protein binding sites by a support vector machine approach
Author :
Ou, Rui ; Zhang, Juhua
Author_Institution :
Beijing Inst. of Technol., Beijing
Abstract :
Identifying the interface between two interacting proteins is a crucial clue to the function of protein. We have combined a support vector machine (SVM) approach with PP_SITE, NACCESS to predict protein-protein binding sites. Using leave-one-out cross-validation procedure, we were able to successfully predict the location of binding sites on 98.09% (highest) and 61.31% (lowest). We achieved comparable success rates to the leave-one-out cross validation.
Keywords :
biology computing; molecular biophysics; proteins; support vector machines; NACCESS; PP_SITE; leave-one-out cross-validation procedure; protein-protein binding sites; support vector machine; Application software; Linux; Machine learning algorithms; Packaging machines; Polynomials; Proteins; Software packages; Solvents; Support vector machine classification; Support vector machines; PP_SITE; Protein-protein Binding Sites; Solvent Accessible Surface Area; Support Vector Machine;
Conference_Titel :
Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1077-4
Electronic_ISBN :
978-1-4244-1078-1
DOI :
10.1109/ICCME.2007.4382021
