Predicting Protein-protein Binding Sites by A Support Vector Machine Approach
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.
Protein-protein Binding Sites Support Vector Machine PP_SITE Solvent Accessible Surface Area
Rui Ou Juhua Zhang
School of Life Science &Technology, Beijing Institute of Technology, Beijing, China
国际会议
北京
英文
1649-1653
2007-05-23(万方平台首次上网日期,不代表论文的发表时间)