title: Prediction of protein functions based on function-function correlation relations.
abstract: A protein function pair approach, based on protein-protein interaction (PPI) data, is proposed to predict protein functions. Randomization tests are performed on the PPI dataset, which resulted in a protein function correlation scoring value which is used to rank the relative importance of a function pair. It has been found that certain classes of protein functions tend to be correlated together. Scoring values of these correlation pairs allow us to predict the functionality of a protein given that it interacts with proteins having well-defined function annotations. The jackknife test is used to validate the function pair method. The protein function pair approach achieves a prediction sensitivity comparable to an approach using more sophisticated method. The main advantages of this approach are as follows: (i) a set of function-function correlation relations are derived and intuitive biological interpretation can be achieved, and (ii) its simplicity, only two parameters are needed.
authors.affiliation: Department of Bioinformatics, Asia University, 500 Lioufeng Road, Wufeng Shiang, Taichung, Taiwan. ppiddi@gmail.com
authors.forename: Ka-Lok
authors.initials: KL
authors.lastname: Ng
authors.forename: Jin-Shuei
authors.initials: JS
authors.lastname: Ciou
authors.forename: Chien-Hung
authors.initials: CH
authors.lastname: Huang
mesh_terms: D011485:Protein Binding; D011506:Proteins / Q000378:metabolism*
chemical_list: D011506:Proteins