Autors: YOSHIKAWA,T., TSUKAMOTO,K., HOURAI,Y., FUKUI,K.
Title: Parameter Tuning and Evaluation of an Affinity Prediction Using Protein-Protein Docking
Keywords: Protein-Protein interaction, affinity prediction, Protein-Pr

Abstract: We have developed a system, which we call affinity evaluation and prediction(AEP) system,to evaluate and predict the partners in protein-protein interaction(PPI) by using a statistical method for calculated docking scores.The complex-protein structures are selected by a newly developed clustering method called grouping.Our previous experiments showed that the AEP system has a tendency to give different accuracy depending on biologically significant protein dataset and data scale(20×20= 400 protein pairs).In this study,we set a data scale (54×54=2916 protein pairs) including 54 biologically significant complexes.As a result of receiver operating characteristics(ROC) analysis,the AEP system obtained 55.6% sensitivity,70.6% specificity,3.44% precision, 70.3% accuracy,6.48% F-measure and an area under the curve (AUC) of 0.655.The prediction accuracy of F-measure was about 1.82 times higher than that of a random sampling (F-measurerandom=3.57%).

References

    Issue

    10th WSEAS International Conference on MATHEMATICAL METHODS AND COMPUTATIONAL TECHNIQUES IN ELECTRICAL ENGINEERING (MMACTEE'08), pp. 312-317, 2008, Bulgaria,

    Вид: публикация в национален форум