Abstract—On the membrane of cells, for the purpose of interactions with extracellular matrix, there is a focal adhesion, which is a supramolecular assembly, consisting of various proteins. This cluster has been known for contributing to cell movement and anchorage. Especially, focal adhesion kinase, which is the most essential protein in the focal adhesion, has been detected a lot in surroundings of cancer cells which tells that the kinase is used to cancer outbreak or metastasis. A recent study, conducted by UC San Diego Moores Cancer Center, showed that in vitro, cancer cell could not penetrate or attach to endothelial cells when FAK inhibitor was applied. Under many other researches of cancer, clinical demonstration of FAK inhibitor is actively ongoing to make appropriate prevention to cancer metastasis. In this research, to find out the most available and representative of data of human FAK, we used decision tree algorithm program, C 5.0, with the 12 FAK isoforms sequence data from gene prediction program. Also, by comparing the structural differences between those two isoform with support vector machine and ligand-binding site prediction program, we suggest more accurate and effective data for production of FAK inhibitor.

Index Terms—Cancer cell, focal adhesion kinase, inhibitor of focal adhesion kinase, C 5.0, support vector machine.

Dae Young Kim is with the Natural Science Department, Hankuk Academy of Foreign Studies, South Korea (e-mail: dae8177@naver.com).
Taeseon Yoon is with the International Department, Hankuk Academy of Foreign Studies, Korea (e-mail: tsyoon@hafs.hs.kr).

Cite: Dae Young Kim and Taeseon Yoon, "Providing Available Molecular Modeling Data for Composing Focal Adhesion Kinase Inhibitor by C 5.0, Support Vector Machine, and Structure Prediction Program," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 4, no. 5, pp. 377-381, 2014.