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General Information
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2017 Vol.7(3): 40-43 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2017.7.3.617

Study of Contribution of Chemical and Physical Properties of Molecules towards Their Activities against Ebola Virus Using Data Mining Techniques

Rungsang Nakrumpai
Abstract—Ebola virus disease is a highly fatal hemorrhagic disease. To date, there is no approved drug to cure Ebola virus disease. Thus there is still the need to search for an effective drug. This study used various data mining techniques to investigate the relationship of chemical and physical properties of chemical molecules towards their activities against Ebola virus. The results suggest that these properties contribute to their activities against Ebola virus. Thus they could be used together with bioinformatics and cheminformatics techniques to help speed up the drug discovery process of Ebola virus disease.

Index Terms—Biological activity, chemical and physical properties, data mining, Ebola virus.

R. Nakrumpai is with the Department of Biochemistry, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand (e-mail: rungsangn@nu.ac.th).
R. Nakrumpai is also with the Centre of Excellent in Medical Biotechnology, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand (e-mail: rungsangn@nu.ac.th).

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Cite: Rungsang Nakrumpai, "Study of Contribution of Chemical and Physical Properties of Molecules towards Their Activities against Ebola Virus Using Data Mining Techniques," International Journal of Machine Learning and Computing vol. 7, no. 3, pp. 40-43, 2017.

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