Computer-Aided Design of Anticancer 1,4-Naphthoquinone Derivatives

Lubna H. M. Ali *

Department of Chemistry, College of Science, Sudan University of Science and Technology, P.O.Box 407 Khartoum, Sudan

Ahmed E. M. Saeed

Department of Chemistry, College of Science, Sudan University of Science and Technology, P.O.Box 407 Khartoum, Sudan

*Author to whom correspondence should be addressed.


Abstract

Aims: Evaluation the impact of p-naphthoquinones upon biological activities and extent based upon QSAR technique.

Study Design: QSAR Approach.

Methodology: About twelve - eleven naphthoquinones which have cytotoxic effect against eight cancer cell lines: L1210, P388, NCI-H358M, OVCAR-8, PC-3M DU145, T24 and MCF7 and partition coefficient descriptor was used to find good QSAR model.

Results: The biological activity and partition coefficient of naphthoquinones can be modeled with linear regression with negative coefficient and good satisfied statistical data for all these cancer cell lines

Conclusion: The inhibition of eight cancer cell lines is influenced mainly by partition coefficient.

Keywords: Naphthoquinones, QSAR, partition coefficient, cytotoxic activity


How to Cite

H. M. Ali, Lubna, and Ahmed E. M. Saeed. 2017. “Computer-Aided Design of Anticancer 1,4-Naphthoquinone Derivatives”. Chemical Science International Journal 18 (4):1-11. https://doi.org/10.9734/CSJI/2017/31344.

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