Stilbenes are a class of plant secondary metabolites that show a potential inhibitory effect on cellular events associated with cancer initiation, promotion, and progression, as well as display in vitro growth inhibition in a number of human cancer cell lines. In this report, a quantitative structure-antileukemic relationship (QSAR) of a set of stilbenes is presented. A multiple linear regression approach was adopted to determine the quantitative importance of the combined presence of some variables taken from the ChEMBL database, as well as the antileukemic activity that has been taken from experimental data in the technical literature of anti-proliferative effects (expressed as IC50) and apoptosis-inducing effects (expressed as AC50) of stilbene derivatives on HL60 cells and properties of ChEMBL database. The results for the antileukemic activity (pIC50 and pAC50) show positive correlations with boiling point, and numbers of cis-bonds and methyl groups, as well as negative correlations with the numbers of methoxy groups in ring B and hydroxy groups. Results from stilbenes analysis will be useful for antileukemic activity prediction of new sets of new stilbenoids, which will prove beneficial for health.
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Quantitative Structure-Antileukemic Activity Models of stilbenoids: A Theoretical Study
Published: 13 December 2018 by MDPI in MOL2NET'18, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 4th ed. congress NICEXSM-04: North-Ibero-American Congress on Exp. and Simul. Methods., Valencia, Spain-Talca, Chile-Miami, USA, 2018-2019
Keywords: Stilbenes, antileukemic activity, QSAR