Abstract
The quantitative structure-property relationship (QSPR) of anabolic androgenic steroids was studied on the half-wave reduction potential (E 1/2) using quantum and physico-chemical molecular descriptors. The descriptors were calculated by semi-empirical calculations. Models were established using partial least square (PLS) regression and back-propagation artificial neural network (BP-ANN). The QSPR results indicate that the descriptors of these derivatives have significant relationship with half-wave reduction potential. The stability and prediction ability of these models were validated using leave-one-out cross-validation and external test set.
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Foundation item: Project supported by the Postdoctoral Science Foundation of Central South University, China; Project(2015SK20823) supported by Science and Technology Project of Hunan Province, China; Project(15A001) supported by Scientific Research Fund of Hunan Provincial Education Department, China; Project(CX2015B372) supported by Hunan Provincial Innovation Foundation for Postgraduate, China; Project supported by Innovation Experiment Program for University Students of Changsha University of Science and Technology, China
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Dai, Ym., Liu, H., Niu, Ll. et al. Estimation of half-wave potential of anabolic androgenic steroids by means of QSER approach. J. Cent. South Univ. 23, 1906–1914 (2016). https://doi.org/10.1007/s11771-016-3246-2
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DOI: https://doi.org/10.1007/s11771-016-3246-2