Abstract

The present study describes the quantitative retention - (anticancer) activity relationship analysis of a series of 17-picolyl and 17-picolinylidene androstane derivatives based on the chromatographic data obtained by reversed-phase high performance liquid chromatography (C18-RP-HPLC) in a mobile phase consisting of 90% of methanol and 10% of water. The obtained retention factor or chromatographic lipophilicity factor (logk0.90) was correlated with the antiproliferative activity of studied compounds (IC50) toward androgen-receptor negative prostate cancer cell line (AR-neg. PC-3). Correlation analysis was carried out by applying non-linear artificial neural networks (ANNs) method. Statistical validation showed that the obtained ANNs can successfully predict the IC50 values of structurally similar androstane derivatives.

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