The QSAR models are employed to predict the anti-proliferative activity of 81 derivatives of
flavonol against prostate cancer using the Monte Carlo algorithm based on the index of …

Cancer is one of the greatest challenges that worry the minds of scientists and threatens
human life. Despite the presence of several drugs on the market, their effectiveness remains …

Background: Designing and development of molecules for cancer treatment useful and with
no side effects are a big challenge for the researchers in the field of drug discovery. The use …

The quantitative structure–activity relationship (QSAR) of 32 flavone and isoflavone
derivatives with cytotoxicity expressed as pGC50, which is defined as the negative value of …

Background Prostate cancer is the most common non-cutaneous cancer in males and
accounts for about 4% of all cancer-related deaths in males annually. In silico methods …

Multiple discrete quantitative structure–activity relationships (QSARs) models were
constructed for the anticancer activity of α, β-unsaturated carbonyl-based compounds, oxime …

Background: Prostate cancer is one of the most common tumors in the world and the fifth
leading cause of male cancer death. Although the treatment of localized androgen …

Objectives The objective of this work was to predict anti-colon and anti-hepatoma cancer
activity of newly designed substituted 4-anilino coumarin derivatives using quantitative …

This work aimed to evaluate the biological activities of 20 flavones (M1 to M20) and discuss
their structure–activity relationships. In vitro assays were established to assess their …

In this study, the antiproliferative activities of some chalcones and dihydro pyrazole
derivatives in prostate cancer were investigated via the androgen receptor using the QSAR …