Virtual Screening Strategy Combined Bayesian Classification Model, Molecular Docking for Acetyl-CoA Carboxylases Inhibitors.

Introduction: Acetyl-CoA Carboxylases (ACC) have been an important target for the therapy of metabolic syndrome, such as obesity, hepatic steatosis, insulin resistance, dyslipidemia, non-alcoholic fatty liver disease (NAFLD), non-alcoholic steatohepatitis (NASH), type 2 diabetes (T2DM), and some other diseases.

Methods: In this study, virtual screening strategy combined with Bayesian categorization modeling, molecular docking and binding site analysis with protein ligand interaction fingerprint (PLIF) was adopted to validate some potent ACC inhibitors. First, the best Bayesian model with an excellent value of Area Under Curve (AUC) value (training set AUC: 0.

The effect of dietary soyabean isoflavones on photodynamic therapy in K562 leukemia cells.

The soyabean isoflavones genistein (GEN) and daidzein (DA) are popular presented in diet. Isoflavones have a variety of biological activities including antioxidant and anticancer properties. On account of its antioxidant activity, isoflavones might protect cancer cells from free radical damage in photodynamic (PDT) during which reactive oxygen species (ROS) production was stimulated leading to irreversible tumor cell injury.