ABSTRACT
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: 0.972, test set AUC: 0.955) was used to screen compounds of validation library. Then the compounds screened by best Bayesian model were further screened by molecule docking again. RESULTS: Finally, the hit compounds evaluated with four percentages (1%, 2%, 5%, 10%) were verified to reveal enrichment rates for the compounds. The combination of the ligandbased Bayesian model and structure-based virtual screening resulted in the identification of top four compounds which exhibited excellent IC 50 values against ACC in top 1% of the validation library. CONCLUSION: In summary, the whole strategy is of high efficiency, and would be helpful for the discovery of ACC inhibitors and some other target inhibitors.
Subject(s)
Acetyl-CoA Carboxylase/antagonists & inhibitors , Acetyl-CoA Carboxylase/chemistry , Bayes Theorem , Enzyme Inhibitors/chemistry , Enzyme Inhibitors/pharmacology , Binding Sites , Drug Discovery , Drug Evaluation, Preclinical/methods , Ligands , Models, Molecular , Molecular Docking Simulation , Structure-Activity RelationshipABSTRACT
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. In this study, the influence of GEN and DA on K562 cells in 5-aminolevulinic acid (ALA)-based PDT was demonstrated. The results showed that GEN inhibited cell proliferation and enhance cell apoptosis, lipid peroxidation, and DNA damage in ALA-PDT on K562 cells. However, DA did not enhance cell apoptosis, lipid peroxidation, and DNA damage in ALA-PDT. In conclusion, the results suggested that soy consumption during PDT did not decrease the effectiveness of cancer therapy on malignant cells.
