Prediction of Structure Activity Relationship (SAR) of Lactobacillus plantarum DA2 content for Cholesterol Reduction Treatment

Abstract

Cholesterol is a chemical that is naturally created by the liver but can also be present in animal-based meals like meat and milk. Cholesterol is required by the body for the formation of healthy cells, the production of several hormones, and the production of vitamin D. Although cholesterol is necessary for the body, high levels can be harmful to one's health, hence therapy to lower cholesterol levels using natural products or the aid of bacterial metabolism is required. Lactobacillus plantarum 2DA is a lactic acid bacterium that has potential as a probiotic, so further analysis is needed on its ability as a therapy to reduce cholesterol through a bioinformatics approach. The method used in this research is to search for bacterial secondary metabolites by studying literature from published journals. Each compound is then searched in the PubChem database for its canonical structure and isomeric SMILE (simplified molecular-input line-entry system) and secondary metabolites in bacteria from the literature study were analyzed for potential using WAY2DRUG PASS prediction (http://www.pharmaexpert. ru/passonline/predict.php) as a cholesterol-lowering treatment. The results of the study based on the prediction of the SAR Way2 Drug Pass Server seen in the Probability To Be Active (Pa) values obtained 0.45, 0.49 and 0.37 for anti-hypercholesterolemic, cholesterol antagonist and cholesterol oxidase inhibitors. From the results obtained, it can be recommended that Lactobacillus plantarum 2DA can be further researched in vivo for cholesterol-lowering therapy.