Advancing Computer-Aided Drug Discovery (ACADD): In-Silico Approach towards Nuclear Receptors by Big Data

The progression of drug discovery and development is time consuming costly. Advancing Computer-aided (ACADD) an effective tool in reducing the cost research development. This study deals with evaluation nuclear receptors for in-silico biological activity using ligand betulinic acid dexamethasone. Docking results showed that binding energy was -74.190 kcal/mol when compared standard (-51.551 kcal/mol). Interaction -44.16 & -25.14 kcal/mol) ligands also coincide energy. These have shown best ligand-receptor interaction based on their structural parameters.