Computational Approach For Optimizing Inhibitors Of HMG-CoA Reductase | 4756
ISSN: 2155-952X

Journal of Biotechnology & Biomaterials
Open Access

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Computational approach for optimizing inhibitors of HMG-CoA reductase

3rd World Congress on Biotechnology

A. Ramakrishna and Uma Vuruputuri

Posters: Agrotechnol

DOI: 10.4172/2155-952X.S1.020

Coronary artery disease isone of the most investigated diseases in medicinal chemistry. HMG-CoA reductase (or 3-hydroxy- 3-methyl-glutaryl-CoA reductase or HMGCR) is the rate-controlling enzyme of the mevalonate pathway, the metabolic pathway that produces cholesterol and other isoprenoids. Normally in mammalian cells this enzyme is suppressed by cholesterol derived from the internalization and degradation of low density lipoprotein (LDL) via the LDL receptor as well as oxidized species of cholesterol. This enzyme is thus the target of the widely available cholesterol-lowering drugs known collectively as the statins. In present study crystal structure of HMG-coA 1HWK was prepared. Active site was identified. Virtual screening was performed against ligand data set prepared from different literature search and ZINC data base to identify a lead molecule. This lead molecule was optimized using molecular dynamics. These lead molecules show good docking score than statins.