alexa In-silico Docking And QSAR Analysis Of HIV Protease Inhibitors As Anti-dengue Drugs | 17746
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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World Congress on Biotechnology

Prangya Ranjan Rout, G R Satpathy and Raghunath Satpathy
ScientificTracks Abstracts: JPB
DOI: 10.4172/2155-952X.1000001
Abstract
Till date little success has been achieved in antiviral therapy against Dengue virus. The NS3 viral protease, required for virus replication is a potential target for antiviral drugs. This work is a computational prediction of some of the potential HIV protease inhibitors against NS3 protease of Dengue virus followed by activity study of the molecules by taking different types of molecular descriptors. Total 19 inhibitors were obtained from Pubchem database. After energy minimization of molecules the docking study was carried out with NS3 protease of dengue virus as a receptor .The docking evaluates the binding affinity and ligand having Pubchem database id CID 482206 and CID 484561 shows the highest binding affinity i.e., -400.88. All the docked ligands were observed to share a similar position and confirmation with the receptor. Although HIV and Dengue belongs to different families of virus but the docking results suggest that some HIV protease inhibitor could be used as antiviral drug against the Dengue virus. In order to study the activity of these selected potential drug molecules, QSAR analysis has been performed by taking some of the physiochemical and structural descriptors. The effect was calculated for each type of descriptors by taking Andrews affinity as a dependent variable. Multiple regression equation models were built using Minitab Tools.
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