Human Immunodeficiency Virus (HIV) infects human by destroying the immune system. The types of HIV strains HIV-1 and HIV-2, among HIV-1 being more prevalent and considered deadly. Eventually either of the strains leads to disease Acquired Immunodeficiency Syndrome (AIDS). Traditional medicinal plants have a pivotal role in the modern pharmacological process due to their rich composition of secondary metabolites with significant biological activity. Computational tools are gaining momentum as they predict with higher accuracy, robust and provide insight in the interaction of small molecule with the disease target protein. This study was conducted for understanding the interaction mode of Phyto compounds with Env spike proteins of HIV. The compounds are studied for ADME properties and molecular docking using Schrödinger software was performed. From the results, Ethyl gallate was observed with least docking score and higher binding affinity for HIV-ENV protein (4CC8) and Cinnamyl acetate (cis/trans) with HIV-1-ENV protein (6ULC).
Keywords: ENV protein, Medicinal plants, Molecular docking, ADMET properties, In-silico drug design
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