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Reseach Article

Virtual Screening of Novel HIV-RT Inhibitors using Zinc Database

by P. V. R. D. Prasada Rao, K. Lakshmi Sunitha, K. Srinivas, A. Govardhan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 2
Year of Publication: 2013
Authors: P. V. R. D. Prasada Rao, K. Lakshmi Sunitha, K. Srinivas, A. Govardhan
10.5120/11053-5951

P. V. R. D. Prasada Rao, K. Lakshmi Sunitha, K. Srinivas, A. Govardhan . Virtual Screening of Novel HIV-RT Inhibitors using Zinc Database. International Journal of Computer Applications. 66, 2 ( March 2013), 1-7. DOI=10.5120/11053-5951

@article{ 10.5120/11053-5951,
author = { P. V. R. D. Prasada Rao, K. Lakshmi Sunitha, K. Srinivas, A. Govardhan },
title = { Virtual Screening of Novel HIV-RT Inhibitors using Zinc Database },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 2 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number2/11053-5951/ },
doi = { 10.5120/11053-5951 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:21:14.708038+05:30
%A P. V. R. D. Prasada Rao
%A K. Lakshmi Sunitha
%A K. Srinivas
%A A. Govardhan
%T Virtual Screening of Novel HIV-RT Inhibitors using Zinc Database
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 2
%P 1-7
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

HIV–1 (human immunodeficiency virus type–1) is the pathogenic retrovirus and causative agent of AIDS, When viral RNA is translated into a polypeptide sequence, it is assembled in a long polypeptide chain, which includes several individual proteins namely, reverse transcriptase, protease, integrase, etc. Before these enzymes become functional they have to be cut from polypeptide chain, The dipyrido diazepinone Nevirapine is a potent and highly specific inhibitor of the reverse transcriptase (RT) from human immunodeficiency virus type 1 (HIV-1). In this paper, we implemented better than existing system by virtual screening analysis of HIV-RT from PDB database versus chemical compounds from ZINC database using eHiTS software. Using molecular constraint search, 884 ligands were extracted and docking analysis resulted in 59 best hits.

References
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Index Terms

Computer Science
Information Sciences

Keywords

HIV reverse transcriptase protease virtualscreening RMSD Zincdatabase ehits docking RCPlot Clustering