Open Access


Download data is not yet available.


The HIV/AIDS epidemic has become one of the most dangerous causes leading to millions of deaths around the world a year. To date, there have not had effective anti-HIV drugs in the treatment of HIV/AIDS because of emerging drug-resistant HIV mutants. In this work, potential non-nucleoside reverse transcriptase inhibitors (NNRTIs) were studied by means of molecular docking. The Diversity “drug-like” database from the National Cancer Institute, is composed of 1.420 compounds, was performed docking into the NNRTI binding pocket of HIV-1 reverse transcriptase crystal structure (1fk9) by using Autodock version 4.2.6. Pharmacokinetic properties (absorption, distribution, metabolism and excretion (ADME)) and toxicity of potential inhibitors within the body were predicted by the PreADMET version 2.0. The obtained results point out that the compound, coded 2518, was discovered as a potential inhibitor that has good human intestinal absorption, weakly bound to plasma proteins as well as is negative to mutagenicity and carcinogenicity. This rational inhibitor would be further studied in order to contribute informations finding new anti-HIV drugs.

Author's Affiliation
Article Details

Issue: Vol 2 No 1 (2018)
Page No.: 53-58
Published: Jan 6, 2019
Section: Original Research

 Copyright Info

Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Tien, N. T., & Thanh, B. T. (2019). Predicting binding modes and affinities for non-nucleoside inhibitors to HIV-1 reverse transcriptase using molecular docking. Science and Technology Development Journal - Natural Sciences, 2(1), 53-58.

 Cited by

Article level Metrics by Paperbuzz/Impactstory
Article level Metrics by Altmetrics

 Article Statistics
HTML = 88 times
Download PDF   = 161 times
Total   = 161 times