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Virtual screening of Indonesian herbal database as HIV-1 reverse transcriptase inhibitor

HIV-1 (Human immunodeficiency virus type 1) is a member of retrovirus family that could infect human and causing AIDS disease. AIDS epidemic is one of most destructive diseases in modern era. There were more than 33 million people infected by HIV until 2010. Various studies have been widely employed...

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Autores principales: Syahdi, Rezi Riadhi, Mun'im, Abdul, Suhartanto, Heru, Yanuar, Arry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3530873/
https://www.ncbi.nlm.nih.gov/pubmed/23275721
http://dx.doi.org/10.6026/97320630081206
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author Syahdi, Rezi Riadhi
Mun'im, Abdul
Suhartanto, Heru
Yanuar, Arry
author_facet Syahdi, Rezi Riadhi
Mun'im, Abdul
Suhartanto, Heru
Yanuar, Arry
author_sort Syahdi, Rezi Riadhi
collection PubMed
description HIV-1 (Human immunodeficiency virus type 1) is a member of retrovirus family that could infect human and causing AIDS disease. AIDS epidemic is one of most destructive diseases in modern era. There were more than 33 million people infected by HIV until 2010. Various studies have been widely employed to design drugs that target the essential enzymes of HIV-1 that is, reverse transcriptase, protease and integrase. In this study, in silico virtual screening approach is used to find lead molecules from the library or database of natural compounds as HIV-1 reverse transcriptase inhibitor. Virtual screening against Indonesian Herbal Database using AutoDock4 performed on HIV-1 reverse transcriptase. From the virtual screening, top ten compounds were mulberrin, plucheoside A, vitexilactone, brucine N-oxide, cyanidin 3-arabinoside, alpha-mangostin, guaijaverin, erycristagallin, morusin and sanggenol N.
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spelling pubmed-35308732012-12-28 Virtual screening of Indonesian herbal database as HIV-1 reverse transcriptase inhibitor Syahdi, Rezi Riadhi Mun'im, Abdul Suhartanto, Heru Yanuar, Arry Bioinformation Hypothesis HIV-1 (Human immunodeficiency virus type 1) is a member of retrovirus family that could infect human and causing AIDS disease. AIDS epidemic is one of most destructive diseases in modern era. There were more than 33 million people infected by HIV until 2010. Various studies have been widely employed to design drugs that target the essential enzymes of HIV-1 that is, reverse transcriptase, protease and integrase. In this study, in silico virtual screening approach is used to find lead molecules from the library or database of natural compounds as HIV-1 reverse transcriptase inhibitor. Virtual screening against Indonesian Herbal Database using AutoDock4 performed on HIV-1 reverse transcriptase. From the virtual screening, top ten compounds were mulberrin, plucheoside A, vitexilactone, brucine N-oxide, cyanidin 3-arabinoside, alpha-mangostin, guaijaverin, erycristagallin, morusin and sanggenol N. Biomedical Informatics 2012-12-08 /pmc/articles/PMC3530873/ /pubmed/23275721 http://dx.doi.org/10.6026/97320630081206 Text en © 2012 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Hypothesis
Syahdi, Rezi Riadhi
Mun'im, Abdul
Suhartanto, Heru
Yanuar, Arry
Virtual screening of Indonesian herbal database as HIV-1 reverse transcriptase inhibitor
title Virtual screening of Indonesian herbal database as HIV-1 reverse transcriptase inhibitor
title_full Virtual screening of Indonesian herbal database as HIV-1 reverse transcriptase inhibitor
title_fullStr Virtual screening of Indonesian herbal database as HIV-1 reverse transcriptase inhibitor
title_full_unstemmed Virtual screening of Indonesian herbal database as HIV-1 reverse transcriptase inhibitor
title_short Virtual screening of Indonesian herbal database as HIV-1 reverse transcriptase inhibitor
title_sort virtual screening of indonesian herbal database as hiv-1 reverse transcriptase inhibitor
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3530873/
https://www.ncbi.nlm.nih.gov/pubmed/23275721
http://dx.doi.org/10.6026/97320630081206
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