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.
Combining these in silico approaches will be a more effective and efficient solution in finding new lead compounds for HDAC drug discovery research in the future.
HIV-1 (Human immunodeficiency virus type 1)׳s infection is considered as one of most harmful disease known by human, the
survivability rate of the host reduced significantly when it developed into AIDS. HIV drug resistance is one of the main problems
of its treatment and several drug designs have been done to find new leads compound as the cure. In this study, in silico virtual
screening approach was used to find lead molecules from the library or database of natural compounds as HIV-1 protease
inhibitor. Virtual screening against Indonesian Herbal Database with AutoDock was performed on HIV-1 protease. From the
virtual screening, top ten compounds obtained were 8-Hydroxyapigenin 8-(2",4"-disulfatoglucuronide), Isoscutellarein 4'-methyl
ether, Amaranthin, Torvanol A, Ursonic acid, 5-Carboxypyranocyanidin 3-O-(6"-O-malonyl-beta-glucopyranoside), Oleoside,
Jacoumaric acid, Platanic acid and 5-Carboxypyranocyanidin 3-O-beta-glucopyranoside.
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