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Alkaloids as Potential Anti-HIV Agents

Authors: Nidhi, Rani; Randhir, Singh; Praveen, Kumar; Prerna, Sharma; Rajwinder, Kaur; Rashmi, Arora; Thakur Gurjeet, Singh;

Alkaloids as Potential Anti-HIV Agents

Abstract

Background: Alkaloids are nitrogen-containing compounds that are naturally occurring and have a variety of biological activities, including antimicrobial properties. In this study, the authors used a molecular docking approach to evaluate the anti-HIV potential of 64 alkaloids. Methods: The authors used the Molegro Virtual Docker software to dock the alkaloids into the active sites of three HIV enzymes: protease, integrase, and non-nucleoside reverse transcriptase (NNRT). The docking scores were used to assess the potential of the alkaloids to inhibit the enzymes. Results: The results showed the alkaloids to have good potential to inhibit the enzymes. Tubocurarine and reserpine were found to be the most potent alkaloids, with docking scores of -123.776 and - 114.956, respectively. Conclusion: The authors concluded that tubocurarine and reserpine could be further promoted as potential lead molecules for the development of new anti-HIV drugs.

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Keywords

Molecular Docking Simulation, Reserpine, Alkaloids, Anti-HIV Agents, Humans, Tubocurarine, Reverse Transcriptase Inhibitors, HIV Infections, HIV Reverse Transcriptase

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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