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In silico screening for potential inhibitors from the phytocompounds of Carica papaya against Zika virus NS5 protein

Authors: Kishore Krishna Kumaree; Naga Venkata Anusha Anthikapalli; Anchalee Prasansuklab;

In silico screening for potential inhibitors from the phytocompounds of Carica papaya against Zika virus NS5 protein

Abstract

Background: The Zika virus (ZIKV) infection has emerged as a global health threat. The causal reasoning is that Zika infection is linked to the development of microcephaly in newborns and Guillain-Barré syndrome in adults. With no clinically approved antiviral treatment for ZIKV, the need for the development of potential inhibitors against the virus is essential. In this study, we aimed to screen phytochemicals from papaya (Carica papaya L.) against NS5 protein domains of ZIKV. Methods: Approximately 193 phytochemicals from an online database (IMPACT) were subjected for molecular docking using AutoDock Vina against NS5-MTase protein domain (5WXB) and -RdRp domain (5UO4). Results: Our results showed that β-sitosterol, carpaine, violaxanthin, pseudocarpaine, Δ7-avenasterols, Rutin, and cis-β-carotene had the highest binding affinity to both protein domains, with β-sitosterol having the most favorable binding energy. Furthermore, ADME analysis revealed that selected compounds had good pharmacokinetic properties and were nontoxic. Conclusions: Our findings suggest that papaya-derived phytochemicals could be potential candidates for developing antiviral drugs against ZIKV. However, further experimental studies using cell lines and in vivo models are needed to validate their efficacy and safety.

Keywords

Carica, Zika Virus Infection, Phytochemicals, Drug Evaluation, Preclinical, zika infection, Zika Virus, molecular docking, Viral Nonstructural Proteins, Antiviral Agents, Molecular Docking Simulation, papaya, Humans, Computer Simulation, Research Article

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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!
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