Exploring Cannabinoids as Potential Inhibitors of SARS-CoV-2 Papain-like Protease: Insights from Computational Analysis and Molecular Dynamics Simulations

被引:2
|
作者
Holmes, Jamie [1 ]
Islam, Shahidul M. [1 ]
Milligan, Kimberly A. [1 ]
机构
[1] Delaware State Univ, Dept Chem, 1200 N DuPont Hwy, Dover, DE 19901 USA
来源
VIRUSES-BASEL | 2024年 / 16卷 / 06期
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
SARS-CoV-2; PLpro; cannabis compounds; molecular docking; molecular dynamics simulations; antiviral therapy; viral replication; computational methods; AUTOMATED DOCKING; AUTODOCK VINA; PHYTOCANNABINOIDS; CANNABIDIOL; ACE2;
D O I
10.3390/v16060878
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has triggered a global COVID-19 pandemic, challenging healthcare systems worldwide. Effective therapeutic strategies against this novel coronavirus remain limited, underscoring the urgent need for innovative approaches. The present research investigates the potential of cannabis compounds as therapeutic agents against SARS-CoV-2 through their interaction with the virus's papain-like protease (PLpro) protein, a crucial element in viral replication and immune evasion. Computational methods, including molecular docking and molecular dynamics (MD) simulations, were employed to screen cannabis compounds against PLpro and analyze their binding mechanisms and interaction patterns. The results showed cannabinoids with binding affinities ranging from -6.1 kcal/mol to -4.6 kcal/mol, forming interactions with PLpro. Notably, Cannabigerolic and Cannabidiolic acids exhibited strong binding contacts with critical residues in PLpro's active region, indicating their potential as viral replication inhibitors. MD simulations revealed the dynamic behavior of cannabinoid-PLpro complexes, highlighting stable binding conformations and conformational changes over time. These findings shed light on the mechanisms underlying cannabis interaction with SARS-CoV-2 PLpro, aiding in the rational design of antiviral therapies. Future research will focus on experimental validation, optimizing binding affinity and selectivity, and preclinical assessments to develop effective treatments against COVID-19.
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页数:22
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