Literature DB >> 32876538

Pharmacoinformatics and hypothetical studies on allicin, curcumin, and gingerol as potential candidates against COVID-19-associated proteases.

Babatunde Joseph Oso1, Akinwunmi Oluwaseun Adeoye2, Ige Francis Olaoye1.   

Abstract

Medicinal plants have been known to provide the essential raw material for the majority of antiviral drugs. This study demonstrated the putative inhibitory potential of curcumin, allicin, and gingerol towards cathepsin K, COVID-19 main protease, and SARS-CoV 3 C-like protease. The pharmacokinetic properties were predicted through the SwissADME server while the corresponding binding affinity of the selected phytocompounds towards the proteins was computed using PyRx-Python Prescription 0.8 and the binding free energy were computed based on conventional molecular dynamics using LARMD server. The ADMET properties revealed all the drugs possess drug-like properties. Curcumin has the highest binding affinities with all the selected proteases while allicin has the lowest binding affinities towards the proteases. Moreover, it was observed that curcumin exhibited the highest binding free energy of -17.90 ± 0.23,  -18.21 ± 0.25, and -9.67 ± 0.08 kcal/mol for Cathepsin K, COVID-19 main protease, and SARS-CoV 3 C-like protease, respectively. Based on the activities of the phytocompounds against coronavirus target proteases involved in the viral entry as evident from the results, the study, therefore, suggests that these phytocompounds could be valuable for the development of drugs useful for the prevention of coronavirus entry and replication.Communicated by Ramaswamy H. Sarma.

Entities:  

Keywords:  SAR-CoV-2; SwissADME; antiviral drugs; autodock tool; phytocompounds

Mesh:

Substances:

Year:  2020        PMID: 32876538     DOI: 10.1080/07391102.2020.1813630

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  14 in total

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5.  Repurposing potential of Ayurvedic medicinal plants derived active principles against SARS-CoV-2 associated target proteins revealed by molecular docking, molecular dynamics and MM-PBSA studies.

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Journal:  Biomed Pharmacother       Date:  2021-02-03       Impact factor: 7.419

6.  Identification of potential plant-based inhibitor against viral proteases of SARS-CoV-2 through molecular docking, MM-PBSA binding energy calculations and molecular dynamics simulation.

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Journal:  Front Pharmacol       Date:  2021-12-01       Impact factor: 5.810

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Journal:  Mol Divers       Date:  2021-09-04       Impact factor: 2.943

9.  Evaluate the Therapeutic Effect of Allicin (L-cysteine) on Clinical Presentation and Prognosis in Patients with COVID-19.

Authors:  Hosein Yaghoubian; Hossein Niktale; Arash Peivandi Yazdi; Vahideh Ghorani; Masoud Mahdavi Rashed; Amir Masoud Hashemian
Journal:  Eur J Transl Myol       Date:  2021-06-18

10.  The impact of curcumin derived polyphenols on the structure and flexibility COVID-19 main protease binding pocket: a molecular dynamics simulation study.

Authors:  Aweke Mulu; Mulugeta Gajaa; Haregewoin Bezu Woldekidan; Jerusalem Fekadu W/Mariam
Journal:  PeerJ       Date:  2021-07-19       Impact factor: 2.984

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