Literature DB >> 32663708

Reckoning a fungal metabolite, Pyranonigrin A as a potential Main protease (Mpro) inhibitor of novel SARS-CoV-2 virus identified using docking and molecular dynamics simulation.

Priyashi Rao1, Arpit Shukla2, Paritosh Parmar2, Rakesh M Rawal1, Baldev Patel2, Meenu Saraf2, Dweipayan Goswami3.   

Abstract

The novel SARS-CoV-2 is the etiological agent causing the Coronavirus disease 2019 (COVID-19), which continues to become an inevitable pandemic outbreak. Over a short span of time, the structures of therapeutic target proteins for SARS-CoV-2 were identified based on the homology modelled structure of similar SARS-CoV transmission of 2003. Since the onset of the disease, the research community has been looking for a potential drug lead. Out of all the known resolved structures related to SARS-CoV, Main protease (Mpro) is considered an attractive anti-viral drug target on the grounds of its role in viral replication and probable non-interactive competency to bind to any viral host protein. To the best of our knowledge, till date only one compound has been identified and tested in-vivo as a potent inhibitor of Mpro protein, addressed as N3 (PubChem Compound CID: 6323191) and is known to bind irreversibly to Mpro suppressing its activity. Using computational approach, we intend to identify a probable natural fungal metabolite to interact and inhibit Mpro. After screening various small molecules for molecular docking and dynamics simulation, we propose Pyranonigrin A, a secondary fungal metabolite to possess potent inhibitory potential against the Main protease (Mpro) expressed in SARS-CoV-2 virus.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Docking; Fungal metabolites; Main protease (M(pro)); Molecular dynamics simulation; SARS-CoV-2 novel corona virus

Mesh:

Substances:

Year:  2020        PMID: 32663708     DOI: 10.1016/j.bpc.2020.106425

Source DB:  PubMed          Journal:  Biophys Chem        ISSN: 0301-4622            Impact factor:   2.352


  18 in total

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Review 3.  Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2.

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4.  Insights into the Interaction between Polyphenols and β-Lactoglobulin through Molecular Docking, MD Simulation, and QM/MM Approaches.

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5.  Rapid synthetic approaches to libraries of diversified 1,2-dihydrochromeno[2,3-c]pyrrole-3,9-diones and 3-(2-hydroxyphenyl)-4,5-dihydropyrrolo[3,4-c]pyrazol-6(1H)-ones.

Authors:  Roman N Vydzhak; Svitlana Ya Panchishin; Maryna V Kachaeva; Stepan G Pilyo; Viktoriia S Moskvina; Olga V Shablykina; Andriy V Kozytskiy; Volodymyr S Brovarets
Journal:  Mol Divers       Date:  2021-06-04       Impact factor: 3.364

6.  Meticulous assessment of natural compounds from NPASS database for identifying analogue of GRL0617, the only known inhibitor for SARS-CoV2 papain-like protease (PLpro) using rigorous computational workflow.

Authors:  Paritosh Parmar; Priyashi Rao; Abhilasha Sharma; Arpit Shukla; Rakesh M Rawal; Meenu Saraf; Baldev V Patel; Dweipayan Goswami
Journal:  Mol Divers       Date:  2021-05-18       Impact factor: 3.364

7.  Reckoning γ-Glutamyl-S-allylcysteine as a potential main protease (mpro) inhibitor of novel SARS-CoV-2 virus identified using docking and molecular dynamics simulation.

Authors:  Arun Parashar; Arpit Shukla; Ankush Sharma; Tapan Behl; Dweipayan Goswami; Vineet Mehta
Journal:  Drug Dev Ind Pharm       Date:  2021-06-07       Impact factor: 3.225

8.  In silico studies on stilbenolignan analogues as SARS-CoV-2 Mpro inhibitors.

Authors:  Adnan Cetin
Journal:  Chem Phys Lett       Date:  2021-03-22       Impact factor: 2.328

9.  Identifying potential human and medicinal plant microRNAs against SARS-CoV-2 3'UTR region: A computational genomics assessment.

Authors:  Naman Mangukia; Priyashi Rao; Kamlesh Patel; Himanshu Pandya; Rakesh M Rawal
Journal:  Comput Biol Med       Date:  2021-07-19       Impact factor: 4.589

10.  Silico analysis of interaction between full-length SARS-CoV2 S protein with human Ace2 receptor: Modelling, docking, MD simulation.

Authors:  Li Rui; Li Haonan; Chen Wanyi
Journal:  Biophys Chem       Date:  2020-09-03       Impact factor: 2.352

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