Literature DB >> 32875950

Proposing a fungal metabolite-flaviolin as a potential inhibitor of 3CLpro of novel coronavirus SARS-CoV-2 identified using docking and molecular dynamics.

Priyashi Rao1, Arpit Shukla2, Paritosh Parmar2, Rakesh M Rawal1, Baldev V Patel2, Meenu Saraf2, Dweipayan Goswami2.   

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 virus, SARS-CoV that transmitted rapidly in 2003. Since the outset 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-2; 3-chymotrypsin (3 C) like protease (3CLpro) is considered as an attractive anti-viral drug compound 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-vitro as a potent inhibitor of 3CLpro protein, addressed as N3 (PubChem Compound CID: 6323191) and is known to bind irreversibly to 3CLpro suppressing its activity. Using computational approach, we intend to identify a probable natural fungal metabolite to interact and inhibit 3CLpro. Here after performing docking and molecular dynamics of various small molecules derived as a secondary metabolite from fungi, we propose Flaviolin as potent inhibitor of 3CLpro of novel Coronavirus SARS-CoV-2.Communicated by Ramaswamy H. Sarma.

Entities:  

Keywords:  ); 3-chymotrypsin like protease (3CLpro; Fungal metabolites; Molecular dynamics; SARS-CoV-2 novel corona virus; docking

Mesh:

Substances:

Year:  2020        PMID: 32875950     DOI: 10.1080/07391102.2020.1813202

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


  7 in total

Review 1.  Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2.

Authors:  Kaifu Gao; Rui Wang; Jiahui Chen; Limei Cheng; Jaclyn Frishcosy; Yuta Huzumi; Yuchi Qiu; Tom Schluckbier; Xiaoqi Wei; Guo-Wei Wei
Journal:  Chem Rev       Date:  2022-05-20       Impact factor: 72.087

2.  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

3.  Identifying structural-functional analogue of GRL0617, the only well-established inhibitor for papain-like protease (PLpro) of SARS-CoV2 from the pool of fungal metabolites using docking and molecular dynamics simulation.

Authors:  Priyashi Rao; Rohit Patel; Arpit Shukla; Paritosh Parmar; Rakesh M Rawal; Meenu Saraf; Dweipayan Goswami
Journal:  Mol Divers       Date:  2021-04-06       Impact factor: 3.364

4.  Repurposing the antibacterial drugs for inhibition of SARS-CoV2-PLpro using molecular docking, MD simulation and binding energy calculation.

Authors:  Rohit Patel; Jignesh Prajapati; Priyashi Rao; Rakesh M Rawal; Meenu Saraf; Dweipayan Goswami
Journal:  Mol Divers       Date:  2021-09-30       Impact factor: 3.364

5.  Prophylactic Treatment of Probiotic and Metformin Mitigates Ethanol-Induced Intestinal Barrier Injury: In Vitro, In Vivo, and In Silico Approaches.

Authors:  Farhin Patel; Kirti Parwani; Priyashi Rao; Dhara Patel; Rakesh Rawal; Palash Mandal
Journal:  Mediators Inflamm       Date:  2021-09-27       Impact factor: 4.711

6.  Comparative assessment of RNA-dependent RNA polymerase (RdRp) inhibitors under clinical trials to control SARS-CoV2 using rigorous computational workflow.

Authors:  Dweipayan Goswami
Journal:  RSC Adv       Date:  2021-09-02       Impact factor: 4.036

7.  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

  7 in total

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