Evidence map›Paper›PMID 42776426›Full record

ArticleMolecular diversity2026

Discovery of a new SARS-CoV-2 Mpro inhibitor from a natural product and natural product-like compound database using in silico and in vitro studies.

Sudesna Das, Uttam Pal, Yasmin Begum, Akshay Joshi, Nittu Singh, Krishan Gopal Thakur, Umesh Prasad Singh

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Article in Molecular diversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sudesna DasAcademy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
Uttam PalInfectious Diseases and Immunology Division, Council of Scientific and Industrial Research- Indian Institute of Chemical Biology (CSIR-IICB), Jadavpur, Kolkata, 700032, India.
Yasmin BegumInfectious Diseases and Immunology Division, Council of Scientific and Industrial Research- Indian Institute of Chemical Biology (CSIR-IICB), Jadavpur, Kolkata, 700032, India.ORCID https://orcid.org/0000-0003-2482-8534
Akshay JoshiCouncil of Scientific and Industrial Research- Institute of Microbial Technology (CSIR-IMTECH), Chandigarh, 160036, India.
Nittu SinghCouncil of Scientific and Industrial Research- Institute of Microbial Technology (CSIR-IMTECH), Chandigarh, 160036, India.
Krishan Gopal ThakurCouncil of Scientific and Industrial Research- Institute of Microbial Technology (CSIR-IMTECH), Chandigarh, 160036, India.
Umesh Prasad SinghAcademy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India. umeshsingh.iicb@csir.res.in.

Funding

Council of Scientific and Industrial Research, India HCP-41CSIR - Indian Institute of Chemical Biology OLP118
6 · The paper itself

Abstract

This current study employs structure-guided virtual screening to identify potential inhibitors from 69,075 natural product or natural product-like compounds in the InterBioscreen (IBS) database against the SARS-CoV-2 Main protease (Mpro), a well-validated target. From high-throughput structure-guided virtual screening, subsequently followed by more rigorous re-docking, top seven compounds were chosen as hits based on their high binding affinity and specific H-bond interactions with the active-site residues of Mpro. All these compounds were new for this target as well as the virus. The stability of the seven protein-ligand complexes was further assessed using molecular dynamics (MD) simulations and the MM-GBSA method. The ADME/Tox profile of these seven compounds was also predicted theoretically. After MD simulation, only three compounds, viz. STOCK1N-86169, STOCK1N-88750, and STOCK1N-65657 were identified as high-potential candidates for Mpro inhibition. To confirm the in silico analysis results, an in vitro FRET-based Mpro inhibition assay and an ELISA-based SARS-CoV-2 inhibition assay were performed. From these in vitro investigations, STOCK1N-86169 was identified as the only potent Mpro inhibitor, exhibiting an IC

Indexed as

Differential scanning calorimetryFRET assayInhibitorInterBioscreen (IBS) databaseMD simulationMM-GBSA analysisNatural product-like compoundsSARS-CoV-2 Main protease

Identifiers

PMID42776426

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