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Identification and Investigation of a Cryptic Binding Pocket of the P37 Envelope Protein of Monkeypox Virus by Molecular Dynamics Simulations.
Sen Gupta, Parth Sarthi; Panda, Saroj Kumar; Nayak, Abhijit Kumar; Rana, Malay Kumar.
  • Sen Gupta PS; School of Biosciences and Bioengineering, D Y Patil International University (DYPIU), Akurdi, Pune 411044, Maharashtra, India.
  • Panda SK; Department of Chemical Sciences, Indian Institute of Science Education and Research (IISER), Berhampur, Odisha 760010, India.
  • Nayak AK; Department of Chemical Sciences, Indian Institute of Science Education and Research (IISER), Berhampur, Odisha 760010, India.
  • Rana MK; Department of Chemical Sciences, Indian Institute of Science Education and Research (IISER), Berhampur, Odisha 760010, India.
J Phys Chem Lett ; 14(13): 3230-3235, 2023 Apr 06.
Article in English | MEDLINE | ID: covidwho-2280490
ABSTRACT
The spread of the monkeypox virus has surged during the unchecked COVID-19 epidemic. The most crucial target is the viral envelope protein, p37. However, lacking p37's crystal structure is a significant hurdle to rapid therapeutic discovery and mechanism elucidation. Structural modeling and molecular dynamics (MD) of the enzyme with inhibitors reveal a cryptic pocket occluded in the unbound structure. For the first time, the inhibitor's dynamic flip from the active to the cryptic site enlightens p37's allosteric site, which squeezes the active site, impairing its function. A large force is needed for inhibitor dissociation from the allosteric site, ushering in its biological importance. In addition, hot spot residues identified at both locations and discovered drugs more potent than tecovirimat may enable even more robust inhibitor designs against p37 and accelerate the development of monkeypox therapies.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Molecular Dynamics Simulation / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: J Phys Chem Lett Year: 2023 Document Type: Article Affiliation country: Acs.jpclett.3c00087

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Molecular Dynamics Simulation / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: J Phys Chem Lett Year: 2023 Document Type: Article Affiliation country: Acs.jpclett.3c00087