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Protein degradation: a novel computational approach to design protein degrader probes for main protease of SARS-CoV-2.
Shaheer, Muhammed; Singh, Ravi; Sobhia, M Elizabeth.
  • Shaheer M; Department of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research (NIPER), Mohali, Punjab, India.
  • Singh R; Department of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research (NIPER), Mohali, Punjab, India.
  • Sobhia ME; Department of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research (NIPER), Mohali, Punjab, India.
J Biomol Struct Dyn ; : 1-13, 2021 Jul 30.
Article in English | MEDLINE | ID: covidwho-2280762
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has afflicted many lives and led to approvals of drugs and vaccines for emergency use. Even though vaccines have emerged, the high mortality of COVID-19 and its insurgent proliferation throughout the masses commands an innovative therapeutic proposition for the treatment. Targeted protein degradation has been applied to various disease domains and we propose that it could be incredibly beneficial to tackle the current pandemic. In this study, we have attempted to furnish insights on the design of suitable PROTACs for the main protease (Mpro) of SARS-CoV-2, a protein that is considered to be an essential target for viral replication. We have employed protein-protein docking to predict the possible complementarity between a cereblon E3 ligase and Mpro of SARS-CoV-2, and estimate possible linker length. Molecular Dynamic simulation and analysis on generated ternary complexes demonstrated stable interactions that suggested that designed PROTAC has a potential to cause degradation. The superior characteristics rendered by PROTACS led us to propose them as possibly the next-generation antiviral drugs for SARS-CoV-2.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines Language: English Journal: J Biomol Struct Dyn Year: 2021 Document Type: Article Affiliation country: 07391102.2021.1953601

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines Language: English Journal: J Biomol Struct Dyn Year: 2021 Document Type: Article Affiliation country: 07391102.2021.1953601