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10.1016/j.imu.2020.100392

http://scihub22266oqcxt.onion/10.1016/j.imu.2020.100392
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C7351674!7351674!32835078
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suck abstract from ncbi


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pmid32835078      Inform+Med+Unlocked 2020 ; 20 (ä): 100392
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  • Structure-based drug designing towards the identification of potential anti-viral for COVID-19 by targeting endoribonuclease NSP15 #MMPMID32835078
  • Krishnan DA; Sangeetha G; Vajravijayan S; Nandhagopal N; Gunasekaran K
  • Inform Med Unlocked 2020[]; 20 (ä): 100392 PMID32835078show ga
  • The world is facing health and economic havoc due to the Corona Virus Disease-2019 (COVID-19) pandemic. Given the number of affected people and the mortality rate, the virus is undoubtedly a serious threat to humanity. By analogy with earlier reports about Severe Acute Respiratory Syndrome (SARS-CoV) and Middle East Respiratory Syndrome (MERS-CoV) - viruses, the novel Coronavirus? replication mechanism is likely well understood. The structure of an endoribonuclease (NSP15) of SARS-CoV-2 was reported recently. This enzyme is expected to play a crucial role in replication. In this work, attempts were made to identify inhibitors of this enzyme. To achieve the goal, high throughput in silico screening and molecular docking procedures were performed. From an Enamine database of a billion compounds, 3978 compounds with potential antiviral activity were selected for screening and induced fit docking that funneled down to eight compounds with good docking score and docking energy. Detailed analysis of non-covalent interactions at the active site and the apparent match of the molecule with the shape of the binding pocket were assessed. All the compounds show significant interactions for tight binding. Since all the compounds are synthetic with favorable drug-like properties, these may be considered for immediate optimization and downstream applications.
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