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10.3390/molecules25112529

http://scihub22266oqcxt.onion/10.3390/molecules25112529
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32485894!7321236!32485894
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suck abstract from ncbi


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pmid32485894      Molecules 2020 ; 25 (11): ä
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  • In Silico Evaluation of the Effectivity of Approved Protease Inhibitors against the Main Protease of the Novel SARS-CoV-2 Virus #MMPMID32485894
  • Eleftheriou P; Amanatidou D; Petrou A; Geronikaki A
  • Molecules 2020[May]; 25 (11): ä PMID32485894show ga
  • The coronavirus disease, COVID-19, caused by the novel coronavirus SARS-CoV-2, which first emerged in Wuhan, China and was made known to the World in December 2019 turned into a pandemic causing more than 126,124 deaths worldwide up to April 16th, 2020. It has 79.5% sequence identity with SARS-CoV-1 and the same strategy for host cell invasion through the ACE-2 surface protein. Since the development of novel drugs is a long-lasting process, researchers look for effective substances among drugs already approved or developed for other purposes. The 3D structure of the SARS-CoV-2 main protease was compared with the 3D structures of seven proteases, which are drug targets, and docking analysis to the SARS-CoV-2 protease structure of thirty four approved and on-trial protease inhibitors was performed. Increased 3D structural similarity between the SARS-CoV-2 main protease, the HCV protease and alpha-thrombin was found. According to docking analysis the most promising results were found for HCV protease, DPP-4, alpha-thrombin and coagulation Factor Xa known inhibitors, with several of them exhibiting estimated free binding energy lower than -8.00 kcal/mol and better prediction results than reference compounds. Since some of the compounds are well-tolerated drugs, the promising in silico results may warrant further evaluation for viral anticipation. DPP-4 inhibitors with anti-viral action may be more useful for infected patients with diabetes, while anti-coagulant treatment is proposed in severe SARS-CoV-2 induced pneumonia.
  • |Amino Acid Sequence[MESH]
  • |Anticoagulants/*chemistry/pharmacology[MESH]
  • |Antiviral Agents/*chemistry/pharmacology[MESH]
  • |Betacoronavirus/chemistry/*drug effects/enzymology/genetics[MESH]
  • |Binding Sites[MESH]
  • |COVID-19[MESH]
  • |Coronavirus 3C Proteases[MESH]
  • |Coronavirus Infections/drug therapy[MESH]
  • |Cysteine Endopeptidases/chemistry/genetics/metabolism[MESH]
  • |Dipeptidyl Peptidase 4/chemistry/genetics/metabolism[MESH]
  • |Dipeptidyl-Peptidase IV Inhibitors/*chemistry/pharmacology[MESH]
  • |Factor Xa/chemistry/genetics/metabolism[MESH]
  • |Hepacivirus/chemistry/enzymology/genetics[MESH]
  • |Humans[MESH]
  • |Molecular Docking Simulation[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/drug therapy[MESH]
  • |Protease Inhibitors/*chemistry/pharmacology[MESH]
  • |Protein Binding[MESH]
  • |Protein Conformation[MESH]
  • |Protein Interaction Domains and Motifs[MESH]
  • |SARS-CoV-2[MESH]
  • |Sequence Alignment[MESH]
  • |Structural Homology, Protein[MESH]
  • |Substrate Specificity[MESH]
  • |Thermodynamics[MESH]
  • |Thrombin/antagonists & inhibitors/chemistry/genetics/metabolism[MESH]


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