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10.1016/j.ygeno.2020.07.044 http://scihub22266oqcxt.onion/10.1016/j.ygeno.2020.07.044 32745502!7832256!32745502     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Genomics 2020 ; 112 (6): 4427-4434 Nephropedia Template TP {{tp|p=32745502|t=2020. Probing antiviral drugs against SARS-CoV-2 through virus-drug association prediction based on the KATZ method |pdf=|usr=}}{{32745502}} gab.com Text Probing antiviral drugs against SARS-CoV-2 through virus-drug association prediction based on the KATZ method JO: Genomics http://www.kidney.de/pget.php?&tw=1&pmid=32745502 #FOAvip It is urgent to find an effective antiviral drug against SARS-CoV-2. In this study, 96 virus-drug associations (VDAs) from 12 viruses including SARS-CoV-2 and similar viruses and 78 small molecules are selected. Complete genomic sequence similarity of viruses and chemical structure similarity of drugs are then computed. A KATZ-based VDA prediction method (VDA-KATZ) is developed to infer possible drugs associated with SARS-CoV-2. VDA-KATZ obtained the best AUCs of 0.8803 when the walking length is 2. The predicted top 3 antiviral drugs against SARS-CoV-2 are remdesivir, oseltamivir, and zanamivir. Molecular docking is conducted between the predicted top 10 drugs and the virus spike protein/human ACE2. The results showed that the above 3 chemical agents have higher molecular binding energies with ACE2. For the first time, we found that zidovudine may be effective clues of treatment of COVID-19. We hope that our predicted drugs could help to prevent the spreading of COVID. Twit Text FOAVip Probing antiviral drugs against SARS-CoV-2 through virus-drug association prediction based on the KATZ method ????Genomics http://www.kidney.de/pget.php?&tw=1&pmid=32745502 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32745502 #FOAvip English Wikipedia <ref>{{Cite pmid|32745502}}</ref> Probing antiviral drugs against SARS-CoV-2 through virus-drug association prediction based on the KATZ method #MMPMID32745502 Zhou L; Wang J; Liu G; Lu Q; Dong R; Tian G; Yang J; Peng L Genomics 2020[Nov]; 112 (6): 4427-4434 PMID32745502show ga It is urgent to find an effective antiviral drug against SARS-CoV-2. In this study, 96 virus-drug associations (VDAs) from 12 viruses including SARS-CoV-2 and similar viruses and 78 small molecules are selected. Complete genomic sequence similarity of viruses and chemical structure similarity of drugs are then computed. A KATZ-based VDA prediction method (VDA-KATZ) is developed to infer possible drugs associated with SARS-CoV-2. VDA-KATZ obtained the best AUCs of 0.8803 when the walking length is 2. The predicted top 3 antiviral drugs against SARS-CoV-2 are remdesivir, oseltamivir, and zanamivir. Molecular docking is conducted between the predicted top 10 drugs and the virus spike protein/human ACE2. The results showed that the above 3 chemical agents have higher molecular binding energies with ACE2. For the first time, we found that zidovudine may be effective clues of treatment of COVID-19. We hope that our predicted drugs could help to prevent the spreading of COVID. |Adenosine Monophosphate/analogs & derivatives/metabolism/pharmacology[MESH] |Alanine/analogs & derivatives/metabolism/pharmacology[MESH] |Angiotensin-Converting Enzyme 2/chemistry/metabolism[MESH] |Antiviral Agents/chemistry/*metabolism/*pharmacology[MESH] |Drug Evaluation, Preclinical/*methods[MESH] |Host-Pathogen Interactions/drug effects[MESH] |Humans[MESH] |Molecular Docking Simulation/*methods[MESH] |Oseltamivir/metabolism/pharmacology[MESH] |SARS-CoV-2/*drug effects[MESH] |Spike Glycoprotein, Coronavirus/chemistry/metabolism[MESH]Probing antiviral drugs against SARS-CoV-2 through virus-drug associat(epmc).pdf DeepDyve Pubget Overpricing