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10.1016/j.ijbiomac.2020.09.098 http://scihub22266oqcxt.onion/10.1016/j.ijbiomac.2020.09.098 32950529!7495146!32950529     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32950529&cmd=llinks): Failed to open stream: HTTP request failed! 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Prediction of potential inhibitors for RNA-dependent RNA polymerase of SARS-CoV-2 using comprehensive drug repurposing and molecular docking approach |pdf=|usr=}}{{32950529}} gab.com Text Prediction of potential inhibitors for RNA-dependent RNA polymerase of SARS-CoV-2 using comprehensive drug repurposing and molecular docking approach JO: Int J Biol Macromol http://www.kidney.de/pget.php?&tw=1&pmid=32950529 #FOAvip The pandemic prevalence of COVID-19 has become a very serious global health issue. Scientists all over the world have been seriously attempting in the discovery of a drug to combat SARS-CoV-2. It has been found that RNA-dependent RNA polymerase (RdRp) plays a crucial role in SARS-CoV-2 replication, and thus could be a potential drug target. Here, comprehensive computational approaches including drug repurposing and molecular docking were employed to predict an effective drug candidate targeting RdRp of SARS-CoV-2. This study revealed that Rifabutin, Rifapentine, Fidaxomicin, 7-methyl-guanosine-5'-triphosphate-5'-guanosine and Ivermectin have a potential inhibitory interaction with RdRp of SARS-CoV-2 and could be effective drugs for COVID-19. In addition, virtual screening of the compounds from ZINC database also allowed the prediction of two compounds (ZINC09128258 and ZINC09883305) with pharmacophore features that interact effectively with RdRp of SARS-CoV-2, indicating their potentiality as effective inhibitors of the enzyme. Furthermore, ADME analysis along with analysis of toxicity was also undertaken to check the pharmacokinetics and drug-likeness properties of the two compounds. Comparative structural analysis of protein-inhibitor complexes revealed that the amino acids Y32, K47, Y122, Y129, H133, N138, D140, T141, S709 and N781 are crucial for drug surface hotspot in the RdRp of SARS-CoV-2. Twit Text FOAVip Prediction of potential inhibitors for RNA-dependent RNA polymerase of SARS-CoV-2 using comprehensive drug repurposing and molecular docking approach ????Int J Biol Macromol http://www.kidney.de/pget.php?&tw=1&pmid=32950529 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32950529 #FOAvip English Wikipedia <ref>{{Cite pmid|32950529}}</ref> Prediction of potential inhibitors for RNA-dependent RNA polymerase of SARS-CoV-2 using comprehensive drug repurposing and molecular docking approach #MMPMID32950529 Parvez MSA; Karim MA; Hasan M; Jaman J; Karim Z; Tahsin T; Hasan MN; Hosen MJ Int J Biol Macromol 2020[Nov]; 163 (ä): 1787-1797 PMID32950529show ga The pandemic prevalence of COVID-19 has become a very serious global health issue. Scientists all over the world have been seriously attempting in the discovery of a drug to combat SARS-CoV-2. It has been found that RNA-dependent RNA polymerase (RdRp) plays a crucial role in SARS-CoV-2 replication, and thus could be a potential drug target. Here, comprehensive computational approaches including drug repurposing and molecular docking were employed to predict an effective drug candidate targeting RdRp of SARS-CoV-2. This study revealed that Rifabutin, Rifapentine, Fidaxomicin, 7-methyl-guanosine-5'-triphosphate-5'-guanosine and Ivermectin have a potential inhibitory interaction with RdRp of SARS-CoV-2 and could be effective drugs for COVID-19. In addition, virtual screening of the compounds from ZINC database also allowed the prediction of two compounds (ZINC09128258 and ZINC09883305) with pharmacophore features that interact effectively with RdRp of SARS-CoV-2, indicating their potentiality as effective inhibitors of the enzyme. Furthermore, ADME analysis along with analysis of toxicity was also undertaken to check the pharmacokinetics and drug-likeness properties of the two compounds. Comparative structural analysis of protein-inhibitor complexes revealed that the amino acids Y32, K47, Y122, Y129, H133, N138, D140, T141, S709 and N781 are crucial for drug surface hotspot in the RdRp of SARS-CoV-2. |*Drug Repositioning[MESH] |Antiviral Agents/*chemistry/*pharmacology[MESH] |Betacoronavirus/*drug effects/enzymology[MESH] |COVID-19[MESH] |COVID-19 Drug Treatment[MESH] |Coronavirus Infections/*drug therapy/virology[MESH] |Fidaxomicin/chemistry/pharmacology[MESH] |Humans[MESH] |Ivermectin/chemistry/pharmacology[MESH] |Molecular Docking Simulation[MESH] |Pandemics[MESH] |Pneumonia, Viral/*drug therapy/virology[MESH] |RNA-Dependent RNA Polymerase/*antagonists & inhibitors[MESH] |Rifabutin/chemistry/pharmacology[MESH] |Rifampin/analogs & derivatives/chemistry/pharmacology[MESH] |SARS-CoV-2[MESH]Prediction of potential inhibitors for RNA-dependent RNA polymerase of(epmc).pdf DeepDyve Pubget Overpricing