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10.4149/av_2021_208 http://scihub22266oqcxt.onion/10.4149/av_2021_208 34130467!ä!34130467 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 302.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Acta+Virol 2021 ; 65 (2): 160-172 Nephropedia Template TP {{tp|p=34130467|t=2021. Computational screening of dual inhibitors from FDA approved antiviral drugs on SARS-CoV-2 spike protein and the main protease using molecular docking approach |pdf=|usr=}}{{34130467}} gab.com Text Computational screening of dual inhibitors from FDA approved antiviral drugs on SARS-CoV-2 spike protein and the main protease using molecular docking approach JO: Acta Virol http://www.kidney.de/pget.php?&tw=1&pmid=34130467 #FOAvip The deadly disease-causing novel coronavirus has recently swept across the world and endangered many human lives. Although, various research on therapeutic measures to solve this pandemic crisis has been published; no favourable results have been achieved. We propose the use of potential FDA-approved dual inhibitors which can inhibit two targets (either on entry-level or the main protease) for the effective treatment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We screened 12 FDA-approved antiviral inhibitors listed in Drug bank and analysed the ADMET properties of each drug of interest to study the bioavailability, safety and toxicity. Two potential targets, the spike protein and the main protease of SARS-CoV-2 obtained from PDB have been used for molecular docking. All the selected drugs were docked with both targets and demonstrated strong hydrogen bond (HB) interactions in multiple active sites. Amongst these, the range of binding energy was from 3-7 kcal/mol for spike protein and 2-8 kcal/mol for the main protease. Upon comparison of all the processed drugs ganciclovir and zanamivir displayed significant binding energy with HB interactions with both, spike (-9.2 and -9 kcal/mol respectively) and the main protease (-9 kcal/mol). Ribavirin and tenofovir showed significant binding energy above -8 kcal/mol with seven HB interactions with the main protease and also spike protein. The novel findings regarding the antiviral properties of these dual inhibitors using a computational approach will be a good starting point for the efficacy determination of these drugs for pre-clinical and clinical studies aimed at developing active antivirals to target SARS-CoV-2. Keywords: SARS-CoV-2; FDA-approved drugs; viral inhibitors; in-silico analysis; molecular docking. Twit Text FOAVip Computational screening of dual inhibitors from FDA approved antiviral drugs on SARS-CoV-2 spike protein and the main protease using molecular docking approach ????Acta Virol http://www.kidney.de/pget.php?&tw=1&pmid=34130467 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34130467 #FOAvip English Wikipedia <ref>{{Cite pmid|34130467}}</ref> Computational screening of dual inhibitors from FDA approved antiviral drugs on SARS-CoV-2 spike protein and the main protease using molecular docking approach #MMPMID34130467 Sabarimurugan S; Purushothaman I; Swaminathan R; Dharmarajan A; Warrier S; Kothandan S Acta Virol 2021[]; 65 (2): 160-172 PMID34130467show ga The deadly disease-causing novel coronavirus has recently swept across the world and endangered many human lives. Although, various research on therapeutic measures to solve this pandemic crisis has been published; no favourable results have been achieved. We propose the use of potential FDA-approved dual inhibitors which can inhibit two targets (either on entry-level or the main protease) for the effective treatment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We screened 12 FDA-approved antiviral inhibitors listed in Drug bank and analysed the ADMET properties of each drug of interest to study the bioavailability, safety and toxicity. Two potential targets, the spike protein and the main protease of SARS-CoV-2 obtained from PDB have been used for molecular docking. All the selected drugs were docked with both targets and demonstrated strong hydrogen bond (HB) interactions in multiple active sites. Amongst these, the range of binding energy was from 3-7 kcal/mol for spike protein and 2-8 kcal/mol for the main protease. Upon comparison of all the processed drugs ganciclovir and zanamivir displayed significant binding energy with HB interactions with both, spike (-9.2 and -9 kcal/mol respectively) and the main protease (-9 kcal/mol). Ribavirin and tenofovir showed significant binding energy above -8 kcal/mol with seven HB interactions with the main protease and also spike protein. The novel findings regarding the antiviral properties of these dual inhibitors using a computational approach will be a good starting point for the efficacy determination of these drugs for pre-clinical and clinical studies aimed at developing active antivirals to target SARS-CoV-2. Keywords: SARS-CoV-2; FDA-approved drugs; viral inhibitors; in-silico analysis; molecular docking. |*COVID-19[MESH] |*Spike Glycoprotein, Coronavirus/genetics[MESH] |Antiviral Agents/pharmacology[MESH] |Humans[MESH] |Molecular Docking Simulation[MESH] |Peptide Hydrolases[MESH]Computational screening of dual inhibitors from FDA approved antiviral(epmc).pdf DeepDyve Pubget Overpricing