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10.1080/07391102.2020.1835716 http://scihub22266oqcxt.onion/10.1080/07391102.2020.1835716 33084512!7657401!33084512     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 278.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\33084512.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       J+Biomol+Struct+Dyn 2022 ; 40 (5): 2010-2023 Nephropedia Template TP {{tp|p=33084512|t=2022. Targeting the 3CLpro and RdRp of SARS-CoV-2 with phytochemicals from medicinal plants of the Andean Region: molecular docking and molecular dynamics simulations |pdf=|usr=}}{{33084512}} gab.com Text Targeting the 3CLpro and RdRp of SARS-CoV-2 with phytochemicals from medicinal plants of the Andean Region: molecular docking and molecular dynamics simulations JO: J Biomol Struct Dyn http://www.kidney.de/pget.php?&tw=1&pmid=33084512 #FOAvip Given the highly contagious nature of SARS-CoV-2, it has resulted in an unprecedented number of COVID-19 infected and dead people worldwide. Since there is currently no vaccine available in the market, the identification of potential drugs is urgently needed to control the pandemic. In this study, 92 phytochemicals from medicinal plants growing in the Andean region were screened against SARS-CoV-2 3 C-like protease (3CLpro) and RNA-dependent RNA polymerase (RdRp) in their active sites through molecular docking. The cutoff values were set from the lowest docking scores of the FDA-approved drugs that are being used to treat COVID-19 patients (remdesivir, lopinavir, and ritonavir). Compounds with docking scores that were lower than cutoff values were validated by molecular dynamics simulation with GROMACS, using root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), and intermolecular hydrogen bonds (H-bonds). Furthermore, binding free energies were estimated using the MM-PBSA method, and ADMET profiles of potential inhibitors were assessed. Computational analyses revealed that the interaction with hesperidin (theoretical binding energies, DeltaG(bind) = -15.18 kcal/mol to 3CLpro and DeltaG(bind) = -9.46 kcal/mol to RdRp) remained stable in both enzymes, unveiling its remarkable potential as a possible multitarget antiviral agent to treat COVID-19. Importantly, lupinifolin with an estimated binding affinity to 3CLpro higher than hesperidin (DeltaG(bind) = -20.93 kcal/mol) is also a potential inhibitor of the 3CLpro. These two compounds displayed suitable pharmacological and structural properties to be drug candidates, demonstrating to be worthy of further research.Communicated by Ramaswamy H. Sarma. Twit Text FOAVip Targeting the 3CLpro and RdRp of SARS-CoV-2 with phytochemicals from medicinal plants of the Andean Region: molecular docking and molecular dynamics simulations ????J Biomol Struct Dyn http://www.kidney.de/pget.php?&tw=1&pmid=33084512 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33084512 #FOAvip English Wikipedia <ref>{{Cite pmid|33084512}}</ref> Targeting the 3CLpro and RdRp of SARS-CoV-2 with phytochemicals from medicinal plants of the Andean Region: molecular docking and molecular dynamics simulations #MMPMID33084512 Mosquera-Yuqui F; Lopez-Guerra N; Moncayo-Palacio EA J Biomol Struct Dyn 2022[Mar]; 40 (5): 2010-2023 PMID33084512show ga Given the highly contagious nature of SARS-CoV-2, it has resulted in an unprecedented number of COVID-19 infected and dead people worldwide. Since there is currently no vaccine available in the market, the identification of potential drugs is urgently needed to control the pandemic. In this study, 92 phytochemicals from medicinal plants growing in the Andean region were screened against SARS-CoV-2 3 C-like protease (3CLpro) and RNA-dependent RNA polymerase (RdRp) in their active sites through molecular docking. The cutoff values were set from the lowest docking scores of the FDA-approved drugs that are being used to treat COVID-19 patients (remdesivir, lopinavir, and ritonavir). Compounds with docking scores that were lower than cutoff values were validated by molecular dynamics simulation with GROMACS, using root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), and intermolecular hydrogen bonds (H-bonds). Furthermore, binding free energies were estimated using the MM-PBSA method, and ADMET profiles of potential inhibitors were assessed. Computational analyses revealed that the interaction with hesperidin (theoretical binding energies, DeltaG(bind) = -15.18 kcal/mol to 3CLpro and DeltaG(bind) = -9.46 kcal/mol to RdRp) remained stable in both enzymes, unveiling its remarkable potential as a possible multitarget antiviral agent to treat COVID-19. Importantly, lupinifolin with an estimated binding affinity to 3CLpro higher than hesperidin (DeltaG(bind) = -20.93 kcal/mol) is also a potential inhibitor of the 3CLpro. These two compounds displayed suitable pharmacological and structural properties to be drug candidates, demonstrating to be worthy of further research.Communicated by Ramaswamy H. Sarma. |*COVID-19 Drug Treatment[MESH] |*Plants, Medicinal[MESH] |Humans[MESH] |Molecular Docking Simulation[MESH] |Molecular Dynamics Simulation[MESH] |Phytochemicals/pharmacology[MESH] |RNA-Dependent RNA Polymerase[MESH]Targeting the 3CLpro and RdRp of SARS-CoV-2 with phytochemicals from m(epmc).pdf DeepDyve Pubget Overpricing