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10.1515/jbcpp-2020-0262 http://scihub22266oqcxt.onion/10.1515/jbcpp-2020-0262 33594850!ä!33594850 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Basic+Clin+Physiol+Pharmacol 2021 ; 32 (3): 197-214 Nephropedia Template TP {{tp|p=33594850|t=2021. In silico approach: docking study of oxindole derivatives against the main protease of COVID-19 and its comparison with existing therapeutic agents |pdf=|usr=}}{{33594850}} gab.com Text In silico approach: docking study of oxindole derivatives against the main protease of COVID-19 and its comparison with existing therapeutic agents JO: J Basic Clin Physiol Pharmacol http://www.kidney.de/pget.php?&tw=1&pmid=33594850 #FOAvip OBJECTIVES: Presently, the pandemic of COVID-19 has worsened the situation worldwide and received global attention. The United States of America have the highest numbers of a patient infected by this disease followed by Brazil, Russia, India and many other countries. Moreover, lots of research is going on to find out effective vaccines or medicine, but still, no potent vaccine or drug is discovered to cure COVID-19. As a consequence, many types of research have designated that computer-based studies, such as protein-ligand interactions, structural dynamics, and chembio modeling are the finest choice due to its low cost and time-saving features. Here, oxindole derivatives have been chosen for docking because of their immense pharmacological applications like antiviral, antidiabetic, anti-inflammatory, and so on. Molecular docking of 30 oxindole derivatives done on the crystallized structure of the protein (COVID-19 Mpro). METHODS: The process of docking, interaction, and binding the structure of ligand with protein has executed using Molegro Virtual Docker v.7.0.0 (MVD) and visualized the usage by Molegro Molecular Viewer v.7.0.0 (MMV). RESULTS: Among the 30 derivatives, the outcomes depicted better steric interaction and hydrogen bonding amongst OD-22 ligand, OD-16 ligand, OD-4 ligand, and OD-9 ligand (oxindole derivatives) with COVID-19. In addition to this, the comparative study of these four compounds with existing drugs that are under clinical trials shows comparatively good results in terms of its MolDock scores, H-bonding and steric interactions. CONCLUSIONS: Hence, It is proposed that these four oxindole derivatives have good potential as a new drug against coronavirus as possible therapeutic agents. Twit Text FOAVip In silico approach: docking study of oxindole derivatives against the main protease of COVID-19 and its comparison with existing therapeutic agents ????J Basic Clin Physiol Pharmacol http://www.kidney.de/pget.php?&tw=1&pmid=33594850 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33594850 #FOAvip English Wikipedia <ref>{{Cite pmid|33594850}}</ref> In silico approach: docking study of oxindole derivatives against the main protease of COVID-19 and its comparison with existing therapeutic agents #MMPMID33594850 Shah VR; Bhaliya JD; Patel GM J Basic Clin Physiol Pharmacol 2021[Feb]; 32 (3): 197-214 PMID33594850show ga OBJECTIVES: Presently, the pandemic of COVID-19 has worsened the situation worldwide and received global attention. The United States of America have the highest numbers of a patient infected by this disease followed by Brazil, Russia, India and many other countries. Moreover, lots of research is going on to find out effective vaccines or medicine, but still, no potent vaccine or drug is discovered to cure COVID-19. As a consequence, many types of research have designated that computer-based studies, such as protein-ligand interactions, structural dynamics, and chembio modeling are the finest choice due to its low cost and time-saving features. Here, oxindole derivatives have been chosen for docking because of their immense pharmacological applications like antiviral, antidiabetic, anti-inflammatory, and so on. Molecular docking of 30 oxindole derivatives done on the crystallized structure of the protein (COVID-19 Mpro). METHODS: The process of docking, interaction, and binding the structure of ligand with protein has executed using Molegro Virtual Docker v.7.0.0 (MVD) and visualized the usage by Molegro Molecular Viewer v.7.0.0 (MMV). RESULTS: Among the 30 derivatives, the outcomes depicted better steric interaction and hydrogen bonding amongst OD-22 ligand, OD-16 ligand, OD-4 ligand, and OD-9 ligand (oxindole derivatives) with COVID-19. In addition to this, the comparative study of these four compounds with existing drugs that are under clinical trials shows comparatively good results in terms of its MolDock scores, H-bonding and steric interactions. CONCLUSIONS: Hence, It is proposed that these four oxindole derivatives have good potential as a new drug against coronavirus as possible therapeutic agents. |*COVID-19 Drug Treatment[MESH] |*Drug Design[MESH] |*Molecular Docking Simulation[MESH] |Antiviral Agents/chemistry/*pharmacology[MESH] |COVID-19/virology[MESH] |Computer-Aided Design[MESH] |Humans[MESH] |Ligands[MESH] |Molecular Structure[MESH] |Oxindoles/chemistry/*pharmacology[MESH] |Protein Binding[MESH] |SARS-CoV-2/*drug effects/pathogenicity[MESH]In silico approach: docking study of oxindole derivatives against the (epmc).pdf DeepDyve Pubget Overpricing