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10.2174/1570163817999200918103705 http://scihub22266oqcxt.onion/10.2174/1570163817999200918103705 32957889!ä!32957889 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       Curr+Drug+Discov+Technol 2021 ; 18 (5): e17092020186048 Nephropedia Template TP {{tp|p=32957889|t=2021. Identification of Main Protease of Coronavirus SARS-CoV-2 (M(pro)) Inhibitors from Melissa officinalis |pdf=|usr=}}{{32957889}} gab.com Text Identification of Main Protease of Coronavirus SARS-CoV-2 (M(pro)) Inhibitors from Melissa officinalis JO: Curr Drug Discov Technol http://www.kidney.de/pget.php?&tw=1&pmid=32957889 #FOAvip BACKGROUND: The recent outbreak of Coronavirus SARS-CoV-2 (Covid-19), which has rapidly spread around the world in about three months with tens of thousands of deaths recorded so far is a global concern. An urgent need for potential therapeutic intervention is of necessity. M(pro) is an attractive druggable target for the development of anti-COVID-19 drug development. METHODS: Compounds previously characterized by Melissa officinalis were queried against the main protease of coronavirus SARS-CoV-2 using a computational approach. RESULTS: Melitric acid A and salvanolic acid A had higher affinity than lopinavir and ivermectin using both AutodockVina and XP docking algorithms. The computational approach was employed in the generation of the QSAR model using automated QSAR, and in the docking of ligands from Melissa officinalis with SARS-CoV-2 Mpro inhibitors. The best model obtained was KPLS_Radial_ 28 (R(2) = 0.8548 and Q(2)=0.6474, which was used in predicting the bioactivity of the lead compounds. Molecular mechanics based MM-GBSA confirmed salvanolic acid A as the compound with the highest free energy and predicted bioactivity of 4.777; it interacted with His-41 of the catalytic dyad (Cys145-His41) of SARS-CoV-2 main protease (M(pro)), as this may hinder the cutting of inactive viral protein into active ones capable of replication. CONCLUSION: Salvanolic acid A can be further evaluated as a potential M(pro) inhibitor. Twit Text FOAVip Identification of Main Protease of Coronavirus SARS-CoV-2 (M(pro)) Inhibitors from Melissa officinalis ????Curr Drug Discov Technol http://www.kidney.de/pget.php?&tw=1&pmid=32957889 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32957889 #FOAvip English Wikipedia <ref>{{Cite pmid|32957889}}</ref> Identification of Main Protease of Coronavirus SARS-CoV-2 (M(pro)) Inhibitors from Melissa officinalis #MMPMID32957889 Elekofehinti OO; Iwaloye O; Famusiwa CD; Akinseye O; Rocha JBT Curr Drug Discov Technol 2021[]; 18 (5): e17092020186048 PMID32957889show ga BACKGROUND: The recent outbreak of Coronavirus SARS-CoV-2 (Covid-19), which has rapidly spread around the world in about three months with tens of thousands of deaths recorded so far is a global concern. An urgent need for potential therapeutic intervention is of necessity. M(pro) is an attractive druggable target for the development of anti-COVID-19 drug development. METHODS: Compounds previously characterized by Melissa officinalis were queried against the main protease of coronavirus SARS-CoV-2 using a computational approach. RESULTS: Melitric acid A and salvanolic acid A had higher affinity than lopinavir and ivermectin using both AutodockVina and XP docking algorithms. The computational approach was employed in the generation of the QSAR model using automated QSAR, and in the docking of ligands from Melissa officinalis with SARS-CoV-2 Mpro inhibitors. The best model obtained was KPLS_Radial_ 28 (R(2) = 0.8548 and Q(2)=0.6474, which was used in predicting the bioactivity of the lead compounds. Molecular mechanics based MM-GBSA confirmed salvanolic acid A as the compound with the highest free energy and predicted bioactivity of 4.777; it interacted with His-41 of the catalytic dyad (Cys145-His41) of SARS-CoV-2 main protease (M(pro)), as this may hinder the cutting of inactive viral protein into active ones capable of replication. CONCLUSION: Salvanolic acid A can be further evaluated as a potential M(pro) inhibitor. |*COVID-19 Drug Treatment[MESH] |*SARS-CoV-2/drug effects/physiology[MESH] |Antiviral Agents/pharmacology[MESH] |Coronavirus 3C Proteases/*antagonists & inhibitors[MESH] |Coronavirus Protease Inhibitors/*pharmacology[MESH] |Drug Discovery[MESH] |Humans[MESH] |Melissa/*chemistry[MESH] |Molecular Docking Simulation/methods[MESH] |Molecular Dynamics Simulation[MESH]Identification of Main Protease of Coronavirus SARS-CoV-2 (M(pro)) Inh(epmc).pdf DeepDyve Pubget Overpricing