Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1080/07391102.2020.1813630 http://scihub22266oqcxt.onion/10.1080/07391102.2020.1813630 32876538!ä!32876538 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       J+Biomol+Struct+Dyn 2022 ; 40 (1): 389-400 Nephropedia Template TP {{tp|p=32876538|t=2022. Pharmacoinformatics and hypothetical studies on allicin, curcumin, and gingerol as potential candidates against COVID-19-associated proteases |pdf=|usr=}}{{32876538}} gab.com Text Pharmacoinformatics and hypothetical studies on allicin, curcumin, and gingerol as potential candidates against COVID-19-associated proteases JO: J Biomol Struct Dyn http://www.kidney.de/pget.php?&tw=1&pmid=32876538 #FOAvip Medicinal plants have been known to provide the essential raw material for the majority of antiviral drugs. This study demonstrated the putative inhibitory potential of curcumin, allicin, and gingerol towards cathepsin K, COVID-19 main protease, and SARS-CoV 3 C-like protease. The pharmacokinetic properties were predicted through the SwissADME server while the corresponding binding affinity of the selected phytocompounds towards the proteins was computed using PyRx-Python Prescription 0.8 and the binding free energy were computed based on conventional molecular dynamics using LARMD server. The ADMET properties revealed all the drugs possess drug-like properties. Curcumin has the highest binding affinities with all the selected proteases while allicin has the lowest binding affinities towards the proteases. Moreover, it was observed that curcumin exhibited the highest binding free energy of -17.90 +/- 0.23, ?-18.21 +/- 0.25, and -9.67 +/- 0.08 kcal/mol for Cathepsin K, COVID-19 main protease, and SARS-CoV 3 C-like protease, respectively. Based on the activities of the phytocompounds against coronavirus target proteases involved in the viral entry as evident from the results, the study, therefore, suggests that these phytocompounds could be valuable for the development of drugs useful for the prevention of coronavirus entry and replication.Communicated by Ramaswamy H. Sarma. Twit Text FOAVip Pharmacoinformatics and hypothetical studies on allicin, curcumin, and gingerol as potential candidates against COVID-19-associated proteases ????J Biomol Struct Dyn http://www.kidney.de/pget.php?&tw=1&pmid=32876538 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32876538 #FOAvip English Wikipedia <ref>{{Cite pmid|32876538}}</ref> Pharmacoinformatics and hypothetical studies on allicin, curcumin, and gingerol as potential candidates against COVID-19-associated proteases #MMPMID32876538 Oso BJ; Adeoye AO; Olaoye IF J Biomol Struct Dyn 2022[Jan]; 40 (1): 389-400 PMID32876538show ga Medicinal plants have been known to provide the essential raw material for the majority of antiviral drugs. This study demonstrated the putative inhibitory potential of curcumin, allicin, and gingerol towards cathepsin K, COVID-19 main protease, and SARS-CoV 3 C-like protease. The pharmacokinetic properties were predicted through the SwissADME server while the corresponding binding affinity of the selected phytocompounds towards the proteins was computed using PyRx-Python Prescription 0.8 and the binding free energy were computed based on conventional molecular dynamics using LARMD server. The ADMET properties revealed all the drugs possess drug-like properties. Curcumin has the highest binding affinities with all the selected proteases while allicin has the lowest binding affinities towards the proteases. Moreover, it was observed that curcumin exhibited the highest binding free energy of -17.90 +/- 0.23, ?-18.21 +/- 0.25, and -9.67 +/- 0.08 kcal/mol for Cathepsin K, COVID-19 main protease, and SARS-CoV 3 C-like protease, respectively. Based on the activities of the phytocompounds against coronavirus target proteases involved in the viral entry as evident from the results, the study, therefore, suggests that these phytocompounds could be valuable for the development of drugs useful for the prevention of coronavirus entry and replication.Communicated by Ramaswamy H. Sarma. |*Catechols/pharmacology[MESH] |*Curcumin/pharmacology[MESH] |COVID-19[MESH] |Cathepsin K/antagonists & inhibitors[MESH] |Coronavirus 3C Proteases/*antagonists & inhibitors[MESH] |Disulfides/pharmacology[MESH] |Fatty Alcohols/pharmacology[MESH] |Humans[MESH] |Molecular Docking Simulation[MESH] |SARS-CoV-2/*drug effects[MESH]Pharmacoinformatics and hypothetical studies on allicin, curcumin, and(epmc).pdf DeepDyve Pubget Overpricing