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.

10.2174/1386207323999201103211106 http://scihub22266oqcxt.onion/10.2174/1386207323999201103211106 33155887!ä!33155887 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 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\33155887.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Comb+Chem+High+Throughput+Screen 2021 ; 24 (9): 1482-1491 Nephropedia Template TP {{tp|p=33155887|t=2021. A Computational Approach for Identifying Potential Phytochemicals Against Non-structural Protein 1 (Nsp1) of SARS-CoV-2 |pdf=|usr=}}{{33155887}} gab.com Text A Computational Approach for Identifying Potential Phytochemicals Against Non-structural Protein 1 (Nsp1) of SARS-CoV-2 JO: Comb Chem High Throughput Screen http://www.kidney.de/pget.php?&tw=1&pmid=33155887 #FOAvip AIM AND OBJECTIVE: A recent study has revealed that non-structural protein 1 (Nsp1) of the SARS-CoV-2 is one of the novel targets for developing new antiviral drugs. To date, there is no significant exact medication available to treat Covid-19. As a result, both the death toll and the number of people affecting by this disease are increasing with each passing day. 35 phytochemicals having antiviral properties were taken to get the best compounds against Nsp1 Materials and Methods: As no PDB structure of this protein is available, homology modeling was done to predict the probable structure. After homology modeling, the best model was taken according to C-score and TM- score and then validated using different web servers. After validation, docking of these compounds was done using AutoDock vina, vega zz, and PyRx, and consensus docking score was considered to select molecules after docking. Finally, the orbitals energy calculation of these compounds was done to check their activity and the binding interactions of these molecules also analyzed. RESULTS: Molecules having a consensus score of -8kcal/mol or more negative were kept for further study and it was seen that 16 molecules had the given criteria. Then, drug-likeness filtration was done according to Lipinski's rule of five and 11 molecules remained. Out of these 11 molecules, 5 molecules had satisfactory ADMET properties. Calculation of orbital energy revealed their activity. CONCLUSION: It is expected that this research might be helpful for the development of new antiviral drugs active against SARS-CoV-2 targeting Nsp1. Twit Text FOAVip A Computational Approach for Identifying Potential Phytochemicals Against Non-structural Protein 1 (Nsp1) of SARS-CoV-2 ????Comb Chem High Throughput Screen http://www.kidney.de/pget.php?&tw=1&pmid=33155887 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33155887 #FOAvip English Wikipedia <ref>{{Cite pmid|33155887}}</ref> A Computational Approach for Identifying Potential Phytochemicals Against Non-structural Protein 1 (Nsp1) of SARS-CoV-2 #MMPMID33155887 Hossain MA Comb Chem High Throughput Screen 2021[]; 24 (9): 1482-1491 PMID33155887show ga AIM AND OBJECTIVE: A recent study has revealed that non-structural protein 1 (Nsp1) of the SARS-CoV-2 is one of the novel targets for developing new antiviral drugs. To date, there is no significant exact medication available to treat Covid-19. As a result, both the death toll and the number of people affecting by this disease are increasing with each passing day. 35 phytochemicals having antiviral properties were taken to get the best compounds against Nsp1 Materials and Methods: As no PDB structure of this protein is available, homology modeling was done to predict the probable structure. After homology modeling, the best model was taken according to C-score and TM- score and then validated using different web servers. After validation, docking of these compounds was done using AutoDock vina, vega zz, and PyRx, and consensus docking score was considered to select molecules after docking. Finally, the orbitals energy calculation of these compounds was done to check their activity and the binding interactions of these molecules also analyzed. RESULTS: Molecules having a consensus score of -8kcal/mol or more negative were kept for further study and it was seen that 16 molecules had the given criteria. Then, drug-likeness filtration was done according to Lipinski's rule of five and 11 molecules remained. Out of these 11 molecules, 5 molecules had satisfactory ADMET properties. Calculation of orbital energy revealed their activity. CONCLUSION: It is expected that this research might be helpful for the development of new antiviral drugs active against SARS-CoV-2 targeting Nsp1. |*COVID-19 Drug Treatment[MESH] |*Computational Biology[MESH] |Algorithms[MESH] |Antiviral Agents[MESH] |Binding Sites[MESH] |Drug Development[MESH] |Drug Evaluation, Preclinical[MESH] |Humans[MESH] |Ligands[MESH] |Models, Theoretical[MESH] |Molecular Docking Simulation[MESH] |Phytotherapy/*methods[MESH] |Plants, Medicinal/*chemistry[MESH] |Predictive Value of Tests[MESH]A Computational Approach for Identifying Potential Phytochemicals Agai(epmc).pdf DeepDyve Pubget Overpricing