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10.1093/bioinformatics/btaa645 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btaa645 32692801!7558834!32692801     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Bioinformatics 2020 ; 36 (20): 5109-5111 Nephropedia Template TP {{tp|p=32692801|t=2020. COVID-19 Docking Server: a meta server for docking small molecules, peptides and antibodies against potential targets of COVID-19 |pdf=|usr=}}{{32692801}} gab.com Text COVID-19 Docking Server: a meta server for docking small molecules, peptides and antibodies against potential targets of COVID-19 JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=32692801 #FOAvip MOTIVATION: The coronavirus disease 2019 (COVID-19) caused by a new type of coronavirus has been emerging from China and led to thousands of death globally since December 2019. Despite many groups have engaged in studying the newly emerged virus and searching for the treatment of COVID-19, the understanding of the COVID-19 target-ligand interactions represents a key challenge. Herein, we introduce COVID-19 Docking Server, a web server that predicts the binding modes between COVID-19 targets and the ligands including small molecules, peptides and antibodies. RESULTS: Structures of proteins involved in the virus life cycle were collected or constructed based on the homologs of coronavirus, and prepared ready for docking. The meta-platform provides a free and interactive tool for the prediction of COVID-19 target-ligand interactions and following drug discovery for COVID-19. AVAILABILITY AND IMPLEMENTATION: http://ncov.schanglab.org.cn. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Twit Text FOAVip COVID-19 Docking Server: a meta server for docking small molecules, peptides and antibodies against potential targets of COVID-19 ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=32692801 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32692801 #FOAvip English Wikipedia <ref>{{Cite pmid|32692801}}</ref> COVID-19 Docking Server: a meta server for docking small molecules, peptides and antibodies against potential targets of COVID-19 #MMPMID32692801 Kong R; Yang G; Xue R; Liu M; Wang F; Hu J; Guo X; Chang S Bioinformatics 2020[Dec]; 36 (20): 5109-5111 PMID32692801show ga MOTIVATION: The coronavirus disease 2019 (COVID-19) caused by a new type of coronavirus has been emerging from China and led to thousands of death globally since December 2019. Despite many groups have engaged in studying the newly emerged virus and searching for the treatment of COVID-19, the understanding of the COVID-19 target-ligand interactions represents a key challenge. Herein, we introduce COVID-19 Docking Server, a web server that predicts the binding modes between COVID-19 targets and the ligands including small molecules, peptides and antibodies. RESULTS: Structures of proteins involved in the virus life cycle were collected or constructed based on the homologs of coronavirus, and prepared ready for docking. The meta-platform provides a free and interactive tool for the prediction of COVID-19 target-ligand interactions and following drug discovery for COVID-19. AVAILABILITY AND IMPLEMENTATION: http://ncov.schanglab.org.cn. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |*COVID-19/therapy[MESH] |*Drug Discovery[MESH] |*Molecular Docking Simulation[MESH] |*Software[MESH] |Antibodies[MESH] |Humans[MESH] |Internet[MESH] |Ligands[MESH] |Peptides[MESH]COVID-19 Docking Server: a meta server for docking small molecules, pe(epmc).pdf DeepDyve Pubget Overpricing