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10.1021/acsnano.0c02857 http://scihub22266oqcxt.onion/10.1021/acsnano.0c02857 32286790!7163933!32286790     free     free     free 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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32286790.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       ACS+Nano 2020 ; 14 (4): 5143-5147 Nephropedia Template TP {{tp|p=32286790|t=2020. Computational Design of ACE2-Based Peptide Inhibitors of SARS-CoV-2 |pdf=|usr=}}{{32286790}} gab.com Text Computational Design of ACE2-Based Peptide Inhibitors of SARS-CoV-2 JO: ACS Nano http://www.kidney.de/pget.php?&tw=1&pmid=32286790 #FOAvip Peptide inhibitors against the SARS-CoV-2 coronavirus, currently causing a worldwide pandemic, are designed and simulated. The inhibitors are mostly formed by two sequential self-supporting alpha-helices (bundle) extracted from the protease domain (PD) of angiotensin-converting enzyme 2 (ACE2), which bind to the SARS-CoV-2 receptor binding domains. Molecular dynamics simulations revealed that the alpha-helical peptides maintain their secondary structure and provide a highly specific and stable binding (blocking) to SARS-CoV-2. To provide a multivalent binding to the SARS-CoV-2 receptors, many such peptides could be attached to the surfaces of nanoparticle carriers. The proposed peptide inhibitors could provide simple and efficient therapeutics against the COVID-19 disease. Twit Text FOAVip Computational Design of ACE2-Based Peptide Inhibitors of SARS-CoV-2 ????ACS Nano http://www.kidney.de/pget.php?&tw=1&pmid=32286790 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32286790 #FOAvip English Wikipedia <ref>{{Cite pmid|32286790}}</ref> Computational Design of ACE2-Based Peptide Inhibitors of SARS-CoV-2 #MMPMID32286790 Han Y; Kral P ACS Nano 2020[Apr]; 14 (4): 5143-5147 PMID32286790show ga Peptide inhibitors against the SARS-CoV-2 coronavirus, currently causing a worldwide pandemic, are designed and simulated. The inhibitors are mostly formed by two sequential self-supporting alpha-helices (bundle) extracted from the protease domain (PD) of angiotensin-converting enzyme 2 (ACE2), which bind to the SARS-CoV-2 receptor binding domains. Molecular dynamics simulations revealed that the alpha-helical peptides maintain their secondary structure and provide a highly specific and stable binding (blocking) to SARS-CoV-2. To provide a multivalent binding to the SARS-CoV-2 receptors, many such peptides could be attached to the surfaces of nanoparticle carriers. The proposed peptide inhibitors could provide simple and efficient therapeutics against the COVID-19 disease. |*Computational Chemistry[MESH] |*Drug Design[MESH] |*Molecular Dynamics Simulation[MESH] |*Peptides/chemistry/therapeutic use[MESH] |Angiotensin-Converting Enzyme 2[MESH] |Betacoronavirus/*drug effects[MESH] |COVID-19[MESH] |COVID-19 Drug Treatment[MESH] |Coronavirus Infections/*drug therapy[MESH] |Humans[MESH] |Pandemics[MESH] |Peptidyl-Dipeptidase A/*chemistry/drug effects[MESH] |Pneumonia, Viral/*drug therapy[MESH] |Protein Conformation[MESH] |Protein Conformation, alpha-Helical[MESH]Computational Design of ACE2-Based Peptide Inhibitors of SARS-CoV-2 (epmc).pdf DeepDyve Pubget Overpricing