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10.3389/fimmu.2020.01663 http://scihub22266oqcxt.onion/10.3389/fimmu.2020.01663 32754160!7365865!32754160     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       Front+Immunol 2020 ; 11 (ä): 1663 Nephropedia Template TP {{tp|p=32754160|t=2020. Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Disease 2019 (COVID-19) by Employing Immuno-Informatics Approach |pdf=|usr=}}{{32754160}} gab.com Text Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Disease 2019 (COVID-19) by Employing Immuno-Informatics Approach JO: Front Immunol http://www.kidney.de/pget.php?&tw=1&pmid=32754160 #FOAvip A recent pandemic caused by a single-stranded RNA virus, COVID-19, initially discovered in China, is now spreading globally. This poses a serious threat that needs to be addressed immediately. Genome analysis of SARS-CoV-2 has revealed its close relation to SARS-coronavirus along with few changes in its spike protein. The spike protein aids in receptor binding and viral entry within the host and therefore represents a potential target for vaccine and therapeutic development. In the current study, the spike protein of SARS-CoV-2 was explored for potential immunogenic epitopes to design multi-epitope vaccine constructs. The S1 and S2 domains of spike proteins were analyzed, and two vaccine constructs were prioritized with T-cell and B-cell epitopes. We adapted a comprehensive predictive framework to provide novel insights into immunogenic epitopes of spike proteins, which can further be evaluated as potential vaccine candidates against COVID-19. Prioritized epitopes were then modeled using linkers and adjuvants, and respective 3D models were constructed to evaluate their physiochemical properties and their possible interactions with ACE2, HLA Superfamily alleles, TLR2, and TLR4. Twit Text FOAVip Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Disease 2019 (COVID-19) by Employing Immuno-Informatics Approach ????Front Immunol http://www.kidney.de/pget.php?&tw=1&pmid=32754160 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32754160 #FOAvip English Wikipedia <ref>{{Cite pmid|32754160}}</ref> Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Disease 2019 (COVID-19) by Employing Immuno-Informatics Approach #MMPMID32754160 Naz A; Shahid F; Butt TT; Awan FM; Ali A; Malik A Front Immunol 2020[]; 11 (ä): 1663 PMID32754160show ga A recent pandemic caused by a single-stranded RNA virus, COVID-19, initially discovered in China, is now spreading globally. This poses a serious threat that needs to be addressed immediately. Genome analysis of SARS-CoV-2 has revealed its close relation to SARS-coronavirus along with few changes in its spike protein. The spike protein aids in receptor binding and viral entry within the host and therefore represents a potential target for vaccine and therapeutic development. In the current study, the spike protein of SARS-CoV-2 was explored for potential immunogenic epitopes to design multi-epitope vaccine constructs. The S1 and S2 domains of spike proteins were analyzed, and two vaccine constructs were prioritized with T-cell and B-cell epitopes. We adapted a comprehensive predictive framework to provide novel insights into immunogenic epitopes of spike proteins, which can further be evaluated as potential vaccine candidates against COVID-19. Prioritized epitopes were then modeled using linkers and adjuvants, and respective 3D models were constructed to evaluate their physiochemical properties and their possible interactions with ACE2, HLA Superfamily alleles, TLR2, and TLR4. |Amino Acid Sequence[MESH] |Angiotensin-Converting Enzyme 2[MESH] |Betacoronavirus/*immunology[MESH] |COVID-19[MESH] |Coronavirus Infections/*immunology/*prevention & control/virology[MESH] |Epitopes, B-Lymphocyte/chemistry/*immunology[MESH] |Epitopes, T-Lymphocyte/chemistry/*immunology[MESH] |HLA Antigens/chemistry/immunology[MESH] |Humans[MESH] |Models, Chemical[MESH] |Molecular Docking Simulation[MESH] |Pandemics/*prevention & control[MESH] |Peptidyl-Dipeptidase A/chemistry/immunology[MESH] |Pneumonia, Viral/*immunology/*prevention & control/virology[MESH] |Protein Structure, Secondary[MESH] |Protein Structure, Tertiary[MESH] |SARS-CoV-2[MESH] |Spike Glycoprotein, Coronavirus/immunology[MESH] |Toll-Like Receptor 2/chemistry/immunology[MESH] |Toll-Like Receptor 4/chemistry/immunology[MESH]Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Diseas(epmc).pdf DeepDyve Pubget Overpricing