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10.1016/j.ijbiomac.2020.07.117 http://scihub22266oqcxt.onion/10.1016/j.ijbiomac.2020.07.117 32682041!7362859!32682041     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Biol+Macromol 2020 ; 164 (ä): 871-883 Nephropedia Template TP {{tp|p=32682041|t=2020. Design of a multi-epitope vaccine against SARS-CoV-2 using immunoinformatics approach |pdf=|usr=}}{{32682041}} gab.com Text Design of a multi-epitope vaccine against SARS-CoV-2 using immunoinformatics approach JO: Int J Biol Macromol http://www.kidney.de/pget.php?&tw=1&pmid=32682041 #FOAvip Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused COVID-19 disease in China. So far, no vaccine has licensed to protect against infection with COVID-19, therefore an effective COVID-19 vaccine needed. The aim of this study was to predict antigenic peptides of SARS-CoV-2 for designing the COVID-19 vaccine using immunoinformatic analysis. In this study, T and B-cell epitopes of S protein were predicted and screened based on the antigenicity, toxicity, allergenicity, and cross-reactivity with human proteomes. The epitopes were joined by the appropriate linker. LT-IIc as an adjuvant was attached to the end of the structure. The secondary and 3D structure of the vaccine was predicted. The refinement process was performed to improve the quality of the 3D model structure; the validation process is performed using the Ramachandran plot and ProSA z-score. The proposed vaccine's binding affinity to the HLA-A11:01 and HLA-DRB1_01:01 molecule was evaluated by molecular docking. Using molecular dynamics, the stability of vaccine-HLA complexes was also evaluated. Finally, in silico gene cloning was performed in the pET30a (+) vector. The findings suggest that the current vaccine may be a promising vaccine to prevent SARS-CoV-2 infection. Twit Text FOAVip Design of a multi-epitope vaccine against SARS-CoV-2 using immunoinformatics approach ????Int J Biol Macromol http://www.kidney.de/pget.php?&tw=1&pmid=32682041 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32682041 #FOAvip English Wikipedia <ref>{{Cite pmid|32682041}}</ref> Design of a multi-epitope vaccine against SARS-CoV-2 using immunoinformatics approach #MMPMID32682041 Sanami S; Zandi M; Pourhossein B; Mobini GR; Safaei M; Abed A; Arvejeh PM; Chermahini FA; Alizadeh M Int J Biol Macromol 2020[Dec]; 164 (ä): 871-883 PMID32682041show ga Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused COVID-19 disease in China. So far, no vaccine has licensed to protect against infection with COVID-19, therefore an effective COVID-19 vaccine needed. The aim of this study was to predict antigenic peptides of SARS-CoV-2 for designing the COVID-19 vaccine using immunoinformatic analysis. In this study, T and B-cell epitopes of S protein were predicted and screened based on the antigenicity, toxicity, allergenicity, and cross-reactivity with human proteomes. The epitopes were joined by the appropriate linker. LT-IIc as an adjuvant was attached to the end of the structure. The secondary and 3D structure of the vaccine was predicted. The refinement process was performed to improve the quality of the 3D model structure; the validation process is performed using the Ramachandran plot and ProSA z-score. The proposed vaccine's binding affinity to the HLA-A11:01 and HLA-DRB1_01:01 molecule was evaluated by molecular docking. Using molecular dynamics, the stability of vaccine-HLA complexes was also evaluated. Finally, in silico gene cloning was performed in the pET30a (+) vector. The findings suggest that the current vaccine may be a promising vaccine to prevent SARS-CoV-2 infection. |Amino Acid Sequence[MESH] |Betacoronavirus/*immunology[MESH] |COVID-19[MESH] |COVID-19 Vaccines[MESH] |Coronavirus Infections/immunology/*prevention & control/virology[MESH] |Epitopes, B-Lymphocyte/immunology[MESH] |Epitopes, T-Lymphocyte/chemistry[MESH] |Epitopes/*chemistry/immunology[MESH] |Humans[MESH] |Molecular Docking Simulation[MESH] |Molecular Dynamics Simulation[MESH] |Pandemics/*prevention & control[MESH] |Pneumonia, Viral/immunology/*prevention & control/virology[MESH] |Protein Conformation[MESH] |SARS-CoV-2[MESH] |Spike Glycoprotein, Coronavirus/chemistry/immunology[MESH]Design of a multi-epitope vaccine against SARS-CoV-2 using immunoinfor(epmc).pdf DeepDyve Pubget Overpricing