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10.1007/978-1-0716-0389-5_4 http://scihub22266oqcxt.onion/10.1007/978-1-0716-0389-5_4 32162250!7121163!32162250     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       Methods+Mol+Biol 2020 ; 2131 (ä): 39-145 Nephropedia Template TP {{tp|p=32162250|t=2020. A Computational Vaccine Designing Approach for MERS-CoV Infections |pdf=|usr=}}{{32162250}} gab.com Text A Computational Vaccine Designing Approach for MERS-CoV Infections JO: Methods Mol Biol http://www.kidney.de/pget.php?&tw=1&pmid=32162250 #FOAvip The aim of this study was to use IEDB software to predict the suitable MERS-CoV epitope vaccine against the most known world population alleles through four selecting proteins such as S glycoprotein and envelope protein and their modification sequences after the pandemic spread of MERS-CoV in 2012. IEDB services is one of the computational methods; the output of this study showed that S glycoprotein, envelope (E) protein, and S and E protein modified sequences of MERS-CoV might be considered as a protective immunogenic with high conservancy because they can elect both neutralizing antibodies and T-cell responses when reacting with B-cell, T-helper cell, and cytotoxic T lymphocyte. NetCTL, NetChop, and MHC-NP were used to confirm our results. Population coverage analysis showed that the putative helper T-cell epitopes and CTL epitopes could cover most of the world population in more than 60 geographical regions. According to AllerHunter results, all those selected different protein showed non-allergen; this finding makes this computational vaccine study more desirable for vaccine synthesis. Twit Text FOAVip A Computational Vaccine Designing Approach for MERS-CoV Infections ????Methods Mol Biol http://www.kidney.de/pget.php?&tw=1&pmid=32162250 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32162250 #FOAvip English Wikipedia <ref>{{Cite pmid|32162250}}</ref> A Computational Vaccine Designing Approach for MERS-CoV Infections #MMPMID32162250 Ibrahim HS; Kafi SK Methods Mol Biol 2020[]; 2131 (ä): 39-145 PMID32162250show ga The aim of this study was to use IEDB software to predict the suitable MERS-CoV epitope vaccine against the most known world population alleles through four selecting proteins such as S glycoprotein and envelope protein and their modification sequences after the pandemic spread of MERS-CoV in 2012. IEDB services is one of the computational methods; the output of this study showed that S glycoprotein, envelope (E) protein, and S and E protein modified sequences of MERS-CoV might be considered as a protective immunogenic with high conservancy because they can elect both neutralizing antibodies and T-cell responses when reacting with B-cell, T-helper cell, and cytotoxic T lymphocyte. NetCTL, NetChop, and MHC-NP were used to confirm our results. Population coverage analysis showed that the putative helper T-cell epitopes and CTL epitopes could cover most of the world population in more than 60 geographical regions. According to AllerHunter results, all those selected different protein showed non-allergen; this finding makes this computational vaccine study more desirable for vaccine synthesis. |*Software[MESH] |Antibodies, Neutralizing/immunology[MESH] |Antibodies, Viral/*immunology[MESH] |B-Lymphocytes/immunology[MESH] |Coronavirus Infections/*prevention & control/virology[MESH] |Databases, Genetic[MESH] |Epitopes/genetics/immunology[MESH] |Humans[MESH] |Middle East Respiratory Syndrome Coronavirus/genetics/*immunology[MESH] |Mutation[MESH] |Peptides/genetics/immunology[MESH] |Spike Glycoprotein, Coronavirus/genetics/*immunology[MESH] |T-Lymphocytes, Cytotoxic/immunology[MESH] |T-Lymphocytes, Helper-Inducer/immunology[MESH] |Vaccines, Synthetic/immunology[MESH] |Viral Envelope Proteins/genetics/*immunology[MESH]A Computational Vaccine Designing Approach for MERS-CoV Infections (epmc).pdf DeepDyve Pubget Overpricing