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10.1016/j.cels.2020.06.009 http://scihub22266oqcxt.onion/10.1016/j.cels.2020.06.009 32721383!7384425!32721383     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cell+Syst 2020 ; 11 (2): 131-144.e6 Nephropedia Template TP {{tp|p=32721383|t=2020. Computationally Optimized SARS-CoV-2 MHC Class I and II Vaccine Formulations Predicted to Target Human Haplotype Distributions |pdf=|usr=}}{{32721383}} gab.com Text Computationally Optimized SARS-CoV-2 MHC Class I and II Vaccine Formulations Predicted to Target Human Haplotype Distributions JO: Cell Syst http://www.kidney.de/pget.php?&tw=1&pmid=32721383 #FOAvip We present a combinatorial machine learning method to evaluate and optimize peptide vaccine formulations for SARS-CoV-2. Our approach optimizes the presentation likelihood of a diverse set of vaccine peptides conditioned on a target human-population HLA haplotype distribution and expected epitope drift. Our proposed SARS-CoV-2 MHC class I vaccine formulations provide 93.21% predicted population coverage with at least five vaccine peptide-HLA average hits per person (>/= 1 peptide: 99.91%) with all vaccine peptides perfectly conserved across 4,690 geographically sampled SARS-CoV-2 genomes. Our proposed MHC class II vaccine formulations provide 97.21% predicted coverage with at least five vaccine peptide-HLA average hits per person with all peptides having an observed mutation probability of </= 0.001. We provide an open-source implementation of our design methods (OptiVax), vaccine evaluation tool (EvalVax), as well as the data used in our design efforts here: https://github.com/gifford-lab/optivax. Twit Text FOAVip Computationally Optimized SARS-CoV-2 MHC Class I and II Vaccine Formulations Predicted to Target Human Haplotype Distributions ????Cell Syst http://www.kidney.de/pget.php?&tw=1&pmid=32721383 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32721383 #FOAvip English Wikipedia <ref>{{Cite pmid|32721383}}</ref> Computationally Optimized SARS-CoV-2 MHC Class I and II Vaccine Formulations Predicted to Target Human Haplotype Distributions #MMPMID32721383 Liu G; Carter B; Bricken T; Jain S; Viard M; Carrington M; Gifford DK Cell Syst 2020[Aug]; 11 (2): 131-144.e6 PMID32721383show ga We present a combinatorial machine learning method to evaluate and optimize peptide vaccine formulations for SARS-CoV-2. Our approach optimizes the presentation likelihood of a diverse set of vaccine peptides conditioned on a target human-population HLA haplotype distribution and expected epitope drift. Our proposed SARS-CoV-2 MHC class I vaccine formulations provide 93.21% predicted population coverage with at least five vaccine peptide-HLA average hits per person (>/= 1 peptide: 99.91%) with all vaccine peptides perfectly conserved across 4,690 geographically sampled SARS-CoV-2 genomes. Our proposed MHC class II vaccine formulations provide 97.21% predicted coverage with at least five vaccine peptide-HLA average hits per person with all peptides having an observed mutation probability of |*Haplotypes[MESH] |Betacoronavirus/genetics/*immunology[MESH] |COVID-19 Vaccines[MESH] |Coronavirus Infections/genetics/immunology/prevention & control[MESH] |Epitopes/chemistry/genetics/immunology[MESH] |Histocompatibility Antigens Class I/chemistry/*genetics/immunology[MESH] |Histocompatibility Antigens Class II/chemistry/*genetics/immunology[MESH] |Humans[MESH] |Machine Learning[MESH] |SARS-CoV-2[MESH] |Sequence Analysis, DNA/*methods/standards[MESH] |Vaccines, Subunit/chemistry/genetics/*immunology[MESH]Computationally Optimized SARS-CoV-2 MHC Class I and II Vaccine Formul(epmc).pdf DeepDyve Pubget Overpricing