Selected article for: "gene sequence and peptide sequence"
Author: Ethan Fast; Russ B. Altman; Binbin Chen
Title: Potential T-cell and B-cell Epitopes of 2019-nCoV
  • Document date: 2020_2_21
    • ID: j6y806qu_15
    Snippet: We obtained 2019-nCoV (SARS-CoV-2019) and SARS-CoV ref-319 erence sequence data from NCBI GeneBank (NC_045512 and 320 NC_004718) (4, 16). We obtained viral sequences associated with 321 68 patients from GISAID on Feb 1st 2020. 322 We broke each gene sequence in 2019-nCoV into sliding windows 323 and used NetMHCpan4 (17) and MARIA (15) to predict MHC-I 324 and MHC-II presentation scores across 32 MHC alleles common 325 in the Chinese population (4.....
    Document: We obtained 2019-nCoV (SARS-CoV-2019) and SARS-CoV ref-319 erence sequence data from NCBI GeneBank (NC_045512 and 320 NC_004718) (4, 16). We obtained viral sequences associated with 321 68 patients from GISAID on Feb 1st 2020. 322 We broke each gene sequence in 2019-nCoV into sliding windows 323 and used NetMHCpan4 (17) and MARIA (15) to predict MHC-I 324 and MHC-II presentation scores across 32 MHC alleles common 325 in the Chinese population (41) . We marked a peptide sequence as 326 covered by MHC-I and MHC-II if it is presented by more then 33% 327 of constituent alleles. For validation, we applied our methodology 328 to known SARS T-cell epitopes and non-epitopes. The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.02.19.955484 doi: bioRxiv preprint reference sequence to identify mutations with edit distance analysis.

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