| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ad2327b506617e5b7d4a0d91036f00cd |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-156
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-158 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-574
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-56977
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6886
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B5-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B30-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-6878
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B50-30 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-6886
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-68
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-574
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-569
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-50 |
| filingDate |
2019-05-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2022-03-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4f9e0a571ab868a92850179a7f42921f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_23b1b9593e05ff9d7acbb8ee3de9e082
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8efc01e6bf0b6bdcb327483f8539dc94 |
| publicationDate |
2022-03-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-11264117-B2 |
| titleOfInvention |
Neoantigen identification using hotspots |
| abstract |
A method for identifying neoantigens that are likely to be presented on a surface of tumor cells of a subject. Peptide sequences of tumor neoantigens are obtained by sequencing the tumor cells of the subject. The peptide sequence of each of the neoantigens is associated with one or more k-mer blocks of a plurality of k-mer blocks of the nucleotide sequencing data of the subject; The peptide sequences and the associated k-mer blocks are input into a machine-learned presentation model to generate presentation likelihoods for the tumor neoantigens, each presentation likelihood representing the likelihood that a neoantigen is presented by an MHC allele on the surfaces of the tumor cells of the subject. A subset of the neoantigens is selected based on the presentation likelihoods. |
| priorityDate |
2017-10-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |