| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_865c00c85a8589f654885fb54ce2cb26 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-158
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-156 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-6878
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6886
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-56977
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-574
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B5-20
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/G16B50-30 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61K35-13
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-68
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-574 |
| filingDate |
2018-10-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5428abfc3b40a1ed91a7e68e46347805
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a7bf9117823b1e84491c02160ef553b2
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e00d9534338eb36cbf07b8a67605c0df |
| publicationDate |
2020-08-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
EP-3694532-A1 |
| titleOfInvention |
Neoantigen identification using hotspots |
| abstract |
The invention relates to a method for identifying neo-antigens that can be presented on a surface of tumor cells in an individual. Peptide sequences of tumor neo-antigens are obtained by sequencing the tumor cells of the individual. The peptide sequence of each of the neo-antigens is associated with at least one k-mer block of a plurality of k-mer blocks of the individual's nucleotide sequencing data; peptide sequences and associated k-mer blocks are entered into a machine-learned presentation model to generate presentation probabilities for tumor neo-antigens, with each presentation probability representing the probability that a neo-antigen is presented by a MHC allele on the surfaces of tumor cells of the individual. A subset of the neo-antigens is selected based on the presentation probabilities. |
| priorityDate |
2017-10-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |