| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_59e1d955a7b1560dc68cf7fd800e8fac |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N7-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B35-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 |
| filingDate |
2020-06-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c0f45604b7b6db401f74aafc1192ab55
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_488aa9408fe893d0be189bdc01ccd115
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e194daaff261b48cbb2f9dae9189e07f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3d08569338ec041b7375f0bba38712ab
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_64c5ebb8c0067987ef56c16af0bd3ec0
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c3d1b820809ed7b9dd09cbd0ce8402f8 |
| publicationDate |
2022-08-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2022253669-A1 |
| titleOfInvention |
Information processing system, information processing method, program, and method for producing antigen-binding molecule or protein |
| abstract |
A sequence learner performs machine learning on the basis of sequence information representing sequences including some or all of the sequences of a plurality of antigen-binding molecules and proteins and thereby generates a trained model. A virtual sequence generator generates, on the basis of the trained model, virtual sequence information obtained by mutating at least one of constituent elements constituting a sequence represented by the sequence information inputted into the trained model. |
| priorityDate |
2019-06-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |