http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102406699-B1
Outgoing Links
Predicate | Object |
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classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C40B30-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-68 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C40B30-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-68 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B20-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B5-00 |
filingDate | 2020-03-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2022-06-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2022-06-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | KR-102406699-B1 |
titleOfInvention | Prediction system and method of artificial intelligence model based neoantigen Immunotherapeutics using molecular dynamic bigdata |
abstract | Molecular kinetics enabling the verification of immune induction against neoantigens with high binding potential by predicting MHC-antigen binding force for neoantigen candidates through molecular dynamics after calculating a neoantigen candidate group through genomic mutation. The present invention relates to a system and method for predicting induction of neoantigens based on an immune response, and the present invention relates to a method for providing neoantigen immunotherapy information for discovering neoantigens using AI-based molecular dynamics big data, (A) genomic mutation calculating a new antigen candidate group through; (B) filtering the singularities of the tissue, tissue and disease of the neoantigen candidate group; (C) predicting the neoantigen and MHC in silico binding; And (D) is performed, including the step of calculating the TCR activity ranking. According to the present invention, there is an effect that can contribute to the medical industrialization of patient-specific neoantigen prediction technology with AI deep learning convergence precision medical technology using big data in the present invention. |
priorityDate | 2019-03-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 90.