JP7668742B2 - Mhcクラスiiモデルによる新生抗原の特定 - Google Patents
Mhcクラスiiモデルによる新生抗原の特定 Download PDFInfo
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- JP7668742B2 JP7668742B2 JP2021552549A JP2021552549A JP7668742B2 JP 7668742 B2 JP7668742 B2 JP 7668742B2 JP 2021552549 A JP2021552549 A JP 2021552549A JP 2021552549 A JP2021552549 A JP 2021552549A JP 7668742 B2 JP7668742 B2 JP 7668742B2
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- allele
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- cells
- neoantigens
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61K—PREPARATIONS FOR MEDICAL, DENTAL OR TOILETRY PURPOSES
- A61K40/00—Cellular immunotherapy
- A61K40/10—Cellular immunotherapy characterised by the cell type used
- A61K40/11—T-cells, e.g. tumour infiltrating lymphocytes [TIL] or regulatory T [Treg] cells; Lymphokine-activated killer [LAK] cells
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61K—PREPARATIONS FOR MEDICAL, DENTAL OR TOILETRY PURPOSES
- A61K40/00—Cellular immunotherapy
- A61K40/30—Cellular immunotherapy characterised by the recombinant expression of specific molecules in the cells of the immune system
- A61K40/32—T-cell receptors [TCR]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61K—PREPARATIONS FOR MEDICAL, DENTAL OR TOILETRY PURPOSES
- A61K40/00—Cellular immunotherapy
- A61K40/40—Cellular immunotherapy characterised by antigens that are targeted or presented by cells of the immune system
- A61K40/41—Vertebrate antigens
- A61K40/42—Cancer antigens
- A61K40/4201—Neoantigens
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- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
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- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
- C12Q1/6883—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
- C12Q1/6886—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
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- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
- G01N33/569—Immunoassay; Biospecific binding assay; Materials therefor for microorganisms, e.g. protozoa, bacteria, viruses
- G01N33/56966—Animal cells
- G01N33/56977—HLA or MHC typing
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- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
- G01N33/575—Immunoassay; Biospecific binding assay; Materials therefor for cancer
- G01N33/5758—Immunoassay; Biospecific binding assay; Materials therefor for cancer involving compounds serving as markers for tumours, cancers or neoplasias, e.g. cellular determinants, receptors, heat shock/stress proteins, A-protein, oligosaccharides or metabolites
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- G01—MEASURING; TESTING
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- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
- G01N33/6878—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids in epitope analysis
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- G06N3/044—Recurrent networks, e.g. Hopfield networks
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- G06N3/0464—Convolutional networks [CNN, ConvNet]
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- G06N3/048—Activation functions
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- G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
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- G—PHYSICS
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- G—PHYSICS
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- G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
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- G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
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- G—PHYSICS
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- G16B35/10—Design of libraries
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- G—PHYSICS
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- G—PHYSICS
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- G16B5/00—ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks
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- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/136—Screening for pharmacological compounds
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- Molecular Biology (AREA)
- Theoretical Computer Science (AREA)
- Immunology (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Biotechnology (AREA)
- Analytical Chemistry (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Hematology (AREA)
- Urology & Nephrology (AREA)
- Pathology (AREA)
- Medical Informatics (AREA)
- Epidemiology (AREA)
- Public Health (AREA)
- Biochemistry (AREA)
- Mathematical Physics (AREA)
- Computing Systems (AREA)
- Computational Linguistics (AREA)
- Microbiology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
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- Genetics & Genomics (AREA)
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Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2025066884A JP2025114587A (ja) | 2019-03-06 | 2025-04-15 | Mhcクラスiiモデルによる新生抗原の特定 |
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201962814801P | 2019-03-06 | 2019-03-06 | |
| US62/814,801 | 2019-03-06 | ||
| US201962826822P | 2019-03-29 | 2019-03-29 | |
| US62/826,822 | 2019-03-29 | ||
| PCT/US2020/021508 WO2020181240A1 (en) | 2019-03-06 | 2020-03-06 | Identification of neoantigens with mhc class ii model |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2025066884A Division JP2025114587A (ja) | 2019-03-06 | 2025-04-15 | Mhcクラスiiモデルによる新生抗原の特定 |
Publications (4)
| Publication Number | Publication Date |
|---|---|
| JP2022524328A JP2022524328A (ja) | 2022-05-02 |
| JPWO2020181240A5 JPWO2020181240A5 (https=) | 2023-03-13 |
| JP2022524328A5 JP2022524328A5 (https=) | 2023-03-13 |
| JP7668742B2 true JP7668742B2 (ja) | 2025-04-25 |
Family
ID=72338461
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
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| JP2021552549A Active JP7668742B2 (ja) | 2019-03-06 | 2020-03-06 | Mhcクラスiiモデルによる新生抗原の特定 |
| JP2025066884A Pending JP2025114587A (ja) | 2019-03-06 | 2025-04-15 | Mhcクラスiiモデルによる新生抗原の特定 |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
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| JP2025066884A Pending JP2025114587A (ja) | 2019-03-06 | 2025-04-15 | Mhcクラスiiモデルによる新生抗原の特定 |
Country Status (10)
| Country | Link |
|---|---|
| US (1) | US20220154281A1 (https=) |
| EP (1) | EP3935071A4 (https=) |
| JP (2) | JP7668742B2 (https=) |
| KR (1) | KR20210137110A (https=) |
| CN (1) | CN113711239A (https=) |
| AU (1) | AU2020232844A1 (https=) |
| CA (1) | CA3132041A1 (https=) |
| IL (1) | IL286086A (https=) |
| TW (1) | TWI894138B (https=) |
| WO (1) | WO2020181240A1 (https=) |
Families Citing this family (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA3083097A1 (en) | 2017-11-22 | 2019-05-31 | Gritstone Oncology, Inc. | Reducing junction epitope presentation for neoantigens |
| US11848073B2 (en) * | 2019-04-03 | 2023-12-19 | University Of Central Florida Research Foundation, Inc. | Methods and system for efficient indexing for genetic genealogical discovery in large genotype databases |
| SG11202110956RA (en) | 2019-04-05 | 2021-10-28 | Rootpath Genomics Inc | Compositions and methods for t-cell receptor gene assembly |
| US11644470B2 (en) * | 2019-04-15 | 2023-05-09 | Bioinformatics Solutions Inc. | Systems and methods for de novo peptide sequencing using deep learning and spectrum pairs |
| US11727284B2 (en) * | 2019-12-12 | 2023-08-15 | Business Objects Software Ltd | Interpretation of machine learning results using feature analysis |
| WO2022087380A1 (en) * | 2020-10-23 | 2022-04-28 | Rootpath Genomics, Inc. | Compositions and methods for t-cell receptor identification |
| CN112910288B (zh) * | 2020-12-08 | 2022-08-09 | 上海交通大学 | 一种基于逆变器散热器温度预测的过温预警方法 |
| CN113255690B (zh) * | 2021-04-15 | 2022-04-12 | 南昌大学 | 一种基于轻量级卷积神经网络的复合绝缘子憎水性检测方法 |
| CN113160887B (zh) * | 2021-04-23 | 2022-06-14 | 哈尔滨工业大学 | 一种融合了单细胞tcr测序数据的肿瘤新生抗原筛选方法 |
| CN116264103A (zh) * | 2021-12-14 | 2023-06-16 | 深圳华大基因股份有限公司 | 构建机器学习模型的方法、系统及用途 |
| CN114023387B (zh) * | 2022-01-05 | 2022-04-22 | 山东建筑大学 | 一种基于卷积神经网络的细胞反卷积预测方法 |
| WO2023146978A2 (en) * | 2022-01-26 | 2023-08-03 | Memorial Sloan-Kettering Cancer Center | Systems and methods for determining t-cell cross-reactivity between antigens |
| CN114446385B (zh) * | 2022-01-29 | 2024-08-13 | 杭州纽安津生物科技有限公司 | Hla ii型分子与多肽的亲和力预测模型的获取方法及装置 |
| WO2023172633A1 (en) * | 2022-03-08 | 2023-09-14 | Avalo, Inc. | System and method for genomic association |
| WO2023215358A1 (en) * | 2022-05-03 | 2023-11-09 | 3T Biosciences, Inc. | T-cell target discovery |
| CN115295084B (zh) * | 2022-08-05 | 2026-03-17 | 南开大学 | 一种肿瘤新抗原免疫组库数据可视化分析方法和系统 |
| EP4570907A1 (en) * | 2022-08-08 | 2025-06-18 | Sapporo Medical University | Method for selecting subject-derived neoantigen |
| AU2023321890A1 (en) * | 2022-08-12 | 2025-02-27 | Biontech Us Inc. | Methods and systems for prediction of hla epitopes |
| EP4680270A1 (en) * | 2023-03-13 | 2026-01-21 | Seattle Project Corp. | Epitope prediction via a learned genotype network across class ii mhc alleles |
| CN116469457B (zh) * | 2023-06-14 | 2023-10-13 | 普瑞基准科技(北京)有限公司 | Mhc与抗原多肽结合、呈递及免疫原性的预测模型训练方法和装置 |
| CN117912568B (zh) * | 2024-01-05 | 2024-08-06 | 中山大学 | H9n2亚型禽流感毒株抗原性快速鉴别方法及装置 |
| CN120089201B (zh) * | 2025-04-30 | 2025-07-04 | 广东省农业科学院动物卫生研究所 | 一种基于深度学习的通用表位多肽筛选方法和系统 |
| CN120600110B (zh) * | 2025-08-06 | 2025-12-09 | 上海交通大学医学院附属仁济医院 | 基于人工智能的多变病原t细胞表位精准筛选方法 |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016521128A (ja) | 2013-05-10 | 2016-07-21 | バイオエヌテック アーゲーBioNTech AG | T細胞エピトープの免疫原性の予測 |
| WO2018195357A1 (en) | 2017-04-19 | 2018-10-25 | Gritstone Oncology, Inc. | Neoantigen identification, manufacture, and use |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107002038B (zh) * | 2014-09-17 | 2021-10-15 | 约翰·霍普金斯大学 | 用于识别、富集和/或扩增抗原特异性t细胞的试剂和方法 |
| RU2729116C2 (ru) * | 2015-12-16 | 2020-08-04 | Гритстоун Онколоджи, Инк. | Идентификация, производство и применение неоантигенов |
| WO2017194170A1 (en) * | 2016-05-13 | 2017-11-16 | Biontech Rna Pharmaceuticals Gmbh | Methods for predicting the usefulness of proteins or protein fragments for immunotherapy |
| CN109145927A (zh) * | 2017-06-16 | 2019-01-04 | 杭州海康威视数字技术股份有限公司 | 一种对形变图像的目标识别方法及装置 |
-
2020
- 2020-03-06 TW TW109107542A patent/TWI894138B/zh active
- 2020-03-06 CA CA3132041A patent/CA3132041A1/en active Pending
- 2020-03-06 EP EP20765932.7A patent/EP3935071A4/en active Pending
- 2020-03-06 US US17/436,367 patent/US20220154281A1/en active Pending
- 2020-03-06 JP JP2021552549A patent/JP7668742B2/ja active Active
- 2020-03-06 WO PCT/US2020/021508 patent/WO2020181240A1/en not_active Ceased
- 2020-03-06 KR KR1020217031933A patent/KR20210137110A/ko active Pending
- 2020-03-06 AU AU2020232844A patent/AU2020232844A1/en active Pending
- 2020-03-06 CN CN202080028058.0A patent/CN113711239A/zh active Pending
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2021
- 2021-09-02 IL IL286086A patent/IL286086A/en unknown
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2025
- 2025-04-15 JP JP2025066884A patent/JP2025114587A/ja active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016521128A (ja) | 2013-05-10 | 2016-07-21 | バイオエヌテック アーゲーBioNTech AG | T細胞エピトープの免疫原性の予測 |
| WO2018195357A1 (en) | 2017-04-19 | 2018-10-25 | Gritstone Oncology, Inc. | Neoantigen identification, manufacture, and use |
Non-Patent Citations (4)
| Title |
|---|
| Deep learning using tumor HLA peptide mass spectrometory datasets improves neoantigen identification,Nature Biotechnology,2018年12月17日,Vol.37, No.1,p.55-63 |
| Immunogenetics,2015年,Vol.67,p.641-650 |
| Isolation and characterization of an HLA-DPB1*04:01-restricted MAGE-A3 T cell receptor for cancer immunotherapy,J. Immunotherapy,2016年,Vol.39, No.5,p.191-201 |
| Machine learning mdethods for predicting HLA-peptide binding activity.,Bioinfomatics and Biology Insights,2015年,Vol.9 (S3),p.21-29 |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2025114587A (ja) | 2025-08-05 |
| TW202100168A (zh) | 2021-01-01 |
| EP3935071A4 (en) | 2022-12-21 |
| JP2022524328A (ja) | 2022-05-02 |
| KR20210137110A (ko) | 2021-11-17 |
| US20220154281A1 (en) | 2022-05-19 |
| AU2020232844A1 (en) | 2021-10-28 |
| IL286086A (en) | 2021-10-31 |
| WO2020181240A8 (en) | 2021-09-16 |
| CN113711239A (zh) | 2021-11-26 |
| CA3132041A1 (en) | 2020-09-10 |
| WO2020181240A1 (en) | 2020-09-10 |
| EP3935071A1 (en) | 2022-01-12 |
| TWI894138B (zh) | 2025-08-21 |
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