AU2019227813B2 - Neoantigen identification with pan-allele models - Google Patents
Neoantigen identification with pan-allele models Download PDFInfo
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- AU2019227813B2 AU2019227813B2 AU2019227813A AU2019227813A AU2019227813B2 AU 2019227813 B2 AU2019227813 B2 AU 2019227813B2 AU 2019227813 A AU2019227813 A AU 2019227813A AU 2019227813 A AU2019227813 A AU 2019227813A AU 2019227813 B2 AU2019227813 B2 AU 2019227813B2
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- Australia
- Prior art keywords
- allele
- peptide
- mhc
- presentation
- neoantigens
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
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- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- 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
- 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
- C12Q1/6869—Methods for sequencing
-
- C—CHEMISTRY; METALLURGY
- C40—COMBINATORIAL TECHNOLOGY
- C40B—COMBINATORIAL CHEMISTRY; LIBRARIES, e.g. CHEMICAL LIBRARIES
- C40B30/00—Methods of screening libraries
- C40B30/04—Methods of screening libraries by measuring the ability to specifically bind a target molecule, e.g. antibody-antigen binding, receptor-ligand binding
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- 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
- G01N33/6803—General methods of protein analysis not limited to specific proteins or families of proteins
- G01N33/6848—Methods of protein analysis involving mass spectrometry
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
- G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
- G16B30/10—Sequence alignment; Homology search
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
- G16B30/20—Sequence assembly
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
- G16B40/20—Supervised data analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
- G01N2333/435—Assays involving biological materials from specific organisms or of a specific nature from animals; from humans
- G01N2333/705—Assays involving receptors, cell surface antigens or cell surface determinants
- G01N2333/70503—Immunoglobulin superfamily, e.g. VCAMs, PECAM, LFA-3
- G01N2333/70539—MHC-molecules, e.g. HLA-molecules
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Biophysics (AREA)
- Biotechnology (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Evolutionary Biology (AREA)
- Theoretical Computer Science (AREA)
- Organic Chemistry (AREA)
- Analytical Chemistry (AREA)
- Immunology (AREA)
- Data Mining & Analysis (AREA)
- Biochemistry (AREA)
- Genetics & Genomics (AREA)
- Evolutionary Computation (AREA)
- Public Health (AREA)
- Epidemiology (AREA)
- Databases & Information Systems (AREA)
- Artificial Intelligence (AREA)
- Bioethics (AREA)
- Software Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medicinal Chemistry (AREA)
- Hematology (AREA)
- Wood Science & Technology (AREA)
- Microbiology (AREA)
- Urology & Nephrology (AREA)
- Zoology (AREA)
- Biomedical Technology (AREA)
- General Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Cell Biology (AREA)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2024220070A AU2024220070A1 (en) | 2018-02-27 | 2024-09-25 | Neoantigen identification with pan-allele models |
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862636061P | 2018-02-27 | 2018-02-27 | |
| US62/636,061 | 2018-02-27 | ||
| PCT/US2019/019836 WO2019168984A1 (en) | 2018-02-27 | 2019-02-27 | Neoantigen identification with pan-allele models |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2024220070A Division AU2024220070A1 (en) | 2018-02-27 | 2024-09-25 | Neoantigen identification with pan-allele models |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| AU2019227813A1 AU2019227813A1 (en) | 2020-10-01 |
| AU2019227813B2 true AU2019227813B2 (en) | 2024-06-27 |
Family
ID=67806416
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2019227813A Active AU2019227813B2 (en) | 2018-02-27 | 2019-02-27 | Neoantigen identification with pan-allele models |
| AU2024220070A Pending AU2024220070A1 (en) | 2018-02-27 | 2024-09-25 | Neoantigen identification with pan-allele models |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2024220070A Pending AU2024220070A1 (en) | 2018-02-27 | 2024-09-25 | Neoantigen identification with pan-allele models |
Country Status (10)
| Country | Link |
|---|---|
| US (1) | US20200411135A1 (https=) |
| EP (1) | EP3759131A4 (https=) |
| JP (1) | JP7480064B2 (https=) |
| KR (2) | KR102930070B1 (https=) |
| CN (2) | CN119851752A (https=) |
| AU (2) | AU2019227813B2 (https=) |
| CA (1) | CA3091917A1 (https=) |
| IL (1) | IL276839A (https=) |
| TW (1) | TW202000693A (https=) |
| WO (1) | WO2019168984A1 (https=) |
Families Citing this family (44)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105190656B (zh) | 2013-01-17 | 2018-01-16 | 佩索纳里斯公司 | 用于遗传分析的方法和系统 |
| WO2014180490A1 (en) | 2013-05-10 | 2014-11-13 | Biontech Ag | Predicting immunogenicity of t cell epitopes |
| US10125399B2 (en) | 2014-10-30 | 2018-11-13 | Personalis, Inc. | Methods for using mosaicism in nucleic acids sampled distal to their origin |
| WO2016128060A1 (en) | 2015-02-12 | 2016-08-18 | Biontech Ag | Predicting t cell epitopes useful for vaccination |
| 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 |
| US11299783B2 (en) | 2016-05-27 | 2022-04-12 | Personalis, Inc. | Methods and systems for genetic analysis |
| WO2018224166A1 (en) | 2017-06-09 | 2018-12-13 | Biontech Rna Pharmaceuticals Gmbh | Methods for predicting the usefulness of disease specific amino acid modifications for immunotherapy |
| KR20260039788A (ko) | 2017-10-10 | 2026-03-20 | 시애틀 프로젝트 코포레이션 | 핫스팟을 이용한 신생항원 동정 |
| CA3083097A1 (en) | 2017-11-22 | 2019-05-31 | Gritstone Oncology, Inc. | Reducing junction epitope presentation for neoantigens |
| BR112020025764A2 (pt) | 2018-06-19 | 2021-05-11 | Biontech Us Inc. | neoantígenos e usos dos mesmos |
| EP4028763A1 (en) * | 2019-09-13 | 2022-07-20 | Evaxion Biotech A/S | Method for identifying t-cell epitopes |
| EP4055610A4 (en) | 2019-11-05 | 2023-11-29 | Personalis, Inc. | ESTIMATION OF TUMOR PURITY FROM SINGLE SAMPLES |
| WO2021091541A1 (en) * | 2019-11-05 | 2021-05-14 | Kri Technologies Incorporated | Identifying cancer neoantigens for personalized cancer immunotherapy |
| CN114929899B (zh) * | 2020-01-07 | 2026-03-10 | 韩国科学技术院 | 一种新抗原的筛选方法、系统及其用途 |
| EP4168569A4 (en) * | 2020-06-18 | 2024-08-07 | Personalis, Inc. | Machine-learning techniques for predicting surface-presenting peptides |
| CN111798919B (zh) * | 2020-06-24 | 2022-11-25 | 上海交通大学 | 一种肿瘤新抗原预测方法、预测装置及存储介质 |
| WO2022013154A1 (en) * | 2020-07-14 | 2022-01-20 | Myneo Nv | Method, system and computer program product for determining presentation likelihoods of neoantigens |
| EP4192941A1 (en) | 2020-08-07 | 2023-06-14 | Neogene Therapeutics B.V. | Methods to enrich genetically engineered t cells |
| AU2021325082A1 (en) * | 2020-08-13 | 2023-04-20 | Biontech Us Inc. | RAS neoantigens and uses thereof |
| WO2022047085A1 (en) * | 2020-08-26 | 2022-03-03 | NanoMosaic INC. | Sensors for unbiased proteomic studies, method of manufacture and use thereof |
| CN112509641B (zh) * | 2020-12-04 | 2022-04-08 | 河北环境工程学院 | 一种基于深度学习监测抗生素与金属联合产物的智能方法 |
| WO2022121973A1 (zh) * | 2020-12-09 | 2022-06-16 | 江苏恒瑞医药股份有限公司 | 基于机器学习的肽免疫原性预测、鉴别系统及方法 |
| US12567480B2 (en) * | 2021-01-19 | 2026-03-03 | Amazon Technologies, Inc. | Deep learning model for predicting tumor-specific neoantigen MHC class I or class II immunogenicity |
| JP2024508677A (ja) * | 2021-02-05 | 2024-02-28 | アマゾン テクノロジーズ インコーポレイテッド | 個別化がんワクチン用ネオアンチゲンのランク付け |
| KR102769935B1 (ko) * | 2021-03-30 | 2025-02-19 | 한국과학기술원 | 펩타이드-mhc에 대한 t 세포 활성의 예측 방법 및 분석장치 |
| 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 |
| WO2022224336A1 (ja) * | 2021-04-20 | 2022-10-27 | 富士通株式会社 | 情報処理プログラム、情報処理方法および情報処理装置 |
| CA3216276A1 (en) | 2021-04-29 | 2022-11-03 | Yardena Samuels | T cell receptors directed against ras-derived recurrent neoantigens and methods of identifying same |
| CN113409888A (zh) * | 2021-06-21 | 2021-09-17 | 中国科学院自动化研究所 | 一种肿瘤微环境及肿瘤基因突变检测系统、方法及设备 |
| JP7627826B2 (ja) * | 2021-08-10 | 2025-02-07 | 日本電気株式会社 | 情報処理システム及び情報処理方法 |
| EP4148146A1 (en) | 2021-09-13 | 2023-03-15 | OncoDNA | Method to generate personalized neoantigens of a tumor of a patient |
| JP2024533501A (ja) | 2021-09-13 | 2024-09-12 | オンコディーエヌエー | 患者の腫瘍の個別化された新生抗原を生成する方法 |
| EP4413580A4 (en) | 2021-10-05 | 2025-08-13 | Personalis Inc | PERSONALIZED TESTS FOR PERSONALIZED CANCER MONITORING |
| CA3246299A1 (en) * | 2022-04-08 | 2023-10-12 | Seattle Project Corp. | ANTIGEN PREDICTIONS FOR EPITOPES DERIVED FROM INFECTIOUS DISEASES |
| CN114821176B (zh) * | 2022-04-28 | 2022-11-01 | 浙江大学 | 一种儿童脑部mr图像病毒性脑炎分类系统 |
| CN114997303B (zh) * | 2022-05-30 | 2025-06-13 | 杭州电子科技大学 | 一种基于深度学习的膀胱癌代谢标志物筛选方法及系统 |
| WO2024015892A1 (en) * | 2022-07-13 | 2024-01-18 | The Broad Institute, Inc. | Hla-ii immunopeptidome methods and systems for antigen discovery |
| AU2023321890A1 (en) * | 2022-08-12 | 2025-02-27 | Biontech Us Inc. | Methods and systems for prediction of hla epitopes |
| KR102694428B1 (ko) * | 2023-02-01 | 2024-08-13 | 충남대학교산학협력단 | 데이터 증강 방법 및 이를 이용한 양성 에피토프 예측 모델 생성 방법 |
| CN116580771A (zh) * | 2023-02-20 | 2023-08-11 | 清华大学 | 预测肿瘤新抗原的方法和装置 |
| 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 |
| CN116453599B (zh) * | 2023-06-19 | 2024-03-19 | 深圳大学 | 开放阅读框预测方法、设备及存储介质 |
| WO2025160446A1 (en) * | 2024-01-25 | 2025-07-31 | Ai Proteins, Inc. | Methods and systems for characterizing structural features of a protein |
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| US4452773A (en) | 1982-04-05 | 1984-06-05 | Canadian Patents And Development Limited | Magnetic iron-dextran microspheres |
| US4795698A (en) | 1985-10-04 | 1989-01-03 | Immunicon Corporation | Magnetic-polymer particles |
| US5204244A (en) | 1987-10-27 | 1993-04-20 | Oncogen | Production of chimeric antibodies by homologous recombination |
| ES2067018T3 (es) | 1988-12-28 | 1995-03-16 | Stefan Miltenyi | Procedimiento y materiales para la separacion en alto gradiente magnetico de materiales biologicos. |
| DE69133064T2 (de) | 1990-02-26 | 2003-03-06 | The Board Of Trustees Of The Leland Stanford Junior University, Stanford | Identifizierung und expression von insekten-steroidrezeptor-dns-sequenzen |
| US5200084A (en) | 1990-09-26 | 1993-04-06 | Immunicon Corporation | Apparatus and methods for magnetic separation |
| US5534615A (en) | 1994-04-25 | 1996-07-09 | Genentech, Inc. | Cardiac hypertrophy factor and uses therefor |
| US5849589A (en) | 1996-03-11 | 1998-12-15 | Duke University | Culturing monocytes with IL-4, TNF-α and GM-CSF TO induce differentiation to dendric cells |
| JP5031967B2 (ja) | 2000-03-22 | 2012-09-26 | イントレキソン コーポレーション | 新規エクジソン受容体ベースの誘導性遺伝子発現系 |
| US6931351B2 (en) * | 2001-04-20 | 2005-08-16 | International Business Machines Corporation | Decision making in classification problems |
| ES2341802T3 (es) * | 2005-09-05 | 2010-06-28 | Immatics Biotechnologies Gmbh | Peptidos asociados a tumores unidos promiscuamente a moleculas del antigeno de leucocito humano (hla) de clase ii. |
| BR112012029066A2 (pt) * | 2010-05-14 | 2020-09-01 | The General Hospital Corporation | composições e processos de identificação de neoantígenos específicos de tumor. |
| EP4303232A3 (en) | 2013-02-15 | 2024-04-17 | The Regents of The University of California | Chimeric antigen receptor and methods of use thereof |
| WO2014180490A1 (en) * | 2013-05-10 | 2014-11-13 | Biontech Ag | Predicting immunogenicity of t cell epitopes |
| EP3194970B1 (en) * | 2014-09-10 | 2021-07-28 | F. Hoffmann-La Roche AG | Immunogenic mutant peptide screening platform |
| WO2016069282A1 (en) | 2014-10-31 | 2016-05-06 | The Trustees Of The University Of Pennsylvania | Altering gene expression in modified t cells and uses thereof |
| JP2019506143A (ja) | 2015-12-14 | 2019-03-07 | ベリカム ファーマシューティカルズ, インコーポレイテッド | 治療用細胞の活性化及び排除のための二重コントロール |
| RU2729116C2 (ru) | 2015-12-16 | 2020-08-04 | Гритстоун Онколоджи, Инк. | Идентификация, производство и применение неоантигенов |
-
2019
- 2019-02-27 CN CN202411604031.8A patent/CN119851752A/zh active Pending
- 2019-02-27 JP JP2020567466A patent/JP7480064B2/ja active Active
- 2019-02-27 WO PCT/US2019/019836 patent/WO2019168984A1/en not_active Ceased
- 2019-02-27 US US16/975,823 patent/US20200411135A1/en active Pending
- 2019-02-27 CN CN201980019430.9A patent/CN111868080B/zh active Active
- 2019-02-27 KR KR1020207027458A patent/KR102930070B1/ko active Active
- 2019-02-27 CA CA3091917A patent/CA3091917A1/en active Pending
- 2019-02-27 EP EP19760756.7A patent/EP3759131A4/en active Pending
- 2019-02-27 AU AU2019227813A patent/AU2019227813B2/en active Active
- 2019-02-27 TW TW108106921A patent/TW202000693A/zh unknown
- 2019-02-27 KR KR1020267004996A patent/KR20260041858A/ko active Pending
-
2020
- 2020-08-20 IL IL276839A patent/IL276839A/en unknown
-
2024
- 2024-09-25 AU AU2024220070A patent/AU2024220070A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| US20200411135A1 (en) | 2020-12-31 |
| CN111868080B (zh) | 2024-11-29 |
| AU2024220070A1 (en) | 2024-10-17 |
| CN111868080A (zh) | 2020-10-30 |
| IL276839A (en) | 2020-10-29 |
| JP2021514671A (ja) | 2021-06-17 |
| WO2019168984A1 (en) | 2019-09-06 |
| CN119851752A (zh) | 2025-04-18 |
| KR20200127001A (ko) | 2020-11-09 |
| JP7480064B2 (ja) | 2024-05-09 |
| AU2019227813A1 (en) | 2020-10-01 |
| KR102930070B1 (ko) | 2026-02-24 |
| TW202000693A (zh) | 2020-01-01 |
| CA3091917A1 (en) | 2019-09-06 |
| WO2019168984A8 (en) | 2020-06-04 |
| EP3759131A1 (en) | 2021-01-06 |
| KR20260041858A (ko) | 2026-03-27 |
| EP3759131A4 (en) | 2021-12-01 |
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