JP2020532323A5 - - Google Patents

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JP2020532323A5
JP2020532323A5 JP2020534819A JP2020534819A JP2020532323A5 JP 2020532323 A5 JP2020532323 A5 JP 2020532323A5 JP 2020534819 A JP2020534819 A JP 2020534819A JP 2020534819 A JP2020534819 A JP 2020534819A JP 2020532323 A5 JP2020532323 A5 JP 2020532323A5
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nascent
antigen
mhc
cells
allele
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JP7763588B2 (ja
JP2020532323A (ja
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JP2020534819A 2017-09-05 2018-09-05 T細胞療法用の新生抗原の特定法 Active JP7763588B2 (ja)

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JP2023140746A JP7851893B2 (ja) 2017-09-05 2023-08-31 T細胞療法用の新生抗原の特定法

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US201762554286P 2017-09-05 2017-09-05
US62/554,286 2017-09-05
US201762579734P 2017-10-31 2017-10-31
US62/579,734 2017-10-31
US201862644191P 2018-03-16 2018-03-16
US62/644,191 2018-03-16
US201862703197P 2018-07-25 2018-07-25
US62/703,197 2018-07-25
PCT/US2018/049614 WO2019050994A1 (en) 2017-09-05 2018-09-05 IDENTIFICATION OF NEOANTIGEN FOR LYMPHOCYTE THERAPY T

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JP2020532323A JP2020532323A (ja) 2020-11-12
JP2020532323A5 true JP2020532323A5 (https=) 2021-10-07
JP7763588B2 JP7763588B2 (ja) 2025-11-04

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US (1) US20200363414A1 (https=)
EP (1) EP3679578A4 (https=)
JP (2) JP7763588B2 (https=)
KR (1) KR102946326B1 (https=)
CN (1) CN111315390A (https=)
AU (2) AU2018328220C1 (https=)
CA (1) CA3073812A1 (https=)
IL (1) IL273030B2 (https=)
TW (1) TW201920686A (https=)
WO (1) WO2019050994A1 (https=)
ZA (1) ZA202001531B (https=)

Families Citing this family (52)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014180490A1 (en) 2013-05-10 2014-11-13 Biontech Ag Predicting immunogenicity of t cell epitopes
WO2016128060A1 (en) 2015-02-12 2016-08-18 Biontech Ag Predicting t cell epitopes useful for vaccination
ES2970865T3 (es) 2015-12-16 2024-05-31 Gritstone Bio Inc Identificación, fabricación y uso de neoantígenos
WO2017194170A1 (en) 2016-05-13 2017-11-16 Biontech Rna Pharmaceuticals Gmbh Methods for predicting the usefulness of proteins or protein fragments for immunotherapy
US12440578B2 (en) 2017-02-22 2025-10-14 Io Biosciences, Inc. Nucleic acid constructs comprising gene editing multi-sites and uses thereof
US10828330B2 (en) 2017-02-22 2020-11-10 IO Bioscience, Inc. Nucleic acid constructs comprising gene editing multi-sites and uses thereof
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
US20200363414A1 (en) * 2017-09-05 2020-11-19 Gritstone Oncology, Inc. Neoantigen Identification for T-Cell Therapy
EP4576103A3 (en) 2017-10-10 2025-08-27 Gritstone bio, Inc. Neoantigen identification using hotspots
CN111630602A (zh) 2017-11-22 2020-09-04 磨石肿瘤生物技术公司 减少新抗原的接合表位呈递
US11730387B2 (en) * 2018-11-02 2023-08-22 University Of Central Florida Research Foundation, Inc. Method for detection and diagnosis of lung and pancreatic cancers from imaging scans
US11599774B2 (en) * 2019-03-29 2023-03-07 International Business Machines Corporation Training machine learning model
WO2020210591A1 (en) * 2019-04-11 2020-10-15 Google Llc Predicting biological functions of proteins using dilated convolutional neural networks
CN110298036B (zh) * 2019-06-06 2022-07-22 昆明理工大学 一种基于词性增量迭代的在线医疗文本症状识别方法
WO2020263919A1 (en) * 2019-06-24 2020-12-30 H. Lee Moffitt Cancer Center And Research Institute, Inc. A peptide-based screening method to identify neoantigens for use with tumor infiltrating lymphocytes
KR20240137107A (ko) 2019-07-16 2024-09-19 길리애드 사이언시즈, 인코포레이티드 Hiv 백신, 및 이의 제조 및 사용 방법
JP2022543583A (ja) * 2019-07-30 2022-10-13 ブレイクバイオ コーポレイション 固形腫瘍の治療方法
CN110277135B (zh) * 2019-08-10 2021-06-01 杭州新范式生物医药科技有限公司 一种基于预期疗效选择个体化肿瘤新抗原的方法和系统
CN110514845B (zh) * 2019-08-22 2022-09-27 深圳新合睿恩生物医疗科技有限公司 一种肿瘤新生抗原免疫原性检测方法及检测平台
CN110534156B (zh) * 2019-09-02 2022-06-17 深圳市新合生物医疗科技有限公司 一种提取免疫治疗新抗原的方法及系统
WO2021048400A1 (en) * 2019-09-13 2021-03-18 Evaxion Biotech Aps Method for identifying t-cell epitopes
IL291935A (en) * 2019-10-08 2022-06-01 Pact Pharma Inc Methods for immunotherapy of genetically modified autologous t cells
KR102184720B1 (ko) * 2019-10-11 2020-11-30 한국과학기술원 암 세포 표면의 mhc-펩타이드 결합도 예측 방법 및 분석 장치
WO2021091541A1 (en) * 2019-11-05 2021-05-14 Kri Technologies Incorporated Identifying cancer neoantigens for personalized cancer immunotherapy
GB202003669D0 (en) * 2020-03-13 2020-04-29 Univ Oxford Innovation Ltd Method for identifying neo-antigens
CN113469400B (zh) * 2020-03-31 2025-03-18 北京沃东天骏信息技术有限公司 补货方法及装置、电子设备、存储介质
CN111599410B (zh) * 2020-05-20 2023-06-13 深圳市新合生物医疗科技有限公司 一种整合多组学数据提取微卫星不稳定免疫治疗新抗原的方法和应用
CN111709867B (zh) * 2020-06-10 2022-11-25 四川大学 基于新型全卷积网络的等模矢量分解图像加密分析方法
AU2021320556A1 (en) 2020-08-07 2023-03-09 Neogene Therapeutics B.V. Methods to enrich genetically engineered T cells
WO2022059780A1 (ja) * 2020-09-18 2022-03-24 サイアス株式会社 iPS細胞を介する再生T細胞の製造方法
CN112086129B (zh) * 2020-09-23 2021-04-06 深圳吉因加医学检验实验室 预测肿瘤组织cfDNA的方法及系统
CN116802738A (zh) * 2020-11-06 2023-09-22 亚马逊科技公司 为个体化癌症疫苗选择新抗原
JP7451378B2 (ja) * 2020-11-06 2024-03-18 株式会社東芝 情報処理装置
US20230420077A1 (en) * 2020-11-18 2023-12-28 Kiromic BioPharma, Inc. Disease-associated isoform identifier
US12053517B2 (en) 2021-01-14 2024-08-06 Gilead Sciences, Inc. HIV vaccines and methods of using
WO2022170067A1 (en) * 2021-02-05 2022-08-11 Amazon Technologies, Inc. Ranking neoantigens for personalized cancer vaccine
CN113106062A (zh) * 2021-04-12 2021-07-13 赜誉(上海)生物科技有限公司 一种肿瘤新生抗原特异性肿瘤浸润淋巴细胞共培养方法
JP7619443B2 (ja) * 2021-04-20 2025-01-22 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
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
WO2022229966A1 (en) 2021-04-29 2022-11-03 Yeda Research And Development Co. Ltd. T cell receptors directed against ras-derived recurrent neoantigens and methods of identifying same
US20220383996A1 (en) * 2021-05-27 2022-12-01 Amazon Technologies, Inc. Assigning peptides to peptide groups for vaccine development
US12537072B1 (en) 2021-05-27 2026-01-27 Amazon Technologies, Inc. Immunogenic response prediction based on major histocompatibility complex (MHC) data
WO2023077113A1 (en) 2021-10-29 2023-05-04 Immunoracle Inc. Methods of analyzing a sample for cancer-specific immune cells
CN114420200A (zh) * 2022-01-19 2022-04-29 时代生物科技(深圳)有限公司 一种功能性肽的筛选方法
CN114649094B (zh) * 2022-03-30 2022-11-15 广东省人民医院 一种基于核磁共振的乳腺癌多参数临床决策辅助装置
EP4519675A4 (en) * 2022-05-03 2026-04-08 3T Biosciences Inc T-LYMPHOCYTE TARGET DISCOVERY
CN115497564A (zh) * 2022-09-01 2022-12-20 北京航空航天大学 一种鉴定抗原模型建立方法及鉴定抗原方法
GB202216453D0 (en) * 2022-11-04 2022-12-21 Lisziewicz Julianna Identification of antigens which induce t-cell responses
CN116469473B (zh) * 2023-06-15 2023-09-22 北京智因东方转化医学研究中心有限公司 T细胞亚型鉴定的模型训练方法、装置、设备及存储介质
IL326727A (en) * 2023-08-23 2026-04-01 Lg Chemical Ltd A method for neoantigen selection for personalized cancer vaccine development
CN117316273B (zh) * 2023-11-02 2024-09-06 聊城市人民医院 基于图神经网络的肿瘤个体化新抗原多肽筛选方法及装置
CN117743957B (zh) * 2024-02-06 2024-05-07 北京大学第三医院(北京大学第三临床医学院) 一种基于机器学习的Th2A细胞的数据分选方法及相关设备

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1272636B8 (en) * 2000-04-04 2008-10-08 University Of Rochester A gene differentially expressed in breast and bladder cancer and encoded polypeptides
DK2352756T3 (da) * 2008-11-24 2012-12-03 Helmholtz Zentrum Muenchen Højaffin T-cellereceptor og anvendelse af denne
WO2014012051A1 (en) * 2012-07-12 2014-01-16 Persimmune, Inc. Personalized cancer vaccines and adoptive immune cell therapies
EP2983702A2 (en) * 2013-04-07 2016-02-17 The Broad Institute, Inc. Compositions and methods for personalized neoplasia vaccines
WO2014180490A1 (en) * 2013-05-10 2014-11-13 Biontech Ag Predicting immunogenicity of t cell epitopes
KR101503341B1 (ko) * 2014-03-12 2015-03-18 국립암센터 자가암항원 특이적 cd8+ t 세포의 분리 및 증식방법
US20150278441A1 (en) * 2014-03-25 2015-10-01 Nec Laboratories America, Inc. High-order semi-Restricted Boltzmann Machines and Deep Models for accurate peptide-MHC binding prediction
CA3017170C (en) * 2014-09-17 2021-03-23 The Johns Hopkins University Reagents and methods for identifying, enriching, and/or expanding antigen-specific t cells
US10975442B2 (en) * 2014-12-19 2021-04-13 Massachusetts Institute Of Technology Molecular biomarkers for cancer immunotherapy
WO2016145578A1 (en) * 2015-03-13 2016-09-22 Syz Cell Therapy Co. Methods of cancer treatment using activated t cells
IL294183B2 (en) * 2015-05-20 2023-10-01 Dana Farber Cancer Inst Inc shared neoantigens
ES2970865T3 (es) * 2015-12-16 2024-05-31 Gritstone Bio Inc Identificación, fabricación y uso de neoantígenos
US11965892B2 (en) * 2017-02-12 2024-04-23 Biontech Us Inc. HLA-based methods and compositions and uses thereof
US20200363414A1 (en) 2017-09-05 2020-11-19 Gritstone Oncology, Inc. Neoantigen Identification for T-Cell Therapy

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