JP2024505638A5 - - Google Patents

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Publication number
JP2024505638A5
JP2024505638A5 JP2023543396A JP2023543396A JP2024505638A5 JP 2024505638 A5 JP2024505638 A5 JP 2024505638A5 JP 2023543396 A JP2023543396 A JP 2023543396A JP 2023543396 A JP2023543396 A JP 2023543396A JP 2024505638 A5 JP2024505638 A5 JP 2024505638A5
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JP
Japan
Prior art keywords
tumor
mhc class
specific
peptide
specific neoantigen
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Pending
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JP2023543396A
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English (en)
Japanese (ja)
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JP2024505638A (ja
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Priority claimed from PCT/US2021/061399 external-priority patent/WO2022159176A1/en
Publication of JP2024505638A publication Critical patent/JP2024505638A/ja
Publication of JP2024505638A5 publication Critical patent/JP2024505638A5/ja
Pending legal-status Critical Current

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JP2023543396A 2021-01-19 2021-12-01 腫瘍特異的ネオアンチゲンのmhcクラスiまたはクラスii免疫原性を予測するためのディープラーニングモデル Pending JP2024505638A (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US202163139074P 2021-01-19 2021-01-19
US63/139,074 2021-01-19
PCT/US2021/061399 WO2022159176A1 (en) 2021-01-19 2021-12-01 A deep learning model for predicting tumor-specific neoantigen mhc class i or class ii immunogenicity

Publications (2)

Publication Number Publication Date
JP2024505638A JP2024505638A (ja) 2024-02-07
JP2024505638A5 true JP2024505638A5 (https=) 2024-12-10

Family

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Family Applications (1)

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JP2023543396A Pending JP2024505638A (ja) 2021-01-19 2021-12-01 腫瘍特異的ネオアンチゲンのmhcクラスiまたはクラスii免疫原性を予測するためのディープラーニングモデル

Country Status (5)

Country Link
US (1) US12567480B2 (https=)
EP (1) EP4281970A1 (https=)
JP (1) JP2024505638A (https=)
CN (1) CN117136410A (https=)
WO (1) WO2022159176A1 (https=)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116959581A (zh) * 2023-01-17 2023-10-27 腾讯科技(深圳)有限公司 免疫原性预测模型的训练方法、装置、设备及存储介质
KR20250058439A (ko) * 2023-10-23 2025-04-30 주식회사 Lg 경영개발원 비관측 단백질 복합체를 활용하여 항원 제시 모델을 생성하는 단백질 상호 작용 예측 장치 및 이를 이용한 방법
WO2025128926A1 (en) 2023-12-13 2025-06-19 Amazon Technologies, Inc. Methods of identifying and treating individuals with elevated cancer risk
US20250197924A1 (en) 2023-12-15 2025-06-19 Amazon Technologies, Inc. Methods for selection and combination of sequencing results from biological samples for neoantigen scoring
CN117877603B (zh) * 2024-01-11 2024-09-13 天津大学 一种基于分层信息提取机制的化学反应理论产量预测方法
WO2026072916A1 (en) 2024-09-30 2026-04-02 Amazon Technologies, Inc. Structural variant detection in circulating tumor dna
WO2026073127A1 (en) 2024-09-30 2026-04-02 Amazon Technologies, Inc. Dual assay to boost accuracy of detected actionable variants in liquid biopsy
CN119152945A (zh) * 2024-10-08 2024-12-17 中国人民解放军海军军医大学第一附属医院 一种NeoBert模型及其在鉴别肿瘤新抗原中的应用
CN120048333B (zh) * 2025-02-14 2025-10-21 三二〇一医院 一种新抗原的筛选方法、设备及程序产品
CN119964812A (zh) * 2025-04-10 2025-05-09 成都大学附属医院(成都市创伤骨科研究所) 基于深度学习的前列腺癌医学智能预测系统

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4235871A (en) 1978-02-24 1980-11-25 Papahadjopoulos Demetrios P Method of encapsulating biologically active materials in lipid vesicles
US4722848A (en) 1982-12-08 1988-02-02 Health Research, Incorporated Method for immunizing animals with synthetically modified vaccinia virus
US4501728A (en) 1983-01-06 1985-02-26 Technology Unlimited, Inc. Masking of liposomes from RES recognition
US5019369A (en) 1984-10-22 1991-05-28 Vestar, Inc. Method of targeting tumors in humans
US4837028A (en) 1986-12-24 1989-06-06 Liposome Technology, Inc. Liposomes with enhanced circulation time
US5057540A (en) 1987-05-29 1991-10-15 Cambridge Biotech Corporation Saponin adjuvant
US4912094B1 (en) 1988-06-29 1994-02-15 Ribi Immunochem Research Inc. Modified lipopolysaccharides and process of preparation
US5703055A (en) 1989-03-21 1997-12-30 Wisconsin Alumni Research Foundation Generation of antibodies through lipid mediated DNA delivery
US5204253A (en) 1990-05-29 1993-04-20 E. I. Du Pont De Nemours And Company Method and apparatus for introducing biological substances into living cells
US8063063B2 (en) 2006-03-23 2011-11-22 Novartis Ag Immunopotentiating compounds
ES2536426T3 (es) 2006-03-23 2015-05-25 Novartis Ag Compuestos de imidazoquinoxalina como inmunomoduladores
ES2970865T3 (es) * 2015-12-16 2024-05-31 Gritstone Bio Inc Identificación, fabricación y uso de neoantígenos
EP3759131A4 (en) * 2018-02-27 2021-12-01 Gritstone bio, Inc. NEOANTIGEN IDENTIFICATION WITH PAN ALLELE MODELS
EP3930755A4 (en) * 2019-03-01 2023-03-22 Flow Pharma Inc. DESIGN, MANUFACTURE AND USE OF PERSONALIZED CANCER VACCINES
EP3739589A1 (en) * 2019-05-17 2020-11-18 NEC OncoImmunity AS Method and system for binding affinity prediction and method of generating a candidate protein-binding peptide
CN111415707B (zh) * 2020-03-10 2023-04-25 四川大学 临床个体化肿瘤新抗原的预测方法
CN112071361B (zh) * 2020-04-11 2024-05-24 信华生物药业(广州)有限公司 基于Bi-LSTM与Self-Attention的多肽TCR免疫原性预测方法
CN112002374B (zh) * 2020-06-14 2022-04-22 北京臻知医学科技有限责任公司 基于深度学习的mhc-i表位亲和力预测方法

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