JP2022535511A5 - - Google Patents

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Publication number
JP2022535511A5
JP2022535511A5 JP2021570755A JP2021570755A JP2022535511A5 JP 2022535511 A5 JP2022535511 A5 JP 2022535511A5 JP 2021570755 A JP2021570755 A JP 2021570755A JP 2021570755 A JP2021570755 A JP 2021570755A JP 2022535511 A5 JP2022535511 A5 JP 2022535511A5
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JP
Japan
Prior art keywords
derived
constraints
peptide
topological
targets
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Pending
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JP2021570755A
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English (en)
Japanese (ja)
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JP2022535511A (ja
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Priority claimed from PCT/US2020/032715 external-priority patent/WO2020242765A1/en
Publication of JP2022535511A publication Critical patent/JP2022535511A/ja
Publication of JP2022535511A5 publication Critical patent/JP2022535511A5/ja
Priority to JP2025077381A priority Critical patent/JP2025118804A/ja
Pending legal-status Critical Current

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JP2021570755A 2019-05-31 2020-05-13 メソスケール操作されたペプチドおよび選択方法 Pending JP2022535511A (ja)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2025077381A JP2025118804A (ja) 2019-05-31 2025-05-07 メソスケール操作されたペプチドおよび選択方法

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201962855767P 2019-05-31 2019-05-31
US62/855,767 2019-05-31
PCT/US2020/032715 WO2020242765A1 (en) 2019-05-31 2020-05-13 Meso-scale engineered peptides and methods of selecting

Related Child Applications (1)

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JP2025077381A Division JP2025118804A (ja) 2019-05-31 2025-05-07 メソスケール操作されたペプチドおよび選択方法

Publications (2)

Publication Number Publication Date
JP2022535511A JP2022535511A (ja) 2022-08-09
JP2022535511A5 true JP2022535511A5 (https=) 2023-06-14

Family

ID=73553528

Family Applications (4)

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JP2021571033A Active JP7579812B2 (ja) 2019-05-31 2020-05-13 メソスケールペプチドを操作するための機械学習ベースの装置およびそのための方法およびシステム
JP2021570755A Pending JP2022535511A (ja) 2019-05-31 2020-05-13 メソスケール操作されたペプチドおよび選択方法
JP2024189173A Pending JP2025016594A (ja) 2019-05-31 2024-10-28 メソスケールペプチドを操作するための機械学習ベースの装置およびそのための方法およびシステム
JP2025077381A Pending JP2025118804A (ja) 2019-05-31 2025-05-07 メソスケール操作されたペプチドおよび選択方法

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JP2021571033A Active JP7579812B2 (ja) 2019-05-31 2020-05-13 メソスケールペプチドを操作するための機械学習ベースの装置およびそのための方法およびシステム

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JP2024189173A Pending JP2025016594A (ja) 2019-05-31 2024-10-28 メソスケールペプチドを操作するための機械学習ベースの装置およびそのための方法およびシステム
JP2025077381A Pending JP2025118804A (ja) 2019-05-31 2025-05-07 メソスケール操作されたペプチドおよび選択方法

Country Status (7)

Country Link
US (3) US11545238B2 (https=)
EP (2) EP3977117A4 (https=)
JP (4) JP7579812B2 (https=)
KR (3) KR20260028069A (https=)
CN (2) CN114585918A (https=)
CA (2) CA3142339A1 (https=)
WO (2) WO2020242765A1 (https=)

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3880698A4 (en) 2018-11-14 2022-11-30 RubrYc Therapeutics, Inc. MANIPULATED CD25 POLYPEPTIDES AND USES THEREOF
WO2022243940A1 (en) * 2021-05-21 2022-11-24 Peptone, Ltd. Spacio-temporal determination of polypeptide structure
CN114065620B (zh) * 2021-11-11 2022-06-03 四川大学 基于像素图表征和cnn的可解释性分子动力学轨迹分析方法
US20250299780A1 (en) * 2022-05-06 2025-09-25 Dyno Therapeutics, Inc. System and methods for predicting features of biological sequences
CN115512763B (zh) * 2022-09-06 2023-10-24 北京百度网讯科技有限公司 多肽序列的生成方法、多肽生成模型的训练方法和装置
CN116343922B (zh) * 2022-12-31 2026-01-09 浙江大学杭州国际科创中心 一种基于机器学习对多肽进行预测的方法
CN115881220B (zh) * 2023-02-15 2023-06-06 北京深势科技有限公司 一种抗体结构预测的处理方法和装置
US12587274B2 (en) 2023-03-28 2026-03-24 Quantum Generative Materials Llc Satellite optimization management system based on natural language input and artificial intelligence
CN116467894B (zh) * 2023-05-16 2024-08-20 郑州大学 一种基于机器学习分子动力学的辐照损伤仿真系统及方法
TWI860054B (zh) * 2023-08-22 2024-10-21 國立清華大學 訓練機器學習模型的方法、裝置和電腦程式產品
CN116913395B (zh) * 2023-09-13 2023-11-28 青岛虹竹生物科技有限公司 一种构建小分子肽数据库的数字化方法
WO2025057424A1 (ja) * 2023-09-15 2025-03-20 富士通株式会社 情報処理プログラム，情報処理装置および情報処理方法
US12603701B2 (en) 2023-12-27 2026-04-14 Quantum Generative Materials Llc Distributed satellite constellation management and control system
US12368503B2 (en) 2023-12-27 2025-07-22 Quantum Generative Materials Llc Intent-based satellite transmit management based on preexisting historical location and machine learning

Family Cites Families (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AUPP660698A0 (en) * 1998-10-21 1998-11-12 University Of Queensland, The A method of protein engineering
JP2002536301A (ja) 1999-01-27 2002-10-29 ザ スクリプス リサーチ インスティテュート タンパク質モデリングツール
IL147031A0 (en) * 1999-08-02 2002-08-14 Synt Em Sa Computational design methods for making molecular mimetics
ATE385811T1 (de) * 2000-12-19 2008-03-15 Palatin Technologies Inc Identifizierung zielgerichteter faltungsstellen in peptiden und proteinen
EP1503321A3 (en) * 2001-08-10 2006-08-30 Xencor, Inc. Protein design automation for protein libraries
US20060020396A1 (en) * 2002-09-09 2006-01-26 Rene Gantier Rational directed protein evolution using two-dimensional rational mutagenesis scanning
US20070192033A1 (en) 2006-02-16 2007-08-16 Microsoft Corporation Molecular interaction predictors
US8050870B2 (en) 2007-01-12 2011-11-01 Microsoft Corporation Identifying associations using graphical models
US8374828B1 (en) * 2007-12-24 2013-02-12 The University Of North Carolina At Charlotte Computer implemented system for protein and drug target design utilizing quantified stability and flexibility relationships to control function
JP2010113473A (ja) 2008-11-05 2010-05-20 Saitama Univ ペプチドとタンパク質の結合部位を予測する方法、装置、およびプログラム
JP2013541528A (ja) * 2010-09-21 2013-11-14 マサチューセッツ インスティテュート オブ テクノロジー ヒト適応ｈａポリペプチド、ワクチン、およびインフルエンザの処置
US20130090265A1 (en) 2011-10-11 2013-04-11 Biolauncher Ltd. Systems and methods for generation of context-specific, molecular field-based amino acid substitution matrices
US10431325B2 (en) 2012-08-03 2019-10-01 Novartis Ag Methods to identify amino acid residues involved in macromolecular binding and uses therefor
EP3417874B1 (en) * 2012-11-28 2024-09-11 BioNTech SE Individualized vaccines for cancer
US10665324B2 (en) * 2014-07-07 2020-05-26 Yeda Research And Development Co. Ltd. Method of computational protein design
RS61907B1 (sr) * 2015-04-06 2021-06-30 Subdomain Llc Polipeptidi koji sadrže de novo vezujući domen i njihova primena
US20180068054A1 (en) * 2016-09-06 2018-03-08 University Of Washington Hyperstable Constrained Peptides and Their Design
WO2018132752A1 (en) 2017-01-13 2018-07-19 Massachusetts Institute Of Technology Machine learning based antibody design
WO2018201020A1 (en) * 2017-04-28 2018-11-01 University Of Washington Folded and protease-resistant polypeptides
EP3880698A4 (en) * 2018-11-14 2022-11-30 RubrYc Therapeutics, Inc. MANIPULATED CD25 POLYPEPTIDES AND USES THEREOF
KR20240091046A (ko) 2018-12-21 2024-06-21 바이오엔테크 유에스 인크. Hla 클래스 ii-특이적 에피토프 예측 및 cd4+ t 세포 특징화를 위한 방법 및 시스템

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