IL287237A - Identification of convergent antibody specificity sequence patterns - Google Patents

Identification of convergent antibody specificity sequence patterns

Info

Publication number
IL287237A
IL287237A IL287237A IL28723721A IL287237A IL 287237 A IL287237 A IL 287237A IL 287237 A IL287237 A IL 287237A IL 28723721 A IL28723721 A IL 28723721A IL 287237 A IL287237 A IL 287237A
Authority
IL
Israel
Prior art keywords
convergent
specificity
identification
antibody sequence
sequence patterns
Prior art date
Application number
IL287237A
Other languages
English (en)
Hebrew (he)
Inventor
Friedensohn Simon
Reddy Sai
Original Assignee
Eth Zuerich
Friedensohn Simon
Reddy Sai
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Eth Zuerich, Friedensohn Simon, Reddy Sai filed Critical Eth Zuerich
Publication of IL287237A publication Critical patent/IL287237A/en

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/30Detection of binding sites or motifs
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • G06N3/0442Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • G06N3/0455Auto-encoder networks; Encoder-decoder networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/047Probabilistic or stochastic networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0475Generative networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/088Non-supervised learning, e.g. competitive learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/0895Weakly supervised learning, e.g. semi-supervised or self-supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computing arrangements based on specific mathematical models
    • G06N7/01Probabilistic graphical models, e.g. probabilistic networks
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/30Unsupervised data analysis

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Biotechnology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Evolutionary Biology (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Genetics & Genomics (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Probability & Statistics with Applications (AREA)
  • Computational Mathematics (AREA)
  • Algebra (AREA)
  • Mathematical Analysis (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Bioethics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • Public Health (AREA)
  • Peptides Or Proteins (AREA)
IL287237A 2019-05-03 2021-10-13 Identification of convergent antibody specificity sequence patterns IL287237A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201962843010P 2019-05-03 2019-05-03
PCT/IB2020/054171 WO2020225693A1 (en) 2019-05-03 2020-05-02 Identification of convergent antibody specificity sequence patterns

Publications (1)

Publication Number Publication Date
IL287237A true IL287237A (en) 2021-12-01

Family

ID=70554146

Family Applications (1)

Application Number Title Priority Date Filing Date
IL287237A IL287237A (en) 2019-05-03 2021-10-13 Identification of convergent antibody specificity sequence patterns

Country Status (8)

Country Link
US (1) US20220164627A1 (https=)
EP (1) EP3963590A1 (https=)
JP (2) JP7602484B2 (https=)
CN (2) CN114026645A (https=)
AU (1) AU2020269607B2 (https=)
CA (1) CA3132181A1 (https=)
IL (1) IL287237A (https=)
WO (1) WO2020225693A1 (https=)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7648099B2 (ja) 2019-05-19 2025-03-18 ジャスト-エヴォテック バイオロジクス,インコーポレイテッド 機械学習法によるタンパク質配列の生成
CA3160429A1 (en) * 2019-12-06 2021-06-10 Philip M. KIM System and method for generating a protein sequence
US11388356B1 (en) * 2021-04-12 2022-07-12 Tetramem Inc. AI fusion pixel sensor using memristors
CN113393900B (zh) * 2021-06-09 2022-08-02 吉林大学 基于改进Transformer模型的RNA状态推断研究方法
US20250191674A1 (en) * 2022-02-28 2025-06-12 Genentech, Inc. Protein design with segment preservation
US12587274B2 (en) 2023-03-28 2026-03-24 Quantum Generative Materials Llc Satellite optimization management system based on natural language input and artificial intelligence
CN116895350B (zh) * 2023-08-04 2024-01-16 辽宁工业大学 一种在复合位移加载下波纹管的多轴疲劳寿命预测方法
WO2025074981A1 (ja) * 2023-10-04 2025-04-10 国立大学法人大阪大学 抗体選別方法、コンピュータプログラム及び情報処理装置
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
US12603701B2 (en) 2023-12-27 2026-04-14 Quantum Generative Materials Llc Distributed satellite constellation management and control system

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8716195B2 (en) 2005-11-14 2014-05-06 Bioren, Inc. Antibody ultrahumanization by predicted mature CDR blasting and cohort library generation and screening
US20230019590A1 (en) * 2010-03-23 2023-01-19 Iogenetics, Llc Bioinformatic processes for determination of peptide binding
CN108138244A (zh) 2015-09-18 2018-06-08 纽约市哥伦比亚大学理事会 病毒组捕获测序平台、设计和构建方法以及使用方法
US11573239B2 (en) * 2017-07-17 2023-02-07 Bioinformatics Solutions Inc. Methods and systems for de novo peptide sequencing using deep learning
EP3486816A1 (en) * 2017-11-16 2019-05-22 Institut Pasteur Method, device, and computer program for generating protein sequences with autoregressive neural networks
CN108549794B (zh) * 2018-03-29 2021-05-25 中国林业科学研究院资源昆虫研究所 一种蛋白质二级结构预测方法
US20220180975A1 (en) * 2019-01-28 2022-06-09 The Broad Institute, Inc. Methods and systems for determining gene expression profiles and cell identities from multi-omic imaging data

Also Published As

Publication number Publication date
AU2020269607B2 (en) 2025-12-11
JP2024167413A (ja) 2024-12-03
US20220164627A1 (en) 2022-05-26
CN114026645A (zh) 2022-02-08
EP3963590A1 (en) 2022-03-09
JP2022530941A (ja) 2022-07-05
WO2020225693A1 (en) 2020-11-12
JP7602484B2 (ja) 2024-12-18
CN120526845A (zh) 2025-08-22
AU2020269607A1 (en) 2021-10-28
CA3132181A1 (en) 2020-11-12

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