AU2020271361A1 - Systems and methods to classify antibodies - Google Patents

Systems and methods to classify antibodies Download PDF

Info

Publication number
AU2020271361A1
AU2020271361A1 AU2020271361A AU2020271361A AU2020271361A1 AU 2020271361 A1 AU2020271361 A1 AU 2020271361A1 AU 2020271361 A AU2020271361 A AU 2020271361A AU 2020271361 A AU2020271361 A AU 2020271361A AU 2020271361 A1 AU2020271361 A1 AU 2020271361A1
Authority
AU
Australia
Prior art keywords
protein
peptide
amino acid
antigen
acid sequence
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.)
Abandoned
Application number
AU2020271361A
Other languages
English (en)
Inventor
Simon FRIEDENSOHN
Derek Mason
Sai Reddy
Cedric WEBER
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Eidgenoessische Technische Hochschule Zurich ETHZ
Original Assignee
Eidgenoessische Technische Hochschule Zurich ETHZ
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 Eidgenoessische Technische Hochschule Zurich ETHZ filed Critical Eidgenoessische Technische Hochschule Zurich ETHZ
Publication of AU2020271361A1 publication Critical patent/AU2020271361A1/en
Priority to AU2025242082A priority Critical patent/AU2025242082A1/en
Abandoned legal-status Critical Current

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
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/20Supervised data analysis
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/02Knowledge representation; Symbolic representation
    • G06N5/022Knowledge engineering; Knowledge acquisition
    • 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
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/30Detection of binding sites or motifs

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Theoretical Computer Science (AREA)
  • Medical Informatics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Biotechnology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biophysics (AREA)
  • Genetics & Genomics (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Molecular Biology (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Epidemiology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Public Health (AREA)
  • Bioethics (AREA)
  • Databases & Information Systems (AREA)
  • Computational Linguistics (AREA)
  • Computing Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Peptides Or Proteins (AREA)
AU2020271361A 2019-04-09 2020-04-08 Systems and methods to classify antibodies Abandoned AU2020271361A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU2025242082A AU2025242082A1 (en) 2019-04-09 2025-09-30 Systems and methods to classify antibodies

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201962831663P 2019-04-09 2019-04-09
US62/831,663 2019-04-09
PCT/IB2020/053370 WO2020208555A1 (en) 2019-04-09 2020-04-08 Systems and methods to classify antibodies

Related Child Applications (1)

Application Number Title Priority Date Filing Date
AU2025242082A Division AU2025242082A1 (en) 2019-04-09 2025-09-30 Systems and methods to classify antibodies

Publications (1)

Publication Number Publication Date
AU2020271361A1 true AU2020271361A1 (en) 2021-10-28

Family

ID=70293015

Family Applications (2)

Application Number Title Priority Date Filing Date
AU2020271361A Abandoned AU2020271361A1 (en) 2019-04-09 2020-04-08 Systems and methods to classify antibodies
AU2025242082A Pending AU2025242082A1 (en) 2019-04-09 2025-09-30 Systems and methods to classify antibodies

Family Applications After (1)

Application Number Title Priority Date Filing Date
AU2025242082A Pending AU2025242082A1 (en) 2019-04-09 2025-09-30 Systems and methods to classify antibodies

Country Status (8)

Country Link
US (1) US20220157403A1 (https=)
EP (1) EP3953943A1 (https=)
JP (1) JP7524215B2 (https=)
CN (1) CN113853656A (https=)
AU (2) AU2020271361A1 (https=)
CA (1) CA3132189A1 (https=)
IL (1) IL287025A (https=)
WO (1) WO2020208555A1 (https=)

Families Citing this family (31)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11049590B1 (en) 2020-02-12 2021-06-29 Peptilogics, Inc. Artificial intelligence engine architecture for generating candidate drugs
US11403316B2 (en) 2020-11-23 2022-08-02 Peptilogics, Inc. Generating enhanced graphical user interfaces for presentation of anti-infective design spaces for selecting drug candidates
US11512345B1 (en) 2021-05-07 2022-11-29 Peptilogics, Inc. Methods and apparatuses for generating peptides by synthesizing a portion of a design space to identify peptides having non-canonical amino acids
WO2022245737A1 (en) * 2021-05-17 2022-11-24 Genentech, Inc. Function guided in silico protein design
WO2022248935A1 (en) * 2021-05-27 2022-12-01 Lynceus Sas Machine learning-based quality control of a culture for bioproduction
US11567488B2 (en) * 2021-05-27 2023-01-31 Lynceus, Sas Machine learning-based quality control of a culture for bioproduction
WO2022271636A1 (en) * 2021-06-22 2022-12-29 Evqlv, Inc. Computational characterization and selection of sequence variants
WO2023036849A1 (en) * 2021-09-07 2023-03-16 ETH Zürich Identifying and predicting future coronavirus variants
WO2023049466A2 (en) * 2021-09-27 2023-03-30 Marwell Bio Inc. Machine learning for designing antibodies and nanobodies in-silico
IL312409A (en) * 2021-11-01 2024-06-01 Adimab Llc Systems and methods for intelligent construction of antibody libraries
US20230268026A1 (en) * 2022-01-07 2023-08-24 Absci Corporation Designing biomolecule sequence variants with pre-specified attributes
CN115116543B (zh) * 2022-04-18 2025-08-05 腾讯科技(深圳)有限公司 抗原抗体结合位点确定方法、装置、设备和存储介质
WO2023215322A1 (en) * 2022-05-02 2023-11-09 Merck Sharp & Dohme Llc Generative modeling leveraging deep learning for antibody affinity tuning
US12306862B2 (en) * 2022-05-13 2025-05-20 S&P Global Inc. Information extraction for unstructured text documents
CN115171774A (zh) * 2022-05-17 2022-10-11 慧壹科技(上海)有限公司 一种抗体/大分子药物的亲和力改造系统和方法
WO2023246834A1 (en) * 2022-06-24 2023-12-28 King Abdullah University Of Science And Technology Reinforcement learning (rl) for protein design
WO2024040020A1 (en) * 2022-08-15 2024-02-22 Absci Corporation Quantitative affinity activity specific cell enrichment
CN117672351A (zh) * 2022-09-01 2024-03-08 珠海碳云智能科技有限公司 一种评估抗体与多肽芯片结合特征的方法
WO2024051806A1 (zh) * 2022-09-09 2024-03-14 南京金斯瑞生物科技有限公司 一种设计人源化抗体序列的方法
EP4668279A4 (en) 2023-02-16 2026-03-25 Fujitsu Ltd INFORMATION PROCESSING PROGRAM, INFORMATION PROCESS, AND INFORMATION PROCESSING DEVICE
US12587274B2 (en) 2023-03-28 2026-03-24 Quantum Generative Materials Llc Satellite optimization management system based on natural language input and artificial intelligence
WO2024208261A1 (zh) * 2023-04-04 2024-10-10 南京金斯瑞生物科技有限公司 用于抗体药物开发的黏度预测方法
US12531162B1 (en) * 2023-05-31 2026-01-20 Northeastern University Multi-dimensional phenotypic space for genotype to phenotype mapping and intelligent design of cancer drug therapies using a deep learning net
WO2025070104A1 (ja) * 2023-09-28 2025-04-03 富士フイルム株式会社 情報処理装置、情報処理装置の作動方法、および情報処理装置の作動プログラム
CN117594114B (zh) * 2023-10-30 2024-12-03 康复大学(筹) 一种基于蛋白质结构域预测与生物大分子修饰结合的类抗体的方法
US12562256B2 (en) * 2023-11-07 2026-02-24 New York University Systems, methods and computer-accessible medium for identifying target pairs for CAR-T therapy
WO2025128525A1 (en) * 2023-12-11 2025-06-19 Research Development Foundation System and method for predicting microproteins
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
US20250279158A1 (en) * 2024-02-29 2025-09-04 Lurong Pan Computer-assisted method and system for evaluating and modifying immunogenicity of protein sequences using a protein large language model
WO2025235938A1 (en) * 2024-05-10 2025-11-13 Regeneron Pharmaceuticals, Inc. Computational methods and systems for predicting developability of protein sequences

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2003099999A2 (en) * 2002-05-20 2003-12-04 Abmaxis, Inc. Generation and selection of protein library in silico
WO2014180490A1 (en) * 2013-05-10 2014-11-13 Biontech Ag Predicting immunogenicity of t cell epitopes
JP2019513415A (ja) 2016-04-04 2019-05-30 イーティーエッチ チューリッヒ タンパク質産生及びライブラリー生成のための哺乳類細胞株
GB201607521D0 (en) * 2016-04-29 2016-06-15 Oncolmmunity As Method
WO2018132752A1 (en) * 2017-01-13 2018-07-19 Massachusetts Institute Of Technology Machine learning based antibody design
CN109036580B (zh) 2018-07-06 2021-08-20 华东师范大学 基于相互作用能项和机器学习的蛋白-配体亲和力预测方法

Also Published As

Publication number Publication date
JP7524215B2 (ja) 2024-07-29
CN113853656A (zh) 2021-12-28
IL287025A (en) 2021-12-01
JP2022527381A (ja) 2022-06-01
EP3953943A1 (en) 2022-02-16
US20220157403A1 (en) 2022-05-19
WO2020208555A1 (en) 2020-10-15
CA3132189A1 (en) 2020-10-15
AU2025242082A1 (en) 2025-11-20

Similar Documents

Publication Publication Date Title
JP7524215B2 (ja) 抗体を分類するためのシステムおよび方法
Mason et al. Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning
Mason et al. Deep learning enables therapeutic antibody optimization in mammalian cells by deciphering high-dimensional protein sequence space
JP2022527381A5 (https=)
Parkinson et al. The RESP AI model accelerates the identification of tight-binding antibodies
US20240379248A1 (en) Machine learning for designing antibodies and nanobodies in-silico
Pertseva et al. Applications of machine and deep learning in adaptive immunity
JP2025504384A (ja) 事前に特定された属性を伴う生体分子配列バリアントの設計
Minot et al. Meta learning addresses noisy and under-labeled data in machine learning-guided antibody engineering
Chatterjee et al. PPI_SVM: Prediction of protein-protein interactions using machine learning, domain-domain affinities and frequency tables
EP4476733A2 (en) Unlocking de novo antibody design with generative artificial intelligence
Mahajan et al. Hallucinating structure-conditioned antibody libraries for target-specific binders
JP2023548364A (ja) バイオ医薬品開発のための方法およびシステム
JP2026501123A (ja) タンパク質のインテリジェント設計および操作
JP2023526188A (ja) アプタマー模倣発見を介した生物製剤工学
Gallo The rise of big data: deep sequencing-driven computational methods are transforming the landscape of synthetic antibody design
Li et al. Benchmarking inverse folding models for antibody CDR sequence design
Minot et al. Meta learning improves robustness and performance in machine learning-guided protein engineering
Ramon et al. Deep learning assessment of nativeness and pairing likelihood for antibody and nanobody design with AbNatiV2
Li et al. Machine Learning Optimization of Candidate Antibodies Yields Highly Diverse Sub-nanomolar Affinity Antibody Libraries
CN117153253B (zh) 一种设计人源化抗体序列的方法
Zhong et al. A free energy perturbation-assisted machine learning strategy for mimotope screening in neoantigen-based vaccine design
JP2024542017A (ja) 抗体ライブラリーのインテリジェント構築のためのシステム及び方法
WO2022271636A1 (en) Computational characterization and selection of sequence variants
Zhou et al. Enhancing polyreactivity prediction of preclinical antibodies through fine-tuned protein language models

Legal Events

Date Code Title Description
MK5 Application lapsed section 142(2)(e) - patent request and compl. specification not accepted