GB2623274A - Antibody competition model using affinities of hidden variables - Google Patents

Antibody competition model using affinities of hidden variables Download PDF

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Publication number
GB2623274A
GB2623274A GB2401655.2A GB202401655A GB2623274A GB 2623274 A GB2623274 A GB 2623274A GB 202401655 A GB202401655 A GB 202401655A GB 2623274 A GB2623274 A GB 2623274A
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GB
United Kingdom
Prior art keywords
competition
data
hidden
antibodies
antibody
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.)
Pending
Application number
GB2401655.2A
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English (en)
Other versions
GB202401655D0 (en
Inventor
Thaddeus Hughes Christopher
Julie Layla Bertrand De Puyraimond Valentine
Roderick Docking Thomas
Kraft Lucas
Edward Hannie Stefan
Richard Jepson Kevin
Gogorza Tomas
John Yap Jordan
Sewall Ford Alexander
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.)
AbCellera Biologics Inc
Original Assignee
AbCellera Biologics Inc
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 AbCellera Biologics Inc filed Critical AbCellera Biologics Inc
Publication of GB202401655D0 publication Critical patent/GB202401655D0/en
Publication of GB2623274A publication Critical patent/GB2623274A/en
Pending legal-status Critical Current

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Classifications

    • C—CHEMISTRY; METALLURGY
    • C07—ORGANIC CHEMISTRY
    • C07K—PEPTIDES
    • C07K16/00—Immunoglobulins [IG], e.g. monoclonal or polyclonal antibodies
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/30—Unsupervised data analysis
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B15/00—ICT specially adapted for analysing two-dimensional [2D] or three-dimensional [3D] molecular structures, e.g. structural or functional relations or structure alignment
    • G16B15/30—Drug targeting using structural data; Docking or binding prediction
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/20—Supervised data analysis
    • C—CHEMISTRY; METALLURGY
    • C07—ORGANIC CHEMISTRY
    • C07K—PEPTIDES
    • C07K2317/00—Immunoglobulins specific features
    • C07K2317/90—Immunoglobulins specific features characterized by (pharmaco)kinetic aspects or by stability of the immunoglobulin
    • C07K2317/92—Affinity (KD), association rate (Ka), dissociation rate (Kd) or EC50 value

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Biotechnology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Medicinal Chemistry (AREA)
  • Organic Chemistry (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Pharmacology & Pharmacy (AREA)
  • Public Health (AREA)
  • Evolutionary Computation (AREA)
  • Epidemiology (AREA)
  • Databases & Information Systems (AREA)
  • Bioethics (AREA)
  • Software Systems (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Artificial Intelligence (AREA)
  • Biochemistry (AREA)
  • Genetics & Genomics (AREA)
  • Molecular Biology (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Immunology (AREA)
  • Peptides Or Proteins (AREA)
GB2401655.2A 2021-07-08 2022-07-08 Antibody competition model using affinities of hidden variables Pending GB2623274A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202163219578P 2021-07-08 2021-07-08
PCT/US2022/036517 WO2023009293A2 (en) 2021-07-08 2022-07-08 Antibody competition model using hidden variable affinities

Publications (2)

Publication Number Publication Date
GB202401655D0 GB202401655D0 (en) 2024-03-20
GB2623274A true GB2623274A (en) 2024-04-10

Family

ID=84785421

Family Applications (1)

Application Number Title Priority Date Filing Date
GB2401655.2A Pending GB2623274A (en) 2021-07-08 2022-07-08 Antibody competition model using affinities of hidden variables

Country Status (11)

Country Link
US (1) US20250364074A1 (https=)
EP (1) EP4367676A2 (https=)
JP (1) JP2024526314A (https=)
KR (1) KR20240025697A (https=)
CN (1) CN117882137A (https=)
AU (1) AU2022320541A1 (https=)
CA (1) CA3225236A1 (https=)
GB (1) GB2623274A (https=)
IL (1) IL309983A (https=)
MX (1) MX2024000443A (https=)
WO (1) WO2023009293A2 (https=)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117334247B (zh) * 2023-10-12 2025-07-08 北京百度网讯科技有限公司 抗原抗体亲和力预测模型的训练方法和抗体筛选方法

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070192039A1 (en) * 2006-02-16 2007-08-16 Microsoft Corporation Shift-invariant predictions

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070192039A1 (en) * 2006-02-16 2007-08-16 Microsoft Corporation Shift-invariant predictions

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Mariette Awad ET AL, "Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers", In: "Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers", (2015-04-30), Apress *
Pittala Srivamshi ET AL, "Learning Context-aware Structural Representations to Predict Antigen and Antibody Binding Interfaces", bioRxiv, (2019-06-03), doi:10.1101/658054, Retrieved from the Internet: URL:https://www.biorxiv.org/content/10.1101/658054v1.full.pdf, [retrieved on 2021-11-18] *

Also Published As

Publication number Publication date
CA3225236A1 (en) 2023-02-02
WO2023009293A9 (en) 2023-04-06
US20250364074A1 (en) 2025-11-27
GB202401655D0 (en) 2024-03-20
MX2024000443A (es) 2024-03-13
JP2024526314A (ja) 2024-07-17
IL309983A (en) 2024-03-01
KR20240025697A (ko) 2024-02-27
AU2022320541A1 (en) 2024-02-15
WO2023009293A2 (en) 2023-02-02
CN117882137A (zh) 2024-04-12
WO2023009293A3 (en) 2023-05-19
EP4367676A2 (en) 2024-05-15

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