CA3225236A1 - 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
CA3225236A1
CA3225236A1 CA3225236A CA3225236A CA3225236A1 CA 3225236 A1 CA3225236 A1 CA 3225236A1 CA 3225236 A CA3225236 A CA 3225236A CA 3225236 A CA3225236 A CA 3225236A CA 3225236 A1 CA3225236 A1 CA 3225236A1
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CA
Canada
Prior art keywords
competition
antibodies
hidden
data
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
CA3225236A
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English (en)
French (fr)
Inventor
Alexander Sewall FORD
Tomas GOGORZA
Stefan Edward HANNIE
Valentine Julie Layla BERTRAND DE PUYRAIMOND
Thomas Roderick DOCKING
Christopher Thaddeus Hughes
Kevin Richard JEPSON
Lucas KRAFT
Jordan John YAP
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 CA3225236A1 publication Critical patent/CA3225236A1/en
Pending legal-status Critical Current

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    • 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
    • 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
    • G16B40/20—Supervised 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
    • 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
    • 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)
CA3225236A 2021-07-08 2022-07-08 Antibody competition model using affinities of hidden variables Pending CA3225236A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US202163219578P 2021-07-08 2021-07-08
US63/219,578 2021-07-08
PCT/US2022/036517 WO2023009293A2 (en) 2021-07-08 2022-07-08 Antibody competition model using hidden variable affinities

Publications (1)

Publication Number Publication Date
CA3225236A1 true CA3225236A1 (en) 2023-02-02

Family

ID=84785421

Family Applications (1)

Application Number Title Priority Date Filing Date
CA3225236A Pending CA3225236A1 (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

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8706421B2 (en) * 2006-02-16 2014-04-22 Microsoft Corporation Shift-invariant predictions

Also Published As

Publication number Publication date
WO2023009293A9 (en) 2023-04-06
US20250364074A1 (en) 2025-11-27
GB202401655D0 (en) 2024-03-20
MX2024000443A (es) 2024-03-13
GB2623274A (en) 2024-04-10
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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