CN117882137A - 使用隐藏变量亲和力的抗体竞争模型 - Google Patents

使用隐藏变量亲和力的抗体竞争模型 Download PDF

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Publication number
CN117882137A
CN117882137A CN202280058393.4A CN202280058393A CN117882137A CN 117882137 A CN117882137 A CN 117882137A CN 202280058393 A CN202280058393 A CN 202280058393A CN 117882137 A CN117882137 A CN 117882137A
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CN
China
Prior art keywords
antibody
competition
hidden
antibodies
data
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
CN202280058393.4A
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English (en)
Chinese (zh)
Inventor
C·T·休斯
V·J·L·贝尔特兰德德普雷蒙德
T·R·多金
L·克拉夫特
S·E·哈尼埃
K·R·吉普森
T·古古尔扎
J·J·亚普
A·S·福特
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Abel Hiller Biotech
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Abel Hiller Biotech
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Application filed by Abel Hiller Biotech filed Critical Abel Hiller Biotech
Publication of CN117882137A publication Critical patent/CN117882137A/zh
Pending legal-status Critical Current

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    • 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)
CN202280058393.4A 2021-07-08 2022-07-08 使用隐藏变量亲和力的抗体竞争模型 Pending CN117882137A (zh)

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
CN117882137A true CN117882137A (zh) 2024-04-12

Family

ID=84785421

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202280058393.4A Pending CN117882137A (zh) 2021-07-08 2022-07-08 使用隐藏变量亲和力的抗体竞争模型

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
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
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
WO2023009293A3 (en) 2023-05-19
EP4367676A2 (en) 2024-05-15

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