AU2022320541A1 - Antibody competition model using affinities of hidden variables - Google Patents
Antibody competition model using affinities of hidden variables Download PDFInfo
- Publication number
- AU2022320541A1 AU2022320541A1 AU2022320541A AU2022320541A AU2022320541A1 AU 2022320541 A1 AU2022320541 A1 AU 2022320541A1 AU 2022320541 A AU2022320541 A AU 2022320541A AU 2022320541 A AU2022320541 A AU 2022320541A AU 2022320541 A1 AU2022320541 A1 AU 2022320541A1
- Authority
- AU
- Australia
- 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
Links
Classifications
-
- 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
Landscapes
- 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)
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 |
|---|---|
| AU2022320541A1 true AU2022320541A1 (en) | 2024-02-15 |
Family
ID=84785421
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2022320541A Pending AU2022320541A1 (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)
| 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)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8706421B2 (en) * | 2006-02-16 | 2014-04-22 | Microsoft Corporation | Shift-invariant predictions |
-
2022
- 2022-07-08 AU AU2022320541A patent/AU2022320541A1/en active Pending
- 2022-07-08 MX MX2024000443A patent/MX2024000443A/es unknown
- 2022-07-08 CA CA3225236A patent/CA3225236A1/en active Pending
- 2022-07-08 US US17/860,760 patent/US20250364074A1/en active Pending
- 2022-07-08 IL IL309983A patent/IL309983A/en unknown
- 2022-07-08 JP JP2024500487A patent/JP2024526314A/ja active Pending
- 2022-07-08 GB GB2401655.2A patent/GB2623274A/en active Pending
- 2022-07-08 CN CN202280058393.4A patent/CN117882137A/zh active Pending
- 2022-07-08 WO PCT/US2022/036517 patent/WO2023009293A2/en not_active Ceased
- 2022-07-08 EP EP22835505.3A patent/EP4367676A2/en active Pending
- 2022-07-08 KR KR1020247004782A patent/KR20240025697A/ko active Pending
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 |
| WO2023009293A2 (en) | 2023-02-02 |
| CN117882137A (zh) | 2024-04-12 |
| WO2023009293A3 (en) | 2023-05-19 |
| EP4367676A2 (en) | 2024-05-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10360517B2 (en) | Distributed hyperparameter tuning system for machine learning | |
| US10963802B1 (en) | Distributed decision variable tuning system for machine learning | |
| CN111797928B (zh) | 生成机器学习样本的组合特征的方法及系统 | |
| US20190236479A1 (en) | Method and apparatus for providing efficient testing of systems by using artificial intelligence tools | |
| KR101732319B1 (ko) | 목표 지향적 빅데이터 비즈니스 분석 프레임워크 | |
| van der Herten et al. | A fuzzy hybrid sequential design strategy for global surrogate modeling of high-dimensional computer experiments | |
| US20180137415A1 (en) | Predictive analytic methods and systems | |
| KR102170968B1 (ko) | 머신 러닝 기반의 근사모델 구축 방법 및 시스템 | |
| WO2013067461A2 (en) | Identifying associations in data | |
| Mgboh et al. | DEEPLY LEARN STUDENTS’ACADEMIC PERFORMANCE | |
| US20230267302A1 (en) | Large-Scale Architecture Search in Graph Neural Networks via Synthetic Data | |
| JP7639179B2 (ja) | データ分類のためのシステム及び方法 | |
| US20250364074A1 (en) | Antibody Competition Model Using Hidden Variable Affinities | |
| CN111858947A (zh) | 自动知识图谱嵌入方法和系统 | |
| WO2021000244A1 (en) | Hyperparameter recommendation for machine learning method | |
| Boeva et al. | Analysis of multiple DNA microarray datasets | |
| CN111949530B (zh) | 测试结果的预测方法、装置、计算机设备及存储介质 | |
| WO2024063913A1 (en) | Neural graphical models | |
| CN117037921A (zh) | 催化剂系统松弛能量预测模型构建方法和装置 | |
| Bharath et al. | An Innovative Software Bug Prediction System using Random Forest Algorithm for Enhanced Accuracy in Comparison with Logistic Regression Algorithm | |
| CN117391142A (zh) | 图神经网络模型设计方法和系统 | |
| US11609936B2 (en) | Graph data processing method, device, and computer program product | |
| US20250238715A1 (en) | Systems and methods for model selection using hyperparameter optimization combined with feature selection | |
| Mykytyshyn et al. | Validating architectural hypotheses in Neural Decision Trees with Neural Architecture Search | |
| Микитишин et al. | Validating Architectural Hypotheses in Neural Decision Trees with Neural Architecture Search |