KR20230171930A - 3차원(3d) 단백질 구조들을 사용하여 변이체 병원성을 예측하기 위한 심층 콘볼루션 신경망들 - Google Patents
3차원(3d) 단백질 구조들을 사용하여 변이체 병원성을 예측하기 위한 심층 콘볼루션 신경망들 Download PDFInfo
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- KR20230171930A KR20230171930A KR1020237034175A KR20237034175A KR20230171930A KR 20230171930 A KR20230171930 A KR 20230171930A KR 1020237034175 A KR1020237034175 A KR 1020237034175A KR 20237034175 A KR20237034175 A KR 20237034175A KR 20230171930 A KR20230171930 A KR 20230171930A
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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
- G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
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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
- 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
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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 or three-dimensional molecular structures, e.g. structural or functional relations or structure alignment
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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
- G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
- G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
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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
- G16B50/00—ICT programming tools or database systems specially adapted for bioinformatics
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Applications Claiming Priority (13)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202163175495P | 2021-04-15 | 2021-04-15 | |
| US17/232,056 | 2021-04-15 | ||
| US17/232,056 US12217829B2 (en) | 2021-04-15 | 2021-04-15 | Artificial intelligence-based analysis of protein three-dimensional (3D) structures |
| US63/175,495 | 2021-04-15 | ||
| US202163175767P | 2021-04-16 | 2021-04-16 | |
| US63/175,767 | 2021-04-16 | ||
| US17/468,411 | 2021-09-07 | ||
| US17/468,411 US11515010B2 (en) | 2021-04-15 | 2021-09-07 | Deep convolutional neural networks to predict variant pathogenicity using three-dimensional (3D) protein structures |
| US17/703,958 US20220336057A1 (en) | 2021-04-15 | 2022-03-24 | Efficient voxelization for deep learning |
| US17/703,935 | 2022-03-24 | ||
| US17/703,935 US12444482B2 (en) | 2021-04-15 | 2022-03-24 | Multi-channel protein voxelization to predict variant pathogenicity using deep convolutional neural networks |
| US17/703,958 | 2022-03-24 | ||
| PCT/US2022/024913 WO2022221589A1 (fr) | 2021-04-15 | 2022-04-14 | Réseaux neuronaux convolutifs profonds pour prédire une pathogénicité d'un variant à l'aide de structures protéiques tridimensionnelles (3d) |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| KR20230171930A true KR20230171930A (ko) | 2023-12-21 |
Family
ID=81580106
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020237034175A Pending KR20230171930A (ko) | 2021-04-15 | 2022-04-14 | 3차원(3d) 단백질 구조들을 사용하여 변이체 병원성을 예측하기 위한 심층 콘볼루션 신경망들 |
Country Status (9)
| Country | Link |
|---|---|
| EP (1) | EP4323990A1 (fr) |
| JP (2) | JP7712387B2 (fr) |
| KR (1) | KR20230171930A (fr) |
| AU (1) | AU2022256491A1 (fr) |
| BR (1) | BR112023021302A2 (fr) |
| CA (1) | CA3215462A1 (fr) |
| IL (1) | IL307671B2 (fr) |
| MX (1) | MX2023012228A (fr) |
| WO (2) | WO2022221587A1 (fr) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116153435B (zh) * | 2023-04-21 | 2023-08-11 | 山东大学齐鲁医院 | 基于上色与三维结构的多肽预测方法及系统 |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9373059B1 (en) * | 2014-05-05 | 2016-06-21 | Atomwise Inc. | Systems and methods for applying a convolutional network to spatial data |
| US10423861B2 (en) * | 2017-10-16 | 2019-09-24 | Illumina, Inc. | Deep learning-based techniques for training deep convolutional neural networks |
| WO2019084559A1 (fr) * | 2017-10-27 | 2019-05-02 | Apostle, Inc. | Prédiction d'impact pathogène lié au cancer de mutations somatiques à l'aide de procédés basés sur un apprentissage profond |
| US11210554B2 (en) * | 2019-03-21 | 2021-12-28 | Illumina, Inc. | Artificial intelligence-based generation of sequencing metadata |
| CN110245685B (zh) * | 2019-05-15 | 2022-03-25 | 清华大学 | 基因组单位点变异致病性的预测方法、系统及存储介质 |
| US12217829B2 (en) * | 2021-04-15 | 2025-02-04 | Illumina, Inc. | Artificial intelligence-based analysis of protein three-dimensional (3D) structures |
| KR20230170680A (ko) * | 2021-04-15 | 2023-12-19 | 일루미나, 인코포레이티드 | 심층 콘볼루션 신경망들을 사용하여 변이체 병원성을 예측하기 위한 다중 채널 단백질 복셀화 |
-
2022
- 2022-04-14 IL IL307671A patent/IL307671B2/en unknown
- 2022-04-14 CA CA3215462A patent/CA3215462A1/fr active Pending
- 2022-04-14 JP JP2023563032A patent/JP7712387B2/ja active Active
- 2022-04-14 EP EP22721220.6A patent/EP4323990A1/fr active Pending
- 2022-04-14 WO PCT/US2022/024911 patent/WO2022221587A1/fr not_active Ceased
- 2022-04-14 BR BR112023021302A patent/BR112023021302A2/pt not_active Application Discontinuation
- 2022-04-14 MX MX2023012228A patent/MX2023012228A/es unknown
- 2022-04-14 KR KR1020237034175A patent/KR20230171930A/ko active Pending
- 2022-04-14 AU AU2022256491A patent/AU2022256491A1/en active Pending
- 2022-04-14 WO PCT/US2022/024913 patent/WO2022221589A1/fr not_active Ceased
-
2025
- 2025-07-10 JP JP2025116672A patent/JP7755105B2/ja active Active
Also Published As
| Publication number | Publication date |
|---|---|
| MX2023012228A (es) | 2024-01-08 |
| BR112023021302A2 (pt) | 2023-12-19 |
| CA3215462A1 (fr) | 2022-10-20 |
| IL307671B2 (en) | 2025-10-01 |
| WO2022221587A1 (fr) | 2022-10-20 |
| JP2025148468A (ja) | 2025-10-07 |
| WO2022221589A1 (fr) | 2022-10-20 |
| EP4323990A1 (fr) | 2024-02-21 |
| JP7712387B2 (ja) | 2025-07-23 |
| IL307671B1 (en) | 2025-06-01 |
| JP2024513994A (ja) | 2024-03-27 |
| AU2022256491A1 (en) | 2023-10-26 |
| JP7755105B2 (ja) | 2025-10-15 |
| IL307671A (en) | 2023-12-01 |
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| US11515010B2 (en) | Deep convolutional neural networks to predict variant pathogenicity using three-dimensional (3D) protein structures | |
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| US12444482B2 (en) | Multi-channel protein voxelization to predict variant pathogenicity using deep convolutional neural networks | |
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