IL307671A - Deep neural networks for predicting pathogenicity of variants using three-dimensional (3D) protein structures - Google Patents
Deep neural networks for predicting pathogenicity of variants using three-dimensional (3D) protein structuresInfo
- Publication number
- IL307671A IL307671A IL307671A IL30767123A IL307671A IL 307671 A IL307671 A IL 307671A IL 307671 A IL307671 A IL 307671A IL 30767123 A IL30767123 A IL 30767123A IL 307671 A IL307671 A IL 307671A
- Authority
- IL
- Israel
- Prior art keywords
- amino acid
- amino acids
- voxel
- voxels
- nearest
- Prior art date
Links
- 108090000623 proteins and genes Proteins 0.000 title claims 10
- 102000004169 proteins and genes Human genes 0.000 title claims 10
- 230000007918 pathogenicity Effects 0.000 title claims 3
- 238000013527 convolutional neural network Methods 0.000 title 1
- 150000001413 amino acids Chemical class 0.000 claims 43
- 125000004429 atom Chemical group 0.000 claims 20
- 125000002924 primary amino group Chemical group [H]N([H])* 0.000 claims 11
- 238000000034 method Methods 0.000 claims 7
- 108700028369 Alleles Proteins 0.000 claims 6
- 125000003275 alpha amino acid group Chemical group 0.000 claims 5
- 229910052799 carbon Inorganic materials 0.000 claims 4
- 230000001717 pathogenic effect Effects 0.000 claims 3
- 238000013528 artificial neural network Methods 0.000 claims 2
- 238000002864 sequence alignment Methods 0.000 claims 2
Classifications
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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
-
- 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
-
- 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
-
- 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
- G16B50/00—ICT programming tools or database systems specially adapted for bioinformatics
Landscapes
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Medical Informatics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Biophysics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Biotechnology (AREA)
- General Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Chemical & Material Sciences (AREA)
- Databases & Information Systems (AREA)
- Bioethics (AREA)
- Genetics & Genomics (AREA)
- Epidemiology (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- Artificial Intelligence (AREA)
- Molecular Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Analytical Chemistry (AREA)
- Crystallography & Structural Chemistry (AREA)
- Evolutionary Computation (AREA)
- Public Health (AREA)
- Software Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Peptides Or Proteins (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Applications Claiming Priority (7)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202163175495P | 2021-04-15 | 2021-04-15 | |
| US17/232,056 US20220336054A1 (en) | 2021-04-15 | 2021-04-15 | Deep Convolutional Neural Networks to Predict Variant Pathogenicity using Three-Dimensional (3D) Protein Structures |
| US202163175767P | 2021-04-16 | 2021-04-16 | |
| 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 US20220336056A1 (en) | 2021-04-15 | 2022-03-24 | Multi-channel protein voxelization to predict variant pathogenicity using deep convolutional neural networks |
| 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 |
|---|---|
| IL307671A true IL307671A (en) | 2023-12-01 |
Family
ID=81580106
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| IL307671A IL307671A (en) | 2021-04-15 | 2022-04-14 | Deep neural networks for predicting pathogenicity of variants using three-dimensional (3D) protein structures |
Country Status (8)
| Country | Link |
|---|---|
| EP (1) | EP4323990A1 (fr) |
| JP (1) | JP2024513994A (fr) |
| KR (1) | KR20230171930A (fr) |
| AU (1) | AU2022256491A1 (fr) |
| BR (1) | BR112023021302A2 (fr) |
| CA (1) | CA3215462A1 (fr) |
| IL (1) | IL307671A (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 (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| 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 |
-
2022
- 2022-04-14 WO PCT/US2022/024911 patent/WO2022221587A1/fr active Application Filing
- 2022-04-14 EP EP22721220.6A patent/EP4323990A1/fr active Pending
- 2022-04-14 AU AU2022256491A patent/AU2022256491A1/en active Pending
- 2022-04-14 CA CA3215462A patent/CA3215462A1/fr active Pending
- 2022-04-14 WO PCT/US2022/024913 patent/WO2022221589A1/fr active Application Filing
- 2022-04-14 KR KR1020237034175A patent/KR20230171930A/ko unknown
- 2022-04-14 JP JP2023563032A patent/JP2024513994A/ja active Pending
- 2022-04-14 BR BR112023021302A patent/BR112023021302A2/pt unknown
- 2022-04-14 IL IL307671A patent/IL307671A/en unknown
Also Published As
| Publication number | Publication date |
|---|---|
| BR112023021302A2 (pt) | 2023-12-19 |
| CA3215462A1 (fr) | 2022-10-20 |
| WO2022221589A1 (fr) | 2022-10-20 |
| JP2024513994A (ja) | 2024-03-27 |
| KR20230171930A (ko) | 2023-12-21 |
| AU2022256491A1 (en) | 2023-10-26 |
| WO2022221587A1 (fr) | 2022-10-20 |
| EP4323990A1 (fr) | 2024-02-21 |
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