IL307661A - Multichannel protein vocalization for variant pathogenicity prediction using deep neural networks - Google Patents
Multichannel protein vocalization for variant pathogenicity prediction using deep neural networksInfo
- Publication number
- IL307661A IL307661A IL307661A IL30766123A IL307661A IL 307661 A IL307661 A IL 307661A IL 307661 A IL307661 A IL 307661A IL 30766123 A IL30766123 A IL 30766123A IL 307661 A IL307661 A IL 307661A
- Authority
- IL
- Israel
- Prior art keywords
- amino acid
- dimensional
- voxel
- voxels
- atoms
- Prior art date
Links
- 230000007918 pathogenicity Effects 0.000 title claims 4
- 108090000623 proteins and genes Proteins 0.000 title claims 4
- 102000004169 proteins and genes Human genes 0.000 title claims 4
- 238000013527 convolutional neural network Methods 0.000 title claims 2
- 150000001413 amino acids Chemical class 0.000 claims 46
- 125000004429 atom Chemical group 0.000 claims 27
- 125000002924 primary amino group Chemical group [H]N([H])* 0.000 claims 14
- 108700028369 Alleles Proteins 0.000 claims 13
- 125000003275 alpha amino acid group Chemical group 0.000 claims 8
- 239000002773 nucleotide Substances 0.000 claims 6
- 125000003729 nucleotide group Chemical group 0.000 claims 6
- 229910052799 carbon Inorganic materials 0.000 claims 4
- 238000000034 method Methods 0.000 claims 4
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 or three-dimensional molecular structures, e.g. structural or functional relations or structure alignment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- 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
- G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
-
- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Data Mining & Analysis (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Medical Informatics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Evolutionary Computation (AREA)
- Molecular Biology (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Bioinformatics & Computational Biology (AREA)
- Biotechnology (AREA)
- Evolutionary Biology (AREA)
- Computing Systems (AREA)
- Biomedical Technology (AREA)
- Mathematical Physics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Genetics & Genomics (AREA)
- Databases & Information Systems (AREA)
- Bioethics (AREA)
- Public Health (AREA)
- Crystallography & Structural Chemistry (AREA)
- Epidemiology (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Image Processing (AREA)
- Image Generation (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
Applications Claiming Priority (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US202163175495P | 2021-04-15 | 2021-04-15 | |
US202163175767P | 2021-04-16 | 2021-04-16 | |
US17/703,935 US20220336056A1 (en) | 2021-04-15 | 2022-03-24 | Multi-channel protein voxelization to predict variant pathogenicity using deep convolutional neural networks |
US17/703,958 US20220336057A1 (en) | 2021-04-15 | 2022-03-24 | Efficient voxelization for deep learning |
PCT/US2022/024916 WO2022221591A1 (fr) | 2021-04-15 | 2022-04-14 | Voxelisation de protéine à canaux multiples pour prédire une pathogénicité d'un variant à l'aide de réseaux neuronaux convolutifs profonds |
Publications (1)
Publication Number | Publication Date |
---|---|
IL307661A true IL307661A (en) | 2023-12-01 |
Family
ID=81448684
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
IL307661A IL307661A (en) | 2021-04-15 | 2022-04-14 | Multichannel protein vocalization for variant pathogenicity prediction using deep neural networks |
IL307667A IL307667A (en) | 2021-04-15 | 2022-04-14 | Vocalizetown is effective for deep learning |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
IL307667A IL307667A (en) | 2021-04-15 | 2022-04-14 | Vocalizetown is effective for deep learning |
Country Status (9)
Country | Link |
---|---|
EP (2) | EP4323991A1 (fr) |
JP (2) | JP2024513995A (fr) |
KR (2) | KR20230170680A (fr) |
AU (2) | AU2022259667A1 (fr) |
BR (2) | BR112023021266A2 (fr) |
CA (2) | CA3215520A1 (fr) |
IL (2) | IL307661A (fr) |
MX (2) | MX2023012227A (fr) |
WO (2) | WO2022221591A1 (fr) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116153404B (zh) * | 2023-02-28 | 2023-08-15 | 成都信息工程大学 | 一种单细胞ATAC-seq数据分析方法 |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2018350891B9 (en) * | 2017-10-16 | 2022-05-19 | 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 JP JP2023563033A patent/JP2024513995A/ja active Pending
- 2022-04-14 AU AU2022259667A patent/AU2022259667A1/en active Pending
- 2022-04-14 IL IL307661A patent/IL307661A/en unknown
- 2022-04-14 EP EP22726207.8A patent/EP4323991A1/fr active Pending
- 2022-04-14 BR BR112023021266A patent/BR112023021266A2/pt unknown
- 2022-04-14 BR BR112023021343A patent/BR112023021343A2/pt unknown
- 2022-04-14 MX MX2023012227A patent/MX2023012227A/es unknown
- 2022-04-14 WO PCT/US2022/024916 patent/WO2022221591A1/fr active Application Filing
- 2022-04-14 KR KR1020237034825A patent/KR20230170680A/ko unknown
- 2022-04-14 JP JP2023563036A patent/JP2024514894A/ja active Pending
- 2022-04-14 KR KR1020237034824A patent/KR20230170679A/ko unknown
- 2022-04-14 WO PCT/US2022/024918 patent/WO2022221593A1/fr active Application Filing
- 2022-04-14 IL IL307667A patent/IL307667A/en unknown
- 2022-04-14 CA CA3215520A patent/CA3215520A1/fr active Pending
- 2022-04-14 AU AU2022258691A patent/AU2022258691A1/en active Pending
- 2022-04-14 EP EP22720250.4A patent/EP4323989A1/fr active Pending
- 2022-04-14 MX MX2023012226A patent/MX2023012226A/es unknown
- 2022-04-14 CA CA3215514A patent/CA3215514A1/fr active Pending
Also Published As
Publication number | Publication date |
---|---|
WO2022221593A1 (fr) | 2022-10-20 |
EP4323991A1 (fr) | 2024-02-21 |
CA3215514A1 (fr) | 2022-10-20 |
MX2023012226A (es) | 2024-01-08 |
KR20230170679A (ko) | 2023-12-19 |
CA3215520A1 (fr) | 2022-10-20 |
AU2022258691A1 (en) | 2023-10-26 |
AU2022259667A1 (en) | 2023-10-26 |
BR112023021266A2 (pt) | 2023-12-12 |
KR20230170680A (ko) | 2023-12-19 |
BR112023021343A2 (pt) | 2023-12-19 |
EP4323989A1 (fr) | 2024-02-21 |
JP2024513995A (ja) | 2024-03-27 |
IL307667A (en) | 2023-12-01 |
WO2022221591A1 (fr) | 2022-10-20 |
MX2023012227A (es) | 2024-01-08 |
JP2024514894A (ja) | 2024-04-03 |
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