SG11202007854QA - Gan-cnn for mhc peptide binding prediction - Google Patents
Gan-cnn for mhc peptide binding predictionInfo
- Publication number
- SG11202007854QA SG11202007854QA SG11202007854QA SG11202007854QA SG11202007854QA SG 11202007854Q A SG11202007854Q A SG 11202007854QA SG 11202007854Q A SG11202007854Q A SG 11202007854QA SG 11202007854Q A SG11202007854Q A SG 11202007854QA SG 11202007854Q A SG11202007854Q A SG 11202007854QA
- Authority
- SG
- Singapore
- Prior art keywords
- cnn
- gan
- peptide binding
- mhc peptide
- binding prediction
- Prior art date
Links
- 108090000765 processed proteins & peptides Proteins 0.000 title 1
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
- 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
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- 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
- G06N3/094—Adversarial learning
-
- 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
- G16B20/30—Detection of binding sites or motifs
-
- 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
- G16B30/10—Sequence alignment; Homology search
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/30—Prediction of properties of chemical compounds, compositions or mixtures
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/40—Searching chemical structures or physicochemical data
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/50—Molecular design, e.g. of drugs
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/70—Machine learning, data mining or chemometrics
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/90—Programming languages; Computing architectures; Database systems; Data warehousing
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C60/00—Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C99/00—Subject matter not provided for in other groups of this subclass
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862631710P | 2018-02-17 | 2018-02-17 | |
| PCT/US2019/018434 WO2019161342A1 (en) | 2018-02-17 | 2019-02-18 | Gan-cnn for mhc peptide binding prediction |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| SG11202007854QA true SG11202007854QA (en) | 2020-09-29 |
Family
ID=65686006
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| SG11202007854QA SG11202007854QA (en) | 2018-02-17 | 2019-02-18 | Gan-cnn for mhc peptide binding prediction |
Country Status (11)
| Country | Link |
|---|---|
| US (1) | US20190259474A1 (en) |
| EP (1) | EP3753022A1 (en) |
| JP (2) | JP7047115B2 (en) |
| KR (2) | KR20230164757A (en) |
| CN (1) | CN112119464A (en) |
| AU (2) | AU2019221793B2 (en) |
| CA (1) | CA3091480A1 (en) |
| IL (1) | IL276730B1 (en) |
| MX (1) | MX2020008597A (en) |
| SG (1) | SG11202007854QA (en) |
| WO (1) | WO2019161342A1 (en) |
Families Citing this family (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB201718756D0 (en) * | 2017-11-13 | 2017-12-27 | Cambridge Bio-Augmentation Systems Ltd | Neural interface |
| US10706534B2 (en) * | 2017-07-26 | 2020-07-07 | Scott Anderson Middlebrooks | Method and apparatus for classifying a data point in imaging data |
| US11704573B2 (en) * | 2019-03-25 | 2023-07-18 | Here Global B.V. | Method, apparatus, and computer program product for identifying and compensating content contributors |
| US20200379814A1 (en) * | 2019-05-29 | 2020-12-03 | Advanced Micro Devices, Inc. | Computer resource scheduling using generative adversarial networks |
| KR20220019778A (en) * | 2019-06-12 | 2022-02-17 | 퀀텀-에스아이 인코포레이티드 | Techniques and related systems and methods for protein identification using machine learning |
| CN110598786B (en) * | 2019-09-09 | 2022-01-07 | 京东方科技集团股份有限公司 | Neural network training method, semantic classification method and semantic classification device |
| CN110875790A (en) * | 2019-11-19 | 2020-03-10 | 上海大学 | Wireless channel modeling implementation method based on generation countermeasure network |
| US20210150270A1 (en) * | 2019-11-19 | 2021-05-20 | International Business Machines Corporation | Mathematical function defined natural language annotation |
| JP2023501126A (en) * | 2019-11-22 | 2023-01-18 | エフ．ホフマン－ラ ロシュ アーゲー | Multi-instance learner for tissue image classification |
| AU2020403134B2 (en) * | 2019-12-12 | 2024-01-04 | Just-Evotec Biologics, Inc. | Generating protein sequences using machine learning techniques based on template protein sequences |
| CN111063391B (en) * | 2019-12-20 | 2023-04-25 | 海南大学 | Non-culturable microorganism screening system based on generation type countermeasure network principle |
| CN111402113B (en) * | 2020-03-09 | 2021-10-15 | 北京字节跳动网络技术有限公司 | Image processing method, image processing device, electronic equipment and computer readable medium |
| EP4128248A1 (en) * | 2020-03-23 | 2023-02-08 | Genentech, Inc. | Estimating pharmacokinetic parameters using deep learning |
| US20210295173A1 (en) * | 2020-03-23 | 2021-09-23 | Samsung Electronics Co., Ltd. | Method and apparatus for data-free network quantization and compression with adversarial knowledge distillation |
| US10885387B1 (en) * | 2020-08-04 | 2021-01-05 | SUPERB Al CO., LTD. | Methods for training auto-labeling device and performing auto-labeling by using hybrid classification and devices using the same |
| US10902291B1 (en) * | 2020-08-04 | 2021-01-26 | Superb Ai Co., Ltd. | Methods for training auto labeling device and performing auto labeling related to segmentation while performing automatic verification by using uncertainty scores and devices using the same |
| US20230253067A1 (en) * | 2020-08-28 | 2023-08-10 | Just-Evotec Biologics, Inc. | Implementing a generative machine learning architecture to produce training data for a classification model |
| CN112597705B (en) * | 2020-12-28 | 2022-05-24 | 哈尔滨工业大学 | Multi-feature health factor fusion method based on SCVNN |
| CN112309497B (en) * | 2020-12-28 | 2021-04-02 | 武汉金开瑞生物工程有限公司 | Method and device for predicting protein structure based on Cycle-GAN |
| KR102519341B1 (en) * | 2021-03-18 | 2023-04-06 | 재단법인한국조선해양기자재연구원 | Early detection system for uneven tire wear by real-time noise analysis and method thereof |
| US20220328127A1 (en) * | 2021-04-05 | 2022-10-13 | Nec Laboratories America, Inc. | Peptide based vaccine generation system with dual projection generative adversarial networks |
| US20220319635A1 (en) * | 2021-04-05 | 2022-10-06 | Nec Laboratories America, Inc. | Generating minority-class examples for training data |
| US20230083313A1 (en) * | 2021-09-13 | 2023-03-16 | Nec Laboratories America, Inc. | Peptide search system for immunotherapy |
| KR102507111B1 (en) * | 2022-03-29 | 2023-03-07 | 주식회사 네오젠티씨 | Apparatus and method for determining reliability of immunopeptidome information |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8121797B2 (en) * | 2007-01-12 | 2012-02-21 | Microsoft Corporation | T-cell epitope prediction |
| US9805305B2 (en) * | 2015-08-07 | 2017-10-31 | Yahoo Holdings, Inc. | Boosted deep convolutional neural networks (CNNs) |
| US11291532B2 (en) | 2016-07-27 | 2022-04-05 | James R. Glidewell Dental Ceramics, Inc. | Dental CAD automation using deep learning |
| CN106845471A (en) * | 2017-02-20 | 2017-06-13 | 深圳市唯特视科技有限公司 | A kind of vision significance Forecasting Methodology based on generation confrontation network |
| CN107590518A (en) | 2017-08-14 | 2018-01-16 | 华南理工大学 | A kind of confrontation network training method of multiple features study |
-
2019
- 2019-02-18 IL IL276730A patent/IL276730B1/en unknown
- 2019-02-18 CA CA3091480A patent/CA3091480A1/en active Pending
- 2019-02-18 SG SG11202007854QA patent/SG11202007854QA/en unknown
- 2019-02-18 KR KR1020237040230A patent/KR20230164757A/en active Search and Examination
- 2019-02-18 JP JP2020543800A patent/JP7047115B2/en active Active
- 2019-02-18 US US16/278,611 patent/US20190259474A1/en active Pending
- 2019-02-18 KR KR1020207026559A patent/KR102607567B1/en active Application Filing
- 2019-02-18 EP EP19709215.8A patent/EP3753022A1/en active Pending
- 2019-02-18 AU AU2019221793A patent/AU2019221793B2/en active Active
- 2019-02-18 WO PCT/US2019/018434 patent/WO2019161342A1/en active Application Filing
- 2019-02-18 CN CN201980025487.XA patent/CN112119464A/en active Pending
- 2019-02-18 MX MX2020008597A patent/MX2020008597A/en unknown
-
2022
- 2022-03-23 JP JP2022046973A patent/JP7459159B2/en active Active
- 2022-08-26 AU AU2022221568A patent/AU2022221568A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| MX2020008597A (en) | 2020-12-11 |
| JP7459159B2 (en) | 2024-04-01 |
| KR20230164757A (en) | 2023-12-04 |
| US20190259474A1 (en) | 2019-08-22 |
| WO2019161342A1 (en) | 2019-08-22 |
| JP2022101551A (en) | 2022-07-06 |
| EP3753022A1 (en) | 2020-12-23 |
| JP7047115B2 (en) | 2022-04-04 |
| AU2019221793B2 (en) | 2022-09-15 |
| IL276730A (en) | 2020-09-30 |
| RU2020130420A (en) | 2022-03-17 |
| KR20200125948A (en) | 2020-11-05 |
| KR102607567B1 (en) | 2023-12-01 |
| JP2021514086A (en) | 2021-06-03 |
| AU2019221793A1 (en) | 2020-09-17 |
| CN112119464A (en) | 2020-12-22 |
| AU2022221568A1 (en) | 2022-09-22 |
| IL276730B1 (en) | 2024-04-01 |
| RU2020130420A3 (en) | 2022-03-17 |
| CA3091480A1 (en) | 2019-08-22 |
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