IL307671B1
Deep convolutional neural networks to predict variant pathogenicity using three-dimensional (3d) protein structures
Abstract
This record has no abstract on file.
Term
No projected expiry on record.
- Priority
- Filed
- Published
- Today
48 members in 12 offices
Priority claims13
| Document | Office | Kind | Date |
|---|---|---|---|
| 17232056 | United States of America | – | |
| 63175495 | United States of America | – | |
| 202117232056 | United States of America | A | |
| 202163175495 | United States of America | P | |
| 63175767 | United States of America | – | |
| 202163175767 | United States of America | P | |
| 17468411 | United States of America | – | |
| 202117468411 | United States of America | A | |
| 17703935 | United States of America | – | |
| 17703958 | United States of America | – | |
| 202217703935 | United States of America | A | |
| 202217703958 | United States of America | A | |
| 2022024913 | United States of America | W |
Members48
| Document | Office | Kind | |
|---|---|---|---|
| CA3215462A1 | Canada | A1 | |
| CA3215514A1 | Canada | A1 | |
| CA3215520A1 | Canada | A1 | |
| US2022336054A1 | United States of America | A1 | |
| US2022336055A1 | United States of America | A1 | |
| US2022336056A1 | United States of America | A1 | |
| US2022336057A1 | United States of America | A1 | |
| WO2022221587A1 | World Intellectual Property Organization (WIPO) | A1 | |
| WO2022221589A1 | World Intellectual Property Organization (WIPO) | A1 | |
| WO2022221591A1 | World Intellectual Property Organization (WIPO) | A1 | |
| WO2022221593A1 | World Intellectual Property Organization (WIPO) | A1 | |
| US11515010B2 | United States of America | B2 | |
| US2023047347A1 | United States of America | A1 | |
| AU2022256491A1 | Australia | A1 | |
| AU2022258691A1 | Australia | A1 | |
| AU2022259667A1 | Australia | A1 | |
| CN117121110A | China | A | |
| IL307661A | Israel | A | |
| IL307667A | Israel | A | |
| IL307671A | Israel | A | |
| CN117178326A | China | A | |
| CN117178327A | China | A | |
| BR112023021266A2 | Brazil | A2 | |
| BR112023021302A2 | Brazil | A2 | |
| BR112023021343A2 | Brazil | A2 | |
| KR20230170679A | Republic of Korea | A | |
| KR20230170680A | Republic of Korea | A | |
| KR20230171930A | Republic of Korea | A | |
| MX2023012226A | Mexico | A | |
| MX2023012226A | Mexico | A | |
| MX2023012227A | Mexico | A | |
| MX2023012227A | Mexico | A | |
| MX2023012228A | Mexico | A | |
| MX2023012228A | Mexico | A | |
| EP4323989A1 | European Patent Office (EPO) | A1 | |
| EP4323990A1 | European Patent Office (EPO) | A1 | |
| EP4323991A1 | European Patent Office (EPO) | A1 | |
| JP2024513994A | Japan | A | |
| JP2024513995A | Japan | A | |
| JP2024514894A | Japan | A | |
| US12217829B2 | United States of America | B2 | |
| IL307671B1This record | Israel | B1 | |
| JP7712387B2 | Japan | B2 | |
| ZA202309343B | South Africa | B | |
| IL307671B2 | Israel | B2 | |
| JP2025148468A | Japan | A | |
| US12444482B2 | United States of America | B2 | |
| JP7755105B2 | Japan | B2 |
Numbers
- Publication
- 307671
- Application
- 307671
Titles2
- English
- DEEP CONVOLUTIONAL NEURAL NETWORKS TO PREDICT VARIANT PATHOGENICITY USING THREE-DIMENSIONAL (3D) PROTEIN STRUCTURES
- Hebrew
- רשתות נויראליות עמוקות לניבוי פתוגניות של וריאנטים באמצעות מבני חלבון תלת מימדיים (3D)
Classification
- CPC, 5
- G16B20/00
- G16B40/20
- G16B15/00
- G16B20/20
- G16B50/00
- IPC, 5
- G16B20 20
- G16B15 00
- G16B40 20
- G16B50 00
- G16B20 00