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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| US63/175,495 | 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 | |
| US63/175,767 | 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 |
| US17/468,411 | 2021-09-07 | ||
| US17/703,958 US20220336057A1 (en) | 2021-04-15 | 2022-03-24 | Efficient voxelization for deep learning |
| US17/703,958 | 2022-03-24 | ||
| US17/703,935 | 2022-03-24 | ||
| 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) |
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| 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 |
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| BR112023021302A2 (pt) | 2023-12-19 |
| IL307671A (en) | 2023-12-01 |
| CA3215462A1 (fr) | 2022-10-20 |
| WO2022221589A1 (fr) | 2022-10-20 |
| JP2024513994A (ja) | 2024-03-27 |
| AU2022256491A1 (en) | 2023-10-26 |
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| EP4323990A1 (fr) | 2024-02-21 |
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