CN111798933B - 一种基于深度学习的分子对接判别方法 - Google Patents
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CN110767266A (zh) * | 2019-11-04 | 2020-02-07 | 山东省计算中心(国家超级计算济南中心) | 基于图卷积的面向ErbB靶向蛋白家族的打分函数构建方法 |
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US10657179B2 (en) * | 2017-09-01 | 2020-05-19 | X Development Llc | Bipartite graph structure |
US10622098B2 (en) * | 2017-09-12 | 2020-04-14 | Massachusetts Institute Of Technology | Systems and methods for predicting chemical reactions |
US11024403B2 (en) * | 2018-01-22 | 2021-06-01 | X Development Llc | Method for analyzing and optimizing metabolic networks |
US11537719B2 (en) * | 2018-05-18 | 2022-12-27 | Deepmind Technologies Limited | Deep neural network system for similarity-based graph representations |
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CN110767266A (zh) * | 2019-11-04 | 2020-02-07 | 山东省计算中心(国家超级计算济南中心) | 基于图卷积的面向ErbB靶向蛋白家族的打分函数构建方法 |
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Compound-protein interaction prediction with end-to-end learning of neural networks for graphs and sequences;Masashi Tsubaki et al.;《Bioinformatics》;第35卷(第2期);第3-6节,图1 * |
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Effective date of registration: 20240601 Address after: Room 109, Building 1, No. 1, Qingshan Road, High-tech Zone, Suzhou, Jiangsu 215000 Patentee after: Suzhou Limaoda Pharmaceutical Technology Co.,Ltd. Country or region after: China Address before: R2010, Unit 201, Building B6, Biopharmaceutical Industrial Park Phase I Project, No. 218 Xinghu Street, Industrial Park, Suzhou City, Jiangsu Province, 215000 Patentee before: Suzhou Puyi Intelligent Medical Technology Co.,Ltd. Country or region before: China |