JP7492524B2 - 機械学習支援ポリペプチド解析 - Google Patents
機械学習支援ポリペプチド解析 Download PDFInfo
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- JP7492524B2 JP7492524B2 JP2021546841A JP2021546841A JP7492524B2 JP 7492524 B2 JP7492524 B2 JP 7492524B2 JP 2021546841 A JP2021546841 A JP 2021546841A JP 2021546841 A JP2021546841 A JP 2021546841A JP 7492524 B2 JP7492524 B2 JP 7492524B2
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Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201962804034P | 2019-02-11 | 2019-02-11 | |
| US201962804036P | 2019-02-11 | 2019-02-11 | |
| US62/804,036 | 2019-02-11 | ||
| US62/804,034 | 2019-02-11 | ||
| PCT/US2020/017517 WO2020167667A1 (en) | 2019-02-11 | 2020-02-10 | Machine learning guided polypeptide analysis |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2022521686A JP2022521686A (ja) | 2022-04-12 |
| JP2022521686A5 JP2022521686A5 (https=) | 2023-02-16 |
| JP7492524B2 true JP7492524B2 (ja) | 2024-05-29 |
Family
ID=70005699
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021546841A Active JP7492524B2 (ja) | 2019-02-11 | 2020-02-10 | 機械学習支援ポリペプチド解析 |
Country Status (8)
| Country | Link |
|---|---|
| US (1) | US20220122692A1 (https=) |
| EP (1) | EP3924971A1 (https=) |
| JP (1) | JP7492524B2 (https=) |
| KR (1) | KR20210125523A (https=) |
| CN (1) | CN113412519B (https=) |
| CA (1) | CA3127965A1 (https=) |
| IL (1) | IL285402A (https=) |
| WO (1) | WO2020167667A1 (https=) |
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| CN118335182B (zh) * | 2024-01-10 | 2025-09-09 | 中国科学院天津工业生物技术研究所 | 基于深度学习的同源寡聚体亚基数量预测方法 |
| CN117854591A (zh) * | 2024-01-10 | 2024-04-09 | 中国人民解放军军事科学院军事医学研究院 | 一种基于自然语言处理技术的抗癌肽识别方法 |
| WO2025191795A1 (ja) * | 2024-03-14 | 2025-09-18 | Ntt株式会社 | 学習装置、信号生成装置、学習方法、信号生成方法及びプログラム |
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| CN119513721B (zh) * | 2024-11-04 | 2025-09-23 | 北京理工大学 | 一种用于旋转机械迁移诊断的无监督多源信息域自适应方法、设备、介质及产品 |
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| Xiaoyu Zhang et al.,Seq3seq fingerprint: towards end-to-end semi-supervised deep drug discovery,[onlin], ACM SIGBioinformatics Record, Volume 8, Issue 1,pp 1-10,[2023年12月5日検索],インターネット,<URL:https://arxiv.org/ftp/arxiv/papers/1701/1701.08318.pdf>,Article No.1, URL:https://doi.org/10.1145/3284959.3284960 |
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| US20220122692A1 (en) | 2022-04-21 |
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