- 专利标题: MACHINE LEARNING FOR PROTEIN BINDING SITES
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申请号: EP24160073.3申请日: 2019-11-29
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公开(公告)号: EP4354447A3公开(公告)日: 2024-06-19
- 发明人: MEYERS, Joshua , SEGLER, Marwin , SIMONOVSKY, Martin
- 申请人: BenevolentAI Technology Limited
- 申请人地址: GB London Greater London W1T 5HD 4-8 Maple Street
- 专利权人: BenevolentAI Technology Limited
- 当前专利权人: BenevolentAI Technology Limited
- 当前专利权人地址: GB London Greater London W1T 5HD 4-8 Maple Street
- 代理机构: Gill Jennings & Every LLP
- 优先权: GB 1819498 2018.11.29
- 分案原申请号: 19817177.9 2019.11.29
- 主分类号: G16B15/30
- IPC分类号: G16B15/30 ; G16B40/20
摘要:
A computer-implemented method of training a machine learning model to learn ligand binding similarities between protein binding sites is disclosed. The method comprises inputting to the machine learning model: a representation of a first binding site; a representation of a second binding site, wherein the representations of the first and second binding sites comprise structural information; and a label comprising an indication of ligand binding similarity between the first binding site and the second binding site. The method also comprises outputting from the machine model a similarity indicator based on the representations of the first and second binding sites; performing a comparison between the similarity indicator and the label; and updating the machine learning model based on the comparison.
公开/授权文献
- EP4354447A2 MACHINE LEARNING FOR PROTEIN BINDING SITES 公开/授权日:2024-04-17
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