• 专利标题: METHOD FOR TRAINING MOLECULAR BINDING MODEL, MOLECULAR SCREENING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM
  • 申请号: EP22882454.6
    申请日: 2022-08-31
  • 公开(公告)号: EP4303878A1
    公开(公告)日: 2024-01-10
  • 发明人: BIAN, YataoXU, Tingyang
  • 申请人: Tencent Technology (Shenzhen) Company Limited
  • 申请人地址: CN Shenzhen, Guangdong, 518057 35/F, Tencent Building Kejizhongyi Road Midwest District of Hi-tech Park Nanshan District
  • 代理机构: Gunzelmann, Rainer
  • 优先权: CN202111213797 20211019
  • 国际公布: WO2023065838 20230427
  • 主分类号: G16C20/30
  • IPC分类号: G16C20/30 G16B15/10
METHOD FOR TRAINING MOLECULAR BINDING MODEL, MOLECULAR SCREENING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM
摘要:
The present disclosure provides a method for training a molecular binding model, and a molecular screening method and apparatus, which can be applied in the field of intelligent medicine, and used to solve the problem of low molecular screening accuracy. The screening method comprises: using a molecular binding model to be trained, determining binding activity feature information, embedded feature information and eutectic feature information between a sample protein molecule and a sample candidate molecule, on the basis of protein feature information and molecular feature information; on the basis of the binding activity feature information, the embedded feature information and the eutectic feature information, determining a training loss of the molecule binding model to be trained; if the training loss meets a training target, outputting the molecular binding model as a trained molecular binding model, the trained molecular binding model being used to determine binding activity feature information between a target protein molecule and a target candidate molecule, so as to predict binding activity of a compound after the target protein molecule and the target candidate molecule are virtually bound.
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