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Updated: May 8, 2025

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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化学化合物抗焦虑活性的多目标神经网络模型,使用多个对接能量光谱的相关卷积

P M Vassiliev1, M A Perfilev1, A V Golubeva1

  • 1Volgograd State Medical University, Volgograd, Russia.

Biomeditsinskaia khimiia
|December 24, 2024
PubMed
概括

人工智能方法加速了新抗焦虑物质的发现. 一个新的多目标模型能够高准确度地预测复合活性,帮助寻找有效的焦虑症治疗方法.

关键词:
抗焦虑活性 抗焦虑活性人工神经网络的人工神经网络相对应关系卷积卷积.停靠的能源光谱多目标亲和力多目标亲和力.多个分子对接的多个分子对接.

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