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Updated: Sep 11, 2025

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

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PLMAM-PLA:一种使用预训练的语言模型和注意力机制来预测蛋白质 - 连接物结合 afinity 的方法

Kai Wang, Aijie Song, Fei Liu

    IEEE transactions on computational biology and bioinformatics
    |August 14, 2025
    PubMed
    概括

    我们开发了PLMAM-PLA,这是一种新的深度学习模型,用于仅使用蛋白序列和连接体结构来预测蛋白质-连接体结合亲和力. 这种基于序列的方法为药物发现应用提供了更有效的替代方案.

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    A Protocol for Computer-Based Protein Structure and Function Prediction16:41

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    相关概念视频

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