基于蛋白质预训练的大型语言模型和分数顺序卷积神经网络的蛋白质-ATP结合位点的准确预测

Mengyao Guo1, Yuhang Tu1, Jiali Yu1

  • 1School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, 100083, China.

Scientific reports
|November 25, 2025
PubMed
概括

一种新的基于大型语言模型 (LLM) 的方法,PFDCNN,只使用蛋白质序列,准确地预测蛋白质-腺三酸盐 (ATP) 结合点. 这一进步有助于药物设计和疾病治疗,改善了对蛋白质-ATP相互作用的理解.

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