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深度转移学习用于跨膜蛋白质复合体的链际接触预测

Peicong Lin1, Yumeng Yan1, Huanyu Tao1

  • 1School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.

Nature communications
|August 15, 2023
PubMed
概括

DeepTMP是一种新的深度转移学习方法,可以准确地预测跨膜蛋白质复合体中的链际接触. 它利用来自非跨膜蛋白的预先训练的知识,提高了膜蛋白结构预测的准确性和稳定性.

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