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Updated: May 11, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
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Published on: November 3, 2011

TIDGN:一种转移学习框架,用于预测具有高合规动态的内在无序蛋白的相互作用

Jing Xiao1, Guorong Hu1, Xiaozhou Zhou1

  • 1School of Physics, Zhejiang University, Hangzhou 310058, P. R. China.

Journal of chemical information and modeling
|May 13, 2025
PubMed
概括

本研究介绍了TIDGN,这是一种使用转移学习和图形网络来预测内在无序蛋白 (IDP) 相互作用的机器学习模型,克服了数据稀缺性,以更好地了解蛋白质行为和液体-液体相分离 (LLPS).

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