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Updated: Jun 19, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

bindNode24:具有竞争力的结合性残留物预测,使用60%小的模型

Kyra Erckert1,2, Franz Birkeneder1, Burkhard Rost1,3,4

  • 1TUM School of Computation, Information and Technology, Bioinformatics & Computational Biology - i12, Boltzmannstr. 3, Garching, Munich 85748, Germany.

Computational and structural biotechnology journal
|April 1, 2025
PubMed
概括

bindNode24,一种新的图形神经网络方法,可以预测小分子,金属离子和核大分子的蛋白质结合残留物. 它集成结构数据,以更少的参数改进蛋白质功能预测.

关键词:
结合性残留物的预测.结合残留物 结合残留物嵌入式 嵌入式图形神经网络是一个神经网络.机器学习 机器学习它与蛋白质结合.蛋白质语言模型的模型

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