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Updated: Jun 9, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

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基于VGGNet卷积神经网络和灰级共发生矩阵的有效计算方法来预测自我相互作用的蛋白质

Dan-Hua Chu1, Ji-Yong An2, Xiao-Mei Nie3

  • 1School of Mathematics, China University of Mining and Technology, Xuzhou, Jiangsu, China.

Evolutionary bioinformatics online
|October 28, 2024
PubMed
概括

一种新的计算方法,VGGNGLCM,使用蛋白质序列数据准确预测自我相互作用蛋白质 (SIP). 这种方法为生物信息学研究提供了一个强大而高效的工具,其性能优于现有的模型.

关键词:
在GLCM PSSM PSSM这就是SIPs的意义.在VGGNet中,您可以使用VGGNet.

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