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Updated: Jun 26, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

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

Published on: January 26, 2024

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蛋白质具有融合特征,使用归属网络嵌入来预测蛋白质-蛋白质相互作用

Mei-Yuan Cao1, Suhaila Zainudin2, Kauthar Mohd Daud2

  • 1Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, 43600, Selangor, Malaysia. p116930@siswa.ukm.edu.my.

BMC genomics
|May 13, 2024
PubMed
概括

这项研究介绍了FFANE,这是一种结合蛋白质结构和序列数据的新方法,用于准确预测蛋白质-蛋白质相互作用 (PPI). 在多种物种中,FFANE显著提高了PPI预测准确度.

关键词:
功能融合学习的功能融合学习高斯核的核心是高斯核.莱文施泰因距离 距离蛋白质序列中的蛋白质序列.蛋白质与蛋白质相互作用的预测.

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