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Updated: Feb 15, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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iDLDDG:使用集成的深度学习功能预测DNA结合蛋白中的误解突变导致的蛋白质稳定性变化

Xuan Yu1, Fang Ge2,3, Dong-Jun Yu3

  • 1Department of Computer Science, City University of Hong Kong, 83 Tat Chee Ave, Kowloon Tong, Hong Kong SAR(HKG), 999077, China.

Briefings in bioinformatics
|February 13, 2026
PubMed
概括

预测DNA结合蛋白中的误解突变对于理解疾病至关重要. 我们新的深度学习框架,iDLDDG,准确地区分对双链和单链DNA结合蛋白的影响,改善突变预测.

关键词:
这是一种DNA结合蛋白质.生物信息学是一种生物信息学.深度学习是一种深度学习.误解突变是一种错误的突变.蛋白DNA相互作用

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