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Updated: Mar 12, 2026

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使用双级表示模型预测抗体-抗原亲和力

Ziyang Wang1, Yu Zhang1, Youli Zhang2

  • 1Institute of Artificial Intelligence, School of Informatics, State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, National Innovation Platform for Industry-Education Integration in Vaccine Research; and the NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, Xiamen University, Xiamen, Fujian China.

Bioinformatics (Oxford, England)
|March 11, 2026
PubMed
概括

DLP-Affinity是一个双层深度学习框架,使用序列数据改进了抗体-抗原亲和力预测. 它提高了各种抗体格式的准确性,即使结构信息有限.

关键词:
抗体-抗原相互作用深度学习 (Deep Learning) 是一种深度学习.蛋白质语言模型蛋白质表示学习学习学习

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