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Updated: Jul 4, 2025

Quantitative Analyses of all Influenza Type A Viral Hemagglutinins and Neuraminidases using Universal Antibodies in Simple Slot Blot Assays
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一个基于序列的机器学习模型,用于预测H3N2流感病毒的抗原距离.

Xingyi Li1,2, Yanyan Li1,2, Xuequn Shang1,2

  • 1School of Computer Science, Northwestern Polytechnical University, Xi'an, Shaanxi, China.

Frontiers in microbiology
|February 5, 2024
PubMed
概括

一种新的计算方法可以准确地预测流感A H3N2病毒的抗原性和演变. 这种方法有助于识别抗原变异和选择有效的疫苗候选人,提高疫苗对不断变化的病毒的疗效.

关键词:
反基因距离的距离.反基因漂移是指抗原漂移.抗原变体的抗原变体A型流感病毒H3N2病毒病毒抗原性预测预测

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