在依赖于上下文的亲和力成熟模型下计算B细胞系的诱导性:对顺序疫苗设计的应用
Joseph Mathews1, Elizabeth Van Itallie2, Kevin Wiehe2
1Department of Statistical Science, Duke University, Durham, NC, USA.
bioRxiv : the preprint server for biology
|October 31, 2023
概括
了解抗体诱导性对于疫苗设计至关重要. 这项研究使用随机建模来预测抗体序列演变,有助于选择有效的疫苗标.
科学领域:
- 免疫学 免疫学 免疫学
- 计算生物学 计算生物学
- 疫苗设计 疫苗设计
背景情况:
- 基于B细胞系的疫苗设计需要了解目标中和抗体的诱导性.
- 在亲和力成熟期间的体质突变涉及上下文依赖的突变率,使序列演变的标准概率计算复杂化.
结论:
- 这种计算框架通过预测抗体诱导性来增强B细胞疫苗设计.
- 开发的方法有助于为疫苗开发选择优质免疫原标.
- 这种方法为推进针对艾滋病毒等具有挑战性的病原体的疫苗设计提供了宝贵的工具.
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