一个针对抗体和纳米体设计的统一数据集,包括序列,结构和绑定亲和数据
Yikai Wu1, Xuejiao Liu2, Karin Hrovatin3
1Human Phenome Institute, Fudan University, Shanghai, China.
Scientific data
|February 21, 2026
概括
我们创建了抗体和纳米体设计数据集 (ANDD),整合了用于抗体和纳米体设计的各种数据. 这个统一的资源推进了深度生成模型,以改善治疗和诊断应用.
科学领域:
- 生物技术是生物技术.
- 计算生物学 计算生物学
- 免疫学 免疫学 免疫学
背景情况:
- 深度生成模型显示了抗体和纳米体设计的前景.
- 现有的数据集是碎片化和不一致的,限制了模型培训.
- 对于抗体和纳米体研究,需要一个统一的,全面的数据集.
研究的目的:
- 引入抗体和纳米体设计数据集 (ANDD).
- 创建一个统一的资源,整合序列,结构,抗原和亲和数据.
- 促进对抗体和纳米体设计的深度生成模型的培训.
主要方法:
- 将来自15个不同来源的数据整合到一个数据集中.
- 包括抗体/纳米体序列,结构数据和抗原序列.
- 使用ANTIPASTI模型进行结合性亲和度预测的增强亲和度数据.
主要成果:
- ANDD包括48,683个抗体/纳米体序列和24,941个结构条目.
- 该数据集包含12,575个抗原序列和9,557个亲和值.
- ANDD是抗体/纳米体-抗原对与亲和数据的最大数据集.
结论:
- ANDD解决了数据碎片化和不一致的挑战.
- 该数据集为训练深度生成模型提供了坚实的基础.
- ANDD能够更好地建模抗体/纳米体-抗原相互作用,用于新疗法开发.
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