阿布-塞尔顿:利用多样性数据,为抗体设计提供高效的自动化计算管道
Jean V Sampaio1,2, Andrielly H S Costa1,2, Aline O Albuquerque1
1Laboratory of Structural and Functional Biology Applied to Biopharmaceuticals, Fundação Oswaldo Cruz, Fiocruz Ceará, Eusébio 61773-270, Brazil.
Journal of chemical information and modeling
|January 20, 2026
概括
Ab-SELDON是一种用于抗体设计的新计算工具. 它改善了抗体-抗原相互作用,通过更有效地探索更多的设计可能性来加速生物制药的开发.
科学领域:
- 生物制药开发 生物制药开发
- 计算生物学 计算生物学
- 免疫学 免疫学 免疫学
背景情况:
- 预测工具加速生物制药研究,但在抗体设计方面存在局限性.
- 目前的方法与有限的抗体结构,免疫性和受限制的帕拉托普探索作斗争.
研究的目的:
- 介绍Ab-SELDON,一种用于优化抗体-抗原相互作用的新型模块化管道.
- 在抗体设计中增强对帕拉托普化学和构造空间的探索.
主要方法:
- Ab-SELDON采用代优化,包括五个修改步骤:CDR和框架移植,以及突变发生.
- 该管道利用来自数百万公众人类抗体序列的多样性数据.
- 它通过探索化学和构造性帕拉托普空间来指导优化.
主要成果:
- 在抗HER2抗体优化中,Ab-SELDON增强了帕拉托普探索.
- 它稳定了模拟中的抗Gal-3BP抗体的抗体-抗原相互作用.
- 该管道准确地预测了大多数抗体-抗原突变的影响,包括增强亲和力的突变.
结论:
- Ab-SELDON提供了一种计算高效和自动化的方法,用于在体抗体设计.
- 这一管道通过改善抗体优化来促进生物制药开发.
- 这个免费可用的工具扩大了设计新型治疗抗体的可能性.
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