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滴定分析:用于用于多个无标签平台的高吞吐量绑定动力学数据分析工具

Kan Li^1,2, Richard H C Huntwork^1,2, Gillian Q Horn^1,2

¹Center for Human Systems Immunology, Duke University, Durham, North Carolina, 27701, USA.

Gates open research

|November 27, 2023

概括

一个新的Mathematica包,TitrationAnalysis,有效地分析来自SPR和BLI平台的无标签结合动力学数据. 这个工具准确地确定了生物分子相互作用的关联率和解离率常数.

科学领域:

生物物理学的生物物理.
生物化学生物化学
计算生物学计算生物学

背景情况:

像表面等离子体共振 (SPR) 和生物层干涉测量 (BLI) 这样的无标签技术对于研究双分子相互作用至关重要.
从这些平台上分析绑定动力学数据可能是复杂和耗时的.

研究的目的:

开发一个高通量分析工具,TitrationAnalysis,以高效准确地分析SPR和BLI结合动力学数据.
提供一个用户友好的解决方案,需要最小的脚本知识.

主要方法:

为Mathematica开发一个标化分析包.
使用Mathematica的非线性曲线拟合模块进行数据分析.
应用于来自Biacore T200,Carterra LSA和ForteBio Octet Red384平台的抗体-抗原结合数据.

主要成果:

定位分析准确地估计了关联 (k_a) 和解离 (k_d) 速率常数,以及明显的解离常数 (K_d).
结果与特定于仪器的商业分析软件所获得的结果非常相似.
该工具展示了高吞吐量和自动装配能力.

结论:

定位分析为生物分子相互作用的表征提供了一个强大的,多功能和准确的替代方案.
可定制输出方便下游数据质量控制,包括良好的临床实验室实践操作.
该工具提高了在多个平台上分析无标签结合动力学数据的效率.

关键词:

生物层干涉测量 (BIOLAYER INTERFEROMETRY) 是一种测量方法.表面等离子体共振是什么?抗体结合抗体结合高通量动力学分析分析非线性曲线适合的不线性曲线.

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