Schuck Peter, To Samuel C, Zhao Huaying
Laboratory of Dynamics of Macromolecular Assembly, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA.
bioRxiv. 2023 May 14:2023.05.14.540690. doi: 10.1101/2023.05.14.540690.
Sedimentation velocity analytical ultracentrifugation (SV-AUC) is an indispensable tool for the study of particle size distributions in biopharmaceutical industry, for example, to characterize protein therapeutics and vaccine products. In particular, the diffusion-deconvoluted sedimentation coefficient distribution analysis, in the software SEDFIT, has found widespread applications due to its relatively high resolution and sensitivity. However, a lack of available software compatible with Good Manufacturing Practices (GMP) has hampered the use of SV-AUC in this regulatory environment. To address this, we have created an interface for SEDFIT so that it can serve as an automatically spawned module with controlled data input through command line parameters and output of key results in files. The interface can be integrated in custom GMP compatible software, and in scripts that provide documentation and meta-analyses for replicate or related samples, for example, to streamline analysis of large families of experimental data, such as binding isotherm analyses in the study of protein interactions. To test and demonstrate this approach we provide a MATLAB script mlSEDFIT.
沉降速度分析超离心法（SV-AUC）是生物制药行业研究颗粒大小分布不可或缺的工具，例如用于表征蛋白质治疗药物和疫苗产品。特别是，SEDFIT软件中的扩散反褶积沉降系数分布分析，因其相对较高的分辨率和灵敏度而得到广泛应用。然而，缺乏与良好生产规范（GMP）兼容的可用软件阻碍了SV-AUC在这种监管环境中的使用。为了解决这个问题，我们为SEDFIT创建了一个接口，使其可以作为一个自动生成的模块，通过命令行参数控制数据输入，并将关键结果输出到文件中。该接口可以集成到与GMP兼容的定制软件中，以及为重复或相关样本提供文档和荟萃分析的脚本中，例如，以简化对大量实验数据家族的分析，如蛋白质相互作用研究中的结合等温线分析。为了测试和演示这种方法，我们提供了一个MATLAB脚本mlSEDFIT。
