Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah84602, United States.
J Proteome Res. 2023 Feb 3;22(2):605-614. doi: 10.1021/acs.jproteome.2c00619. Epub 2023 Jan 27.
The structure of a protein defines its function and integrity and correlates with the protein folding stability (PFS). Quantifying PFS allows researchers to assess differential stability of proteins in different disease or ligand binding states, providing insight into protein efficacy and potentially serving as a metric of protein quality. There are a number of mass spectrometry (MS)-based methods to assess PFS, such as hermal rotein rofiling (TPP), tability of roteins from ates of idation (SPROX), and odination rotein tability ssay (IPSA). Despite the critical value that PFS studies add to the understanding of mechanisms of disease and treatment development, proteomics research is still primarily dominated by concentration-based studies. We found that a major reason for the lack of PFS studies is the lack of a user-friendly data processing tool. Here we present the first user-friendly software, C with a graphical user interface for calculating PFS. Besides calculating site-specific PFS of a given protein from chemical denature folding stability assays, C is also compatible with thermal denature folding stability assays. C also includes a set of data visualization tools to help identify changes in PFS across protein sequences and in between different treatment conditions. We expect the introduction of C to lower the barrier of entry for researchers to investigate PFS, promoting the usage of PFS in studies. In the long run, we expect this increase in PFS research to accelerate our understanding of the pathogenesis and pathophysiology of disease.
蛋白质的结构决定了其功能和完整性,并与蛋白质折叠稳定性(PFS)相关。定量测定 PFS 可以让研究人员评估不同疾病或配体结合状态下蛋白质的稳定性差异,深入了解蛋白质的功效,并可能成为蛋白质质量的衡量标准。有许多基于质谱(MS)的方法可用于评估 PFS,例如热蛋白质 profiling(TPP)、氧化状态下蛋白质稳定性(SPROX)和缀合蛋白质稳定性测定(IPSA)。尽管 PFS 研究对了解疾病机制和治疗开发具有重要价值,但蛋白质组学研究仍然主要以基于浓度的研究为主。我们发现,缺乏 PFS 研究的一个主要原因是缺乏用户友好的数据处理工具。在这里,我们介绍了第一个具有图形用户界面的用户友好型软件 C,用于计算 PFS。除了从化学变性折叠稳定性测定中计算特定位置的 PFS 外,C 还与热变性折叠稳定性测定兼容。C 还包括一组数据可视化工具,可帮助识别蛋白质序列之间和不同处理条件之间 PFS 的变化。我们希望引入 C 可以降低研究人员研究 PFS 的门槛,促进 PFS 在研究中的应用。从长远来看,我们预计这种增加 PFS 研究的做法将加速我们对疾病发病机制和病理生理学的理解。