Analysis and Measurement Center, School of Pharmaceutical Sciences, Xiamen University, Xiamen 361001, PR China; Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen 361001, PR China.
Department of Oncology, the First Affiliated Hospital of Xiamen University, PR China.
Int J Biol Macromol. 2024 Nov;281(Pt 1):136043. doi: 10.1016/j.ijbiomac.2024.136043. Epub 2024 Oct 1.
Differential scanning fluorimetry (DSF) is widely used to assess protein thermal stability and protein-ligand interaction. However, its utility is often limited by the presence of detergents, which can affect hydrophobic binding. To tackle this issue, we developed an effective fluorescence-labeled DSF (FL-DSF) technique that tracks protein denaturation by monitoring the labeling fluorescence decrease, thus overcoming challenges typically encountered with traditional DSF methods. In this research, FL-DSF was first validated using Peroxisome Proliferators-Activated Receptor γ (PPARγ), Retinoid X Receptor α (RXRα), and Lysozyme, confirming its accuracy in determining melting curves. Expectedly, FL-DSF also exhibited strong compatibility with detergents in our investigations. Besides this, a new calculation method was proposed to characterize the protein denaturation process and evaluate protein-ligand binding. This mathematical model goes beyond traditional approaches, which simply treated the melting temperature (T) shift as a concentration-dependent variable. Instead, it comprehensively incorporates the influence of irreversible denaturation-induced native protein loss on the equilibrium of protein-ligand binding. This methodology was successfully applied into the evaluation of binding affinity for 2 classical binding systems of PPARγ-Rosiglitazone and RXRα-CD3254. It was also utilized for the following binding screening studies, leading to the discovery of promising ligands for PPARγ, RXRα, and Lysozyme.
差示扫描荧光法(DSF)广泛用于评估蛋白质热稳定性和蛋白质-配体相互作用。然而,其用途通常受到洗涤剂的限制,因为洗涤剂会影响疏水结合。为了解决这个问题,我们开发了一种有效的荧光标记 DSF(FL-DSF)技术,通过监测标记荧光的减少来跟踪蛋白质变性,从而克服了传统 DSF 方法通常遇到的挑战。在这项研究中,首先使用过氧化物酶体增殖物激活受体γ(PPARγ)、视黄醇 X 受体α(RXRα)和溶菌酶验证了 FL-DSF 的准确性,以确定熔解曲线。预期的是,FL-DSF 在我们的研究中也与洗涤剂具有很强的兼容性。除此之外,还提出了一种新的计算方法来描述蛋白质变性过程并评估蛋白质-配体结合。该数学模型超越了传统方法,传统方法只是将熔点(T)偏移视为浓度依赖变量。相反,它综合考虑了不可逆变性诱导的天然蛋白质损失对蛋白质-配体结合平衡的影响。该方法成功应用于 PPARγ-罗格列酮和 RXRα-CD3254 两个经典结合系统的结合亲和力评估。它还用于以下结合筛选研究,发现了对 PPARγ、RXRα 和溶菌酶有前途的配体。