Emerging approaches to investigating functional protein dynamics in modular redox enzymes: Nitric oxide synthase as a model system.

IF 4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Biological Chemistry Pub Date : 2025-03-01 Epub Date: 2025-02-08 DOI:10.1016/j.jbc.2025.108282
Ting Jiang, Megan C Thielges, Changjian Feng
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Abstract

Approximately 80% of eukaryotic and 65% of prokaryotic proteins are composed of multiple folding units (i.e., domains) connected by flexible linkers. These dynamic protein architectures enable diverse, essential functions such as electron transfer, respiration, and biosynthesis. This review critically assesses recent advancements in methods for studying protein dynamics, with a particular focus on modular, multidomain nitric oxide synthase (NOS) enzymes. Moving beyond traditional static "snapshots" of protein structures, current research emphasizes the dynamic nature of proteins, viewing them as flexible architectures modulated by conformational changes and interactions. In this context, the review discusses key developments in the integration of quantitative crosslinking mass spectrometry (qXL MS) with AlphaFold 2 predictions, which provides a powerful approach to disentangling NOS structural dynamics and understanding their modulation by external regulatory cues. Additionally, advances in site-specific infrared (IR) spectroscopy offer exciting potential in providing rich details about the conformational dynamics of NOSs in docked states. Moreover, optimization of genetic code expansion machinery enables the generation of genuine phosphorylated NOS enzymes, paving the way for detailed biophysical and functional analyses of phosphorylation's role in shaping NOS activity and structural flexibility; notably, this approach also empowers site-specific IR probe labeling with cyano groups. By embracing and leveraging AI-driven tools like AlphaFold 2 for structural and conformational modeling, alongside solution-based biophysical methods such as qXL MS and site-specific IR spectroscopy, researchers will gain integrative insights into functional protein dynamics. Collectively, these breakthroughs highlight the transformative potential of modern approaches in driving fundamental biological chemistry research.

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研究模块化氧化还原酶功能蛋白动力学的新方法:一氧化氮合酶作为模型系统。
大约80%的真核生物和65%的原核生物蛋白质是由多个折叠单元(即结构域)组成的,这些折叠单元由柔性连接体连接。这些动态的蛋白质结构,由连接区域促进,支持基本功能,如电子传递,呼吸和生物合成。这篇综述批判性地评估了蛋白质动力学研究方法的最新进展,特别关注模块化,多结构域一氧化氮合酶(NOS)酶。超越传统的静态蛋白质结构“快照”,当前的研究强调蛋白质的动态性质,将它们视为由构象变化和相互作用调节的灵活结构。在此背景下,本文讨论了定量交联质谱(qXL MS)与AlphaFold 2预测相结合的关键进展,这为解开NOS结构动力学并理解其受外部调节线索的调节提供了有力的方法。此外,位点特异性红外(IR)光谱的进展为提供对接状态下NOSs构象动力学的丰富细节提供了令人兴奋的潜力。此外,优化遗传密码扩展机制能够生成真正磷酸化的NOS酶,从而可以详细分析磷酸化在塑造NOS活性和结构灵活性方面的作用;值得注意的是,这种方法也使特定位点的红外探针标记与氰基。通过采用和利用人工智能驱动的工具,如AlphaFold 2进行结构和构象建模,以及基于解决方案的生物物理方法,如位点特异性红外光谱和qXL质谱,研究人员将获得对功能性蛋白质动力学的综合见解。总的来说,这些突破突出了现代方法在推动基础生物化学研究方面的变革潜力。
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来源期刊
Journal of Biological Chemistry
Journal of Biological Chemistry Biochemistry, Genetics and Molecular Biology-Biochemistry
自引率
4.20%
发文量
1233
期刊介绍: The Journal of Biological Chemistry welcomes high-quality science that seeks to elucidate the molecular and cellular basis of biological processes. Papers published in JBC can therefore fall under the umbrellas of not only biological chemistry, chemical biology, or biochemistry, but also allied disciplines such as biophysics, systems biology, RNA biology, immunology, microbiology, neurobiology, epigenetics, computational biology, ’omics, and many more. The outcome of our focus on papers that contribute novel and important mechanistic insights, rather than on a particular topic area, is that JBC is truly a melting pot for scientists across disciplines. In addition, JBC welcomes papers that describe methods that will help scientists push their biochemical inquiries forward and resources that will be of use to the research community.
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