Dynamic Features Control the Stabilization of the Green and Red Forms of the Chromophore in AzamiGreen Fluorescent Protein Variants

IF 1.8
Vladimir B. Krapivin, Roman А. Stepanyuk, Maria G. Khrenova
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Abstract

Fluorescent proteins find application as biocompatible, genetically encoded labels for visualization of living organisms tissues. Green fluorescent proteins (GFPs) are the most diverse, but proteins with red fluorescence have advantages, such as lower phototoxicity and better penetration into biological tissues. A promising approach is to obtain red fluorescent proteins (RFPs) from GFPs by introducing mutations that stabilize the oxidized chromophore state with an extended conjugated π-system. However, to date this remains a non-trivial task and experimental developments are carried out mainly by random mutagenesis. Development of descriptors obtained in molecular modeling can rationalize this field. Herein, we rely on experimental data on the AzamiGreen fluorescent protein and its variants that are oxidized to the red form. We perform classical molecular dynamics (MD) and combined quantum mechanics/molecular mechanics (QM/MM) simulations to determine structural and dynamic features that govern oxidation. We demonstrate that the red state is predominantly stabilized by interactions of polar lysine residues with chromophore oxygen atoms. Dynamic network analysis demonstrates that in red fluorescent proteins the chromophore motions are correlated with the movement of surrounding protein side chains to a higher extent than in green variants. The presence of different resonance forms of the chromophore determines the fluorescence band maximum value: a decrease in the phenolate form population leads to the red shift.
动态特性控制azamiggreen荧光蛋白变异体中绿色和红色发色团的稳定性
荧光蛋白发现应用作为生物相容性,遗传编码标签的可视化生物体组织。绿色荧光蛋白(gfp)是最多样化的,但具有红色荧光的蛋白质具有较低的光毒性和更好的渗透到生物组织中的优势。一种很有前途的方法是从gfp中获得红色荧光蛋白(rfp),通过引入突变来稳定氧化发色团的状态,并使用扩展共轭π体系。然而,到目前为止,这仍然是一项艰巨的任务,实验发展主要是通过随机诱变进行的。在分子建模中获得的描述符的发展可以使这一领域合理化。在这里,我们依赖于azamiggreen荧光蛋白及其被氧化为红色形式的变体的实验数据。我们执行经典分子动力学(MD)和结合量子力学/分子力学(QM/MM)模拟来确定控制氧化的结构和动态特征。我们证明了红色状态主要是由极性赖氨酸残基与发色团氧原子的相互作用稳定的。动态网络分析表明,在红色荧光蛋白中,发色团的运动与周围蛋白侧链的运动的相关性高于绿色变体。不同共振形式的发色团的存在决定了荧光带的最大值:酚酸盐形式种群的减少导致红移。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.60
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0.00%
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