Department of Chemistry, University of Southern California, Los Angeles, California 90089-0482, United States.
Acc Chem Res. 2012 Feb 21;45(2):265-75. doi: 10.1021/ar2001556. Epub 2011 Sep 1.
The unique properties of green fluorescent protein (GFP) have been harnessed in a variety of bioimaging techniques, revolutionizing many areas of the life sciences. Molecular-level understanding of the underlying photophysics provides an advantage in the design of new fluorescent proteins (FPs) with improved properties; however, because of its complexity, many aspects of the GFP photocycle remain unknown. In this Account, we discuss computational studies of FPs and their chromophores that provide qualitative insights into mechanistic details of their photocycle and the structural basis for their optical properties. In a reductionist framework, studies of well-defined model systems (such as isolated chromophores) help to understand their intrinsic properties, while calculations including protein matrix and/or solvent demonstrate, on the atomic level, how these properties are modulated by the environment. An interesting feature of several anionic FP chromophores in the gas phase is their low electron detachment energy. For example, the bright excited ππ* state of the model GFP chromophore (2.6 eV) lies above the electron detachment continuum (2.5 eV). Thus, the excited state is metastable with respect to electron detachment. This autoionizing character needs to be taken into account in interpreting gas-phase measurements and is very difficult to describe computationally. Solvation (and even microsolvation by a single water molecule) stabilizes the anionic states enough such that the resonance excited state becomes bound. However, even in stabilizing environments (such as protein or solution), the anionic chromophores have relatively low oxidation potentials and can act as light-induced electron donors. Protein appears to affect excitation energies very little (<0.1 eV), but alters ionization or electron detachment energies by several electron volts. Solvents (especially polar ones) have a pronounced effect on the chromophore's electronic states; for example, the absorption wavelength changes considerably, the ground-state barrier for cis-trans isomerization is reduced, and fluorescence quantum yield drops dramatically. Calculations reveal that these effects can be explained in terms of electrostatic interactions and polarization, as well as specific interactions such as hydrogen bonding. The availability of efficient computer implementations of predictive electronic structure methods is essential. Important challenges include developing faster codes (to enable better equilibrium sampling and excited-state dynamics modeling), creating algorithms for properties calculations (such as nonlinear optical properties), extending standard excited-state methods to autoionizing (resonance) states, and developing accurate QM/MM schemes. The results of sophisticated first-principle calculations can be interpreted in terms of simpler, qualitative molecular orbital models to explain general trends. In particular, an essential feature of the anionic GFP chromophore is an almost perfect resonance (mesomeric) interaction between two Lewis structures, giving rise to charge delocalization, bond-order scrambling, and, most importantly, allylic frontier molecular orbitals spanning the methine bridge. We demonstrate that a three-center Hückel-like model provides a useful framework for understanding properties of FPs. It can explain changes in absorption wavelength upon protonation or other structural modifications of the chromophore, the magnitude of transition dipole moment, barriers to isomerization, and even non-Condon effects in one- and two-photon absorption.
绿色荧光蛋白 (GFP) 的独特性质已被应用于各种生物成像技术中,彻底改变了生命科学的许多领域。对其光物理基础的分子水平理解为设计具有改进性能的新型荧光蛋白 (FP) 提供了优势;然而,由于其复杂性,GFP 光循环的许多方面仍然未知。在本报告中,我们讨论了 FP 及其发色团的计算研究,这些研究为其光循环的机制细节和其光学性质的结构基础提供了定性见解。在简化框架中,对定义明确的模型系统(如分离的发色团)的研究有助于理解其固有性质,而包括蛋白质基质和/或溶剂的计算则在原子水平上证明了这些性质如何受到环境的调节。几个阴离子 FP 发色团在气相中的一个有趣特征是它们的低电子离解能。例如,模型 GFP 发色团的亮激发ππ*态(2.6 eV)位于电子离解连续区(2.5 eV)之上。因此,激发态相对于电子离解是亚稳定的。在解释气相测量时需要考虑这种自电离特性,并且在计算上很难描述。溶剂化(甚至是单个水分子的微溶剂化)足以稳定阴离子态,使共振激发态成为束缚态。然而,即使在稳定的环境(如蛋白质或溶液)中,阴离子发色团也具有相对较低的氧化电位,并且可以充当光诱导的电子供体。蛋白质似乎对激发能的影响很小(<0.1 eV),但通过几个电子伏特改变离子化或电子离解能。溶剂(特别是极性溶剂)对发色团的电子态有明显的影响;例如,吸收波长变化很大,顺式-反式异构化的基态势垒降低,荧光量子产率显著下降。计算表明,这些效应可以用静电相互作用和极化来解释,以及氢键等特定相互作用。高效计算电子结构方法的可用性至关重要。重要的挑战包括开发更快的代码(以实现更好的平衡采样和激发态动力学建模)、创建属性计算算法(例如非线性光学性质)、将标准激发态方法扩展到自电离(共振)态,以及开发准确的 QM/MM 方案。复杂第一性原理计算的结果可以用更简单的定性分子轨道模型来解释,以解释一般趋势。特别是,阴离子 GFP 发色团的一个基本特征是两个刘易斯结构之间几乎完美的共振(离域)相互作用,导致电荷离域、键序混乱,最重要的是,烯丙基前线分子轨道跨越亚甲基桥。我们证明,三中心休克尔类似模型为理解 FP 的性质提供了一个有用的框架。它可以解释发色团的质子化或其他结构修饰引起的吸收波长变化、跃迁偶极矩的大小、异构化的势垒,甚至单光子和双光子吸收中的非康顿效应。