Nguemaha Valery, Qin Sanbo, Zhou Huan-Xiang
Department of Physics and Institute of Molecular Biophysics, Florida State University, Tallahassee, FL, United States.
Department of Chemistry and Department of Physics, University of Illinois at Chicago, Chicago, IL, United States.
Front Mol Biosci. 2019 May 29;6:39. doi: 10.3389/fmolb.2019.00039. eCollection 2019.
The effects of macromolecular crowding on the thermodynamic properties of test proteins are determined by the latter's transfer free energies from a dilute solution to a crowded solution. The transfer free energies in turn are determined by effective protein-crowder interactions. When these interactions are modeled at the all-atom level, the transfer free energies may defy simple predictions. Here we investigated the dependence of the transfer free energy (Δμ) on crowder concentration. We represented both the test protein and the crowder proteins atomistically, and used a general interaction potential consisting of hard-core repulsion, non-polar attraction, and solvent-screened electrostatic terms. The chemical potential was rigorously calculated by FMAP (Qin and Zhou, 2014), which entails expressing the protein-crowder interaction terms as correlation functions and evaluating them via fast Fourier transform (FFT). To high accuracy, the transfer free energy can be decomposed into an excluded-volume component (Δμ), arising from the hard-core repulsion, and a soft-attraction component (Δμ), arising from non-polar and electrostatic interactions. The decomposition provides physical insight into crowding effects, in particular why such effects are very modest on protein folding stability. Further decomposition of Δμ into non-polar and electrostatic components does not work, because these two types of interactions are highly correlated in contributing to Δμ. We found that Δμ fits well to the generalized fundamental measure theory (Qin and Zhou, 2010), which accounts for atomic details of the test protein but approximates the crowder proteins as spherical particles. Most interestingly, Δμ has a nearly linear dependence on crowder concentration. The latter result can be understood within a perturbed virial expansion of Δμ (in powers of crowder concentration), with Δμ as reference. Whereas the second virial coefficient deviates strongly from that of the reference system, higher virial coefficients are close to their reference counterparts, thus leaving the linear term to make the dominant contribution to Δμ.
大分子拥挤对测试蛋白质热力学性质的影响由后者从稀溶液转移到拥挤溶液的自由能决定。而转移自由能又由有效的蛋白质-拥挤剂相互作用决定。当这些相互作用在全原子水平上建模时,转移自由能可能不符合简单的预测。在这里,我们研究了转移自由能(Δμ)对拥挤剂浓度的依赖性。我们对测试蛋白质和拥挤剂蛋白质都进行了原子水平的表示,并使用了一个由硬核排斥、非极性吸引和溶剂屏蔽静电项组成的一般相互作用势。化学势通过FMAP(Qin和Zhou,2014)严格计算,这需要将蛋白质-拥挤剂相互作用项表示为相关函数,并通过快速傅里叶变换(FFT)进行评估。为了达到高精度,转移自由能可以分解为一个由硬核排斥引起的排除体积分量(Δμ)和一个由非极性和静电相互作用引起的软吸引分量(Δμ)。这种分解为拥挤效应提供了物理见解,特别是为什么这些效应在蛋白质折叠稳定性上非常适度。将Δμ进一步分解为非极性和静电分量不起作用,因为这两种相互作用在对Δμ的贡献中高度相关。我们发现Δμ与广义基本度量理论(Qin和Zhou,2010)拟合得很好,该理论考虑了测试蛋白质的原子细节,但将拥挤剂蛋白质近似为球形颗粒。最有趣的是,Δμ对拥挤剂浓度几乎呈线性依赖。后一个结果可以在以Δμ为参考的Δμ的微扰维里展开(以拥挤剂浓度的幂次表示)中得到理解。虽然第二维里系数与参考系统有很大偏差,但更高阶的维里系数接近其参考对应项,因此线性项对Δμ起主要贡献。