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遗传编码氨基酸的分子内原子研究。III. 键和原子性质及其与实验的相关性,包括突变诱导的蛋白质稳定性变化和遗传编码。

Atoms-in-molecules study of the genetically encoded amino acids. III. Bond and atomic properties and their correlations with experiment including mutation-induced changes in protein stability and genetic coding.

作者信息

Matta Chérif F, Bader Richard F W

机构信息

Lash Miller Chemical Laboratories, Chemistry Department, University of Toronto, Toronto, Canada.

出版信息

Proteins. 2003 Aug 15;52(3):360-99. doi: 10.1002/prot.10414.

Abstract

This article presents a study of the molecular charge distributions of the genetically encoded amino acids (AA), one that builds on the previous determination of their equilibrium geometries and the demonstrated transferability of their common geometrical parameters. The properties of the charge distributions are characterized and given quantitative expression in terms of the bond and atomic properties determined within the quantum theory of atoms-in-molecules (QTAIM) that defines atoms and bonds in terms of the observable charge density. The properties so defined are demonstrated to be remarkably transferable, a reflection of the underlying transferability of the charge distributions of the main chain and other groups common to the AA. The use of the atomic properties in obtaining an understanding of the biological functions of the AA, whether free or bound in a polypeptide, is demonstrated by the excellent statistical correlations they yield with experimental physicochemical properties. A property of the AA side chains of particular importance is the charge separation index (CSI), a quantity previously defined as the sum of the magnitudes of the atomic charges and which measures the degree of separation of positive and negative charges in the side chain of interest. The CSI values provide a correlation with the measured free energies of transfer of capped side chain analogues, from the vapor phase to aqueous solution, yielding a linear regression equation with r2 = 0.94. The atomic volume is defined by the van der Waals isodensity surface and it, together with the CSI, which accounts for the electrostriction of the solvent, yield a linear regression (r2 = 0.98) with the measured partial molar volumes of the AAs. The changes in free energies of transfer from octanol to water upon interchanging 153 pairs of AAs and from cyclohexane to water upon interchanging 190 pairs of AAs, were modeled using only three calculated parameters (representing electrostatic and volume contributions) yielding linear regressions with r2 values of 0.78 and 0.89, respectively. These results are a prelude to the single-site mutation-induced changes in the stabilities of two typical proteins: ubiquitin and staphylococcal nuclease. Strong quadratic correlations (r2 approximately 0.9) were obtained between DeltaCSI upon mutation and each of the two terms DeltaDeltaH and TDeltaDeltaS taken from recent and accurate differential scanning calorimetry experiments on ubiquitin. When the two terms are summed to yield DeltaDeltaG, the quadratic terms nearly cancel, and the result is a simple linear fit between DeltaDeltaG and DeltaCSI with r2 = 0.88. As another example, the change in the stability of staphylococcal nuclease upon mutation has been fitted linearly (r2 = 0.83) to the sum of a DeltaCSI term and a term representing the change in the van der Waals volume of the side chains upon mutation. The suggested correlation of the polarity of the side chain with the second letter of the AA triplet genetic codon is given concrete expression in a classification of the side chains in terms of their CSI values and their group dipole moments. For example, all amino acids with a pyrimidine base as their second letter in mRNA possess side-chain CSI < or = 2.8 (with the exception of Cys), whereas all those with CSI > 2.8 possess an purine base. The article concludes with two proposals for measuring and predicting molecular complementarity: van der Waals complementarity expressed in terms of the van der Waals isodensity surface and Lewis complementarity expressed in terms of the local charge concentrations and depletions defined by the topology of the Laplacian of the electron density. A display of the experimentally accessible Laplacian distribution for a folded protein would offer a clear picture of the operation of the "stereochemical code" proposed as the determinant in the folding process.

摘要

本文介绍了一项关于遗传编码氨基酸(AA)分子电荷分布的研究,该研究建立在先前对其平衡几何结构的测定以及其常见几何参数的可转移性已得到证明的基础之上。电荷分布的性质通过分子中原子量子理论(QTAIM)所确定的键和原子性质来表征并给出定量表达式,QTAIM根据可观测的电荷密度来定义原子和键。如此定义的性质被证明具有显著的可转移性,这反映了主链和AA共有的其他基团电荷分布的潜在可转移性。通过原子性质与实验物理化学性质产生的良好统计相关性,证明了利用原子性质来理解AA的生物学功能(无论是游离的还是在多肽中结合的)的可行性。AA侧链的一个特别重要的性质是电荷分离指数(CSI),该量先前被定义为原子电荷大小的总和,用于衡量目标侧链中正负电荷的分离程度。CSI值与测定的封端侧链类似物从气相转移到水溶液的自由能相关,得到一个线性回归方程,r² = 0.94。原子体积由范德华等密度面定义,它与考虑溶剂电致伸缩的CSI一起,与测定的AA的偏摩尔体积产生线性回归(r² = 0.98)。通过仅使用三个计算参数(代表静电和体积贡献)对153对AA互换时从辛醇到水以及190对AA互换时从环己烷到水的转移自由能变化进行建模,分别得到r²值为0.78和0.89的线性回归。这些结果是两个典型蛋白质(泛素和葡萄球菌核酸酶)单点突变诱导稳定性变化研究的前奏。在对泛素进行的最新且精确的差示扫描量热实验中,突变时的ΔCSI与ΔΔH和TΔΔS这两项之间获得了强二次相关性(r²约为0.9)。当将这两项相加得到ΔΔG时,二次项几乎抵消,结果是ΔΔG与ΔCSI之间的简单线性拟合,r² = 0.88。作为另一个例子,葡萄球菌核酸酶突变时稳定性的变化已与一个ΔCSI项和一个代表突变时侧链范德华体积变化的项的总和进行线性拟合(r² = 0.83)。根据侧链的CSI值及其基团偶极矩对侧链进行分类,具体体现了所提出的侧链极性与AA三联体遗传密码第二个字母之间的相关性。例如,mRNA中第二个字母为嘧啶碱基的所有氨基酸,其侧链CSI ≤ 2.8(除半胱氨酸外),而所有CSI > 2.8的氨基酸都含有嘌呤碱基。文章最后提出了两个测量和预测分子互补性的建议:以范德华等密度面表示的范德华互补性和以电子密度拉普拉斯算子拓扑定义的局部电荷浓度和耗尽表示的路易斯互补性。展示折叠蛋白的实验可及拉普拉斯分布将为作为折叠过程决定因素的“立体化学密码”的运作提供清晰的图像。

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