Brock Kelly, Talley Kemper, Coley Kacey, Kundrotas Petras, Alexov Emil
South Carolina Governor School for Science and Mathematics, Hartsville, South Carolina, USA.
Biophys J. 2007 Nov 15;93(10):3340-52. doi: 10.1529/biophysj.107.112367. Epub 2007 Aug 10.
In this article, we present a statistical analysis of the electrostatic properties of 298 protein-protein complexes and 356 domain-domain structures extracted from the previously developed database of protein complexes (ProtCom, http://www.ces.clemson.edu/compbio/protcom). For each structure in the dataset we calculated the total electrostatic energy of the binding and its two components, Coulombic and reaction field energy. It was found that in a vast majority of the cases (>90%), the total electrostatic component of the binding energy was unfavorable. At the same time, the Coulombic component of the binding energy was found to favor the complex formation while the reaction field component of the binding energy opposed the binding. It was also demonstrated that the components in a wild-type (WT) structure are optimized/anti-optimized with respect to the corresponding distributions, arising from random shuffling of the charged side chains. The degree of this optimization was assessed through the Z-score of WT energy in respect to the random distribution. It was found that the Z-scores of Coulombic interactions peak at a considerably negative value for all 654 cases considered while the Z-score of the reaction field energy varied among different types of complexes. All these findings indicate that the Coulombic interactions within WT protein-protein complexes are optimized to favor the complex formation while the total electrostatic energy predominantly opposes the binding. This observation was used to discriminate WT structures among sets of structural decoys and showed that the electrostatic component of the binding energy is not a good discriminator of the WT; while, Coulombic or reaction field energies perform better depending upon the decoy set used.
在本文中,我们对从先前开发的蛋白质复合物数据库(ProtCom,http://www.ces.clemson.edu/compbio/protcom)中提取的298个蛋白质 - 蛋白质复合物和356个结构域 - 结构域结构的静电性质进行了统计分析。对于数据集中的每个结构,我们计算了结合的总静电能及其两个组成部分,即库仑能和反应场能。结果发现,在绝大多数情况下(>90%),结合能的总静电分量是不利的。同时,发现结合能的库仑分量有利于复合物的形成,而结合能的反应场分量则阻碍结合。还证明了野生型(WT)结构中的各组成部分相对于由带电侧链随机洗牌产生的相应分布进行了优化/反优化。通过WT能量相对于随机分布的Z分数评估这种优化程度。发现在所有654个考虑的案例中,库仑相互作用的Z分数在相当大的负值处达到峰值,而反应场能的Z分数在不同类型的复合物中有所不同。所有这些发现表明,野生型蛋白质 - 蛋白质复合物中的库仑相互作用经过优化以有利于复合物的形成,而总静电能主要阻碍结合。这一观察结果被用于在结构诱饵集中区分野生型结构,结果表明结合能的静电分量不是野生型的良好判别指标;而库仑能或反应场能根据所使用的诱饵集表现得更好。