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Prediction of water and metal binding sites and their affinities by using the Fold-X force field

机译:利用Fold-X力场预测水和金属结合位点及其亲和力

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摘要

The empirical force field Fold-X was developed previously to allow rapid free energy calculations in proteins. Here, we present an enhanced version of the force field allowing prediction of the position of structural water molecules and metal ions, together called single atom ligands. Fold-X picks up 76% of water molecules found to interact with two or more polar atoms of proteins in high-resolution crystal structures and predicts their position to within 0.8 Å on average. The prediction of metal ion-binding sites have success rates between 90% and 97% depending on the metal, with an overall standard deviation on the position of binding of 0.3-0.6 Å. The following metals were included in the force field: Mg2+, Ca2+, Zn2+, Mn2+, and Cu2+. As a result, the current version of Fold-X can accurately decorate a protein structure with biologically important ions and water molecules. Additionally, the free energy of binding of Ca2+ and Zn2+ (i.e., the natural logarithm of the dissociation constant) and its dependence on ionic strength correlate reasonably well with the experimental data available in the literature, allowing one to discriminate between high- and low-affinity binding sites. Importantly, the accuracy of the energy prediction presented here is sufficient to efficiently discriminate between Mg2+, Ca2+, and Zn2+ binding.
机译:经验力场Fold-X先前已经开发出来,可以快速计算蛋白质中的自由能。在这里,我们介绍了力场的增强版本,可以预测结构水分子和金属离子(统称为单原子配体)的位置。 Fold-X会拾取76%的水分子,这些水分子与高分辨率晶体结构中的蛋白质的两个或多个极性原子相互作用,并预测它们的位置平均在0.8Å以内。根据金属的不同,对金属离子结合位点的预测成功率在90%到97%之间,结合位置的整体标准偏差为0.3-0.6。力场中包括以下金属:Mg2 +,Ca2 +,Zn2 +,Mn2 +和Cu2 +。结果,当前版本的Fold-X可以用生物学上重要的离子和水分子精确修饰蛋白质结构。此外,Ca2 +和Zn2 +结合的自由能(即解离常数的自然对数)及其对离子强度的依赖性与文献中提供的实验数据相当吻合,从而可以区分高和低亲和力结合位点。重要的是,此处介绍的能量预测的准确性足以有效区分Mg2 +,Ca2 +和Zn2 +结合。

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