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GTPase 的自由能模拟:古菌起始因子 2 与 GTP 和 GDP 的结合。

Free energy simulations of a GTPase: GTP and GDP binding to archaeal initiation factor 2.

机构信息

Laboratoire de Biochimie (CNRS UMR7654), Department of Biology, Ecole Polytechnique, CNRS, Palaiseau, France.

出版信息

J Phys Chem B. 2011 May 26;115(20):6749-63. doi: 10.1021/jp201934p. Epub 2011 May 2.

Abstract

Archaeal initiation factor 2 (aIF2) is a protein involved in the initiation of protein biosynthesis. In its GTP-bound, "ON" conformation, aIF2 binds an initiator tRNA and carries it to the ribosome. In its GDP-bound, "OFF" conformation, it dissociates from tRNA. To understand the specific binding of GTP and GDP and its dependence on the ON or OFF conformational state of aIF2, molecular dynamics free energy simulations (MDFE) are a tool of choice. However, the validity of the computed free energies depends on the simulation model, including the force field and the boundary conditions, and on the extent of conformational sampling in the simulations. aIF2 and other GTPases present specific difficulties; in particular, the nucleotide ligand coordinates a divalent Mg(2+) ion, which can polarize the electronic distribution of its environment. Thus, a force field with an explicit treatment of electronic polarizability could be necessary, rather than a simpler, fixed charge force field. Here, we begin by comparing a fixed charge force field to quantum chemical calculations and experiment for Mg(2+):phosphate binding in solution, with the force field giving large errors. Next, we consider GTP and GDP bound to aIF2 and we compare two fixed charge force fields to the recent, polarizable, AMOEBA force field, extended here in a simple, approximate manner to include GTP. We focus on a quantity that approximates the free energy to change GTP into GDP. Despite the errors seen for Mg(2+):phosphate binding in solution, we observe a substantial cancellation of errors when we compare the free energy change in the protein to that in solution, or when we compare the protein ON and OFF states. Finally, we have used the fixed charge force field to perform MDFE simulations and alchemically transform GTP into GDP in the protein and in solution. With a total of about 200 ns of molecular dynamics, we obtain good convergence and a reasonable statistical uncertainty, comparable to the force field uncertainty, and somewhat lower than the predicted GTP/GDP binding free energy differences. The sign and magnitudes of the differences can thus be interpreted at a semiquantitative level, and are found to be consistent with the experimental binding preferences of ON- and OFF-aIF2.

摘要

古菌起始因子 2(aIF2)是一种参与蛋白质生物合成起始的蛋白质。在其 GTP 结合的“ON”构象中,aIF2 结合起始 tRNA 并将其带到核糖体。在其 GDP 结合的“OFF”构象中,它与 tRNA 解离。为了理解 GTP 和 GDP 的特异性结合及其对 aIF2 的 ON 或 OFF 构象状态的依赖性,分子动力学自由能模拟(MDFE)是一种首选工具。然而,计算出的自由能的有效性取决于模拟模型,包括力场和边界条件,以及模拟中构象采样的程度。aIF2 和其他 GTPases 存在特定的困难;特别是,核苷酸配体配位二价 Mg(2+)离子,这可以使环境的电子分布极化。因此,需要具有明确电子极化处理的力场,而不是更简单的固定电荷力场。在这里,我们首先比较固定电荷力场与量子化学计算和实验,以研究 Mg(2+):在溶液中的磷酸盐结合,结果表明力场存在较大误差。接下来,我们考虑与 aIF2 结合的 GTP 和 GDP,并将两种固定电荷力场与最近的、可极化的 AMOEBA 力场进行比较,这里以简单的近似方式扩展该力场以包含 GTP。我们重点关注一种近似自由能的量,用于将 GTP 转化为 GDP。尽管在溶液中观察到 Mg(2+):磷酸盐结合存在误差,但当我们将蛋白质中的自由能变化与溶液中的变化进行比较,或者当我们比较蛋白质的 ON 和 OFF 状态时,我们观察到误差有很大的抵消。最后,我们使用固定电荷力场在蛋白质和溶液中进行 MDFE 模拟,并通过化学方法将 GTP 转化为 GDP。总共进行了约 200 ns 的分子动力学模拟,我们获得了良好的收敛性和合理的统计不确定性,与力场不确定性相当,略低于预测的 GTP/GDP 结合自由能差异。因此,可以在半定量水平上解释这些差异的符号和大小,并发现它们与 ON- 和 OFF-aIF2 的实验结合偏好一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e93/3097523/e2782682c22b/jp-2011-01934p_0001.jpg

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