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Ions and Inhibitors in the Binding Site of HIV Protease: Comparison of Monte Carlo Simulations and the Linearized Poisson-Boltzmann Theory

机译:HIV蛋白酶结合位点中的离子和抑制剂:蒙特卡罗模拟与线性化泊松玻耳兹曼理论的比较

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摘要

Proteins can be influenced strongly by the electrolyte in which they are dissolved, and we wish to model, understand, and ultimately control such ionic effects. Relatively detailed Monte Carlo (MC) ion simulations are needed to capture biologically important properties of ion channels, but a simpler treatment of ions, the linearized Poisson-Boltzmann (LPB) theory, is often used to model processes such as binding and folding, even in settings where the LPB theory is expected to be inaccurate. This study uses MC simulations to assess the reliability of the LPB theory for such a system, the constrained, anionic active site of HIV protease. We study the distributions of ions in and around the active site, as well as the energetics of displacing ions when a protease inhibitor is inserted into the active site. The LPB theory substantially underestimates the density of counterions in the active site when divalent cations are present. It also underestimates the energy cost of displacing these counterions, but the error is not consequential because the energy cost is less than kBT, according to the MC calculations. Thus, the LPB approach will often be suitable for studying energetics, but the more detailed MC approach is critical when ionic distributions and fluxes are at issue.
机译:蛋白质可能会受到溶解于其中的电解质的强烈影响,因此我们希望建模,理解并最终控制这种离子作用。需要相对详细的Monte Carlo(MC)离子模拟来捕获离子通道的生物学重要特性,但是通常使用线性化的Poisson-Boltzmann(LPB)理论对离子进行更简单的处理来对诸如结合和折叠等过程进行建模,甚至在预期LPB理论不准确的环境中。这项研究使用MC模拟来评估LPB理论对于这种系统(HIV蛋白酶的受约束阴离子活性位点)的可靠性。我们研究了离子在活性位点及其周围的分布,以及当蛋白酶抑制剂插入活性位点时置换离子的能量。当存在二价阳离子时,LPB理论大大低估了活性位点中抗衡离子的密度。根据MC计算,它还低估了置换这些抗衡离子的能源成本,但误差并不大,因为能源成本低于kBT。因此,LPB方法通常适合于研究高能学,但是,当离子分布和通量存在问题时,更详细的MC方法至关重要。

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