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OPEP6: A New Constant-pH Molecular Dynamics Simulation Scheme with OPEP Coarse-Grained Force Field

机译:OPEP6:具有OPEP粗粒强制磁场的新恒氏PH分子动力学模拟方案

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The great importance of pH for molecular processes has motivated the continuous development of numerical methods to improve the physical description of molecular mechanisms in computer simulations. Although rigid titration models are able to provide several pieces of useful information, the coupling between the molecular conformational changes and the acid base equilibrium is necessary to more completely model the pH effects in biomolecules. Previously reported convergence issues with atomistic simulations indicated that a promising approach would require coarse-grained models. By means of the coupling between the successful OPEP force field for proteins with the fast proton titration scheme, we proposed a new protocol for constant-pH molecular dynamics simulations that takes advantage of both coarse-grained approaches to circumvent sampling difficulties faced by other numerical schemes and also to be able to properly describe electrostatic and structural properties at lower CPU costs. Here, we introduce this new protocol that defines now OPEP6 and its pK(a)'s benchmark for a set of representative proteins (HP36, BBL, HEWL, NTL9, and a protein G variant). In comparison with experimental measurements, our calculated pK(a) values have the average, maximum absolute, and root-mean square deviations of [0.3-1.1], [0.6-2.5], and [0.4-1.3] pH units, respectively, for these five studied proteins. These numbers are within the ones commonly observed when similar comparisons are done among different theoretical models and are slightly better than the accuracy obtained by a rigid model using the same titration engine. For BBL, the predicted pK(a) are closer to experimental results than other analyzed theoretical data. Structural properties were tested for insulin where separation distances between the groups were compared and found in agreement with experimental crystallographic data obtained at different pH conditions. These indicate the ability of the new OPEP to properly describe the system physics and open up more possibilities to study pH-mediated biological processes.
机译:pH值对于分子过程的高度重要性是促进了数值方法的连续发展,以改善计算机模拟中分子机制的物理描述。尽管刚性滴定模型能够提供几件有用的信息,但是将分子构象变化与酸基部平衡之间的偶联是必要的,以更完全模拟生物分子中的pH效应。先前报告了原子模拟的收敛问题表明,有希望的方法需要粗粒模型。借助于具有快速质子滴定方案的蛋白质的成功OPEP力场之间的耦合,我们提出了一种用于恒定-PP分子动力学模拟的新方案,其利用粗粒粒度的方法来规避其他数值方案所面临的难度并且还能够以较低的CPU成本正确描述静电和结构性。在这里,我们介绍了这种新的协议,该协议定义了一组代表性蛋白(HP36,BBL,HewL,NTL9和蛋白G变体)的一组代表性蛋白质的基准。与实验测量相比,我们计算的PK(A)值分别具有[0.3-1.1],[0.6-2.5]和[0.4-1.3] pH单位的平均值,最大绝对和根系平均方偏差,pH单位对于这五个研究的蛋白质。当在不同的理论模型之间进行类似的比较并且略高于使用相同滴定引擎的刚性模型获得的相似比较时,这些数字在通常观察到的那些。对于BBL,预测的PK(A)更接近实验结果而不是其他分析的理论数据。测试胰岛素的结构性质,其中比较组之间的分离距离,并与在不同pH条件下获得的实验结晶数据一致。这些表明新OPEP正确描述了系统物理的能力,并开辟了研究pH介导的生物过程的更多可能性。

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