晶体中蛋白质的质子化状态如何?恒定 pH 值分子动力学模拟的启示。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-11-14 Epub Date: 2024-10-31 DOI:10.1021/acs.jpcb.4c05947
Noora Aho, Gerrit Groenhof, Pavel Buslaev
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引用次数: 0

摘要

X 射线晶体学是确定蛋白质晶体中原子位置的重要技术。然而,由于蛋白质发挥作用的原生环境不是晶体,而是溶液,因此晶体结构是否代表蛋白质的功能形式并不先验。由于蛋白质的结构和功能通常与 pH 值密切相关,因此就出现了质子亲和性是否会受到结晶影响的问题。X 射线衍射通常不能显示质子,因此很难通过实验测量晶体中 pKa 的偏移。在此,我们研究是否可以通过恒定 pH 值分子动力学(MD)模拟进行硅滴定来解决这一难题。我们比较了蛋白质在溶液和晶体环境中的计算 pKa 值,并结合分子相互作用分析了这些差异。对于本研究中的蛋白质,pKa 值的偏移主要出现在晶体界面处的残基上,因为晶体环境比水中的环境更具极性。虽然收敛是一个障碍,但我们的模拟表明,原则上可以对蛋白质晶体常规应用恒定 pH MD,并比标准 MD 模拟更系统地评估结晶对蛋白质功能的影响。我们还强调了需要解决的技术难题,以使晶体的 MD 模拟更加可靠。
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What Is the Protonation State of Proteins in Crystals? Insights from Constant pH Molecular Dynamics Simulations.

X-ray crystallography is an important technique to determine the positions of atoms in a protein crystal. However, because the native environment in which proteins function, is not a crystal, but a solution, it is not a priori clear if the crystal structure represents the functional form of the protein. Because the protein structure and function often depend critically on the pH, the question arises whether proton affinities are affected by crystallization. X-ray diffraction usually does not reveal protons, which makes it difficult to experimentally measure pKa shifts in crystals. Here, we investigate whether this challenge can be addressed by performing in silico titration with constant pH molecular dynamics (MD) simulations. We compare the computed pKa values of proteins between solution and crystal environment and analyze these differences in the context of molecular interactions. For the proteins considered in this work, pKa shifts were mostly found for residues at the crystal interfaces, where the environment is more apolar in the crystal than in water. Although convergence was an obstacle, our simulations suggest that in principle it is possible to apply constant pH MD to protein crystals routinely and assess the effect of crystallization on protein function more systematically than with standard MD simulations. We also highlight technical challenges that need to be addressed to make MD simulations of crystals more reliable.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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