Sompornpisut Pornthep, Roux Benoît, Perozo Eduardo
Department of Biochemistry and Molecular Biology and Institute for Biophysical Dynamics, University of Chicago, Chicago, Illinois, USA.
Biophys J. 2008 Dec;95(11):5349-61. doi: 10.1529/biophysj.108.142984. Epub 2008 Aug 1.
We present an approach for incorporating solvent accessibility data from electron paramagnetic resonance experiments in the structural refinement of membrane proteins through restrained molecular dynamics simulations. The restraints have been parameterized from oxygen (PiO(2)) and nickel-ethylenediaminediacetic acid (PiNiEdda) collision frequencies, as indicators of lipid or aqueous exposed spin-label sites. These are enforced through interactions between a pseudoatom representation of the covalently attached Nitroxide spin-label and virtual "solvent" particles corresponding to O(2) and NiEdda in the surrounding environment. Interactions were computed using an empirical potential function, where the parameters have been optimized to account for the different accessibilities of the spin-label pseudoatoms to the surrounding environment. This approach, "pseudoatom-driven solvent accessibility refinement", was validated by refolding distorted conformations of the Streptomyces lividans potassium channel (KcsA), corresponding to a range of 2-30 A root mean-square deviations away from the native structure. Molecular dynamics simulations based on up to 58 electron paramagnetic resonance restraints derived from spin-label mutants were able to converge toward the native structure within 1-3 A root mean-square deviations with minimal computational cost. The use of energy-based ranking and structure similarity clustering as selection criteria helped in the convergence and identification of correctly folded structures from a large number of simulations. This approach can be applied to a variety of integral membrane protein systems, regardless of oligomeric state, and should be particularly useful in calculating conformational changes from a known reference crystal structure.
我们提出了一种方法,通过受限分子动力学模拟,将电子顺磁共振实验得到的溶剂可及性数据纳入膜蛋白的结构优化中。这些限制条件已根据氧(PiO(2))和镍-乙二胺二乙酸(PiNiEdda)的碰撞频率进行参数化,作为脂质或水相暴露的自旋标记位点的指标。这些限制通过共价连接的氮氧自由基自旋标记的伪原子表示与周围环境中对应于O(2)和NiEdda的虚拟“溶剂”粒子之间的相互作用来实现。相互作用使用经验势函数计算,其中参数已进行优化,以考虑自旋标记伪原子对周围环境的不同可及性。这种方法,即“伪原子驱动的溶剂可及性优化”,通过对淡青链霉菌钾通道(KcsA)的扭曲构象进行重折叠得到验证,这些构象与天然结构的均方根偏差范围为2 - 30 Å。基于多达58个来自自旋标记突变体的电子顺磁共振限制条件进行的分子动力学模拟,能够以最小的计算成本在1 - 3 Å的均方根偏差内收敛到天然结构。使用基于能量的排序和结构相似性聚类作为选择标准,有助于从大量模拟中收敛并识别正确折叠的结构。这种方法可应用于各种整合膜蛋白系统,无论其寡聚状态如何,并且在从已知参考晶体结构计算构象变化方面应该特别有用。