Moritsugu Kei, Smith Jeremy C
Center for Molecular Biophysics, University of Tennessee/Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA.
Biophys J. 2008 Aug;95(4):1639-48. doi: 10.1529/biophysj.108.131714. Epub 2008 May 9.
Coarse graining of protein interactions provides a means of simulating large biological systems. The REACH (Realistic Extension Algorithm via Covariance Hessian) coarse-graining method, in which the force constants of a residue-scale elastic network model are calculated from the variance-covariance matrix obtained from atomistic molecular dynamics (MD) simulation, involves direct mapping between scales without the need for iterative optimization. Here, the transferability of the REACH force field is examined between protein molecules of different structural classes. As test cases, myoglobin (all alpha), plastocyanin (all beta), and dihydrofolate reductase (alpha/beta) are taken. The force constants derived are found to be closely similar in all three proteins. An MD version of REACH is presented, and low-temperature coarse-grained (CG) REACH MD simulations of the three proteins are compared with atomistic MD results. The mean-square fluctuations of the atomistic MD are well reproduced by the CGMD. Model functions for the CG interactions, derived by averaging over the three proteins, are also shown to produce fluctuations in good agreement with the atomistic MD. The results indicate that, similarly to the use of atomistic force fields, it is now possible to use a single, generic REACH force field for all protein studies, without having first to derive parameters from atomistic MD simulation for each individual system studied. The REACH method is thus likely to be a reliable way of determining spatiotemporal motion of a variety of proteins without the need for expensive computation of long atomistic MD simulations.
蛋白质相互作用的粗粒化提供了一种模拟大型生物系统的方法。REACH(通过协方差海森矩阵的现实扩展算法)粗粒化方法,其中残基尺度弹性网络模型的力常数是根据从原子分子动力学(MD)模拟获得的方差协方差矩阵计算得出的,该方法涉及不同尺度之间的直接映射,无需迭代优化。在此,研究了REACH力场在不同结构类别的蛋白质分子之间的可转移性。作为测试案例,选取了肌红蛋白(全α结构)、质体蓝素(全β结构)和二氢叶酸还原酶(α/β结构)。发现这三种蛋白质中导出的力常数非常相似。提出了REACH的MD版本,并将这三种蛋白质的低温粗粒化(CG)REACH MD模拟结果与原子分子动力学模拟结果进行了比较。CGMD很好地再现了原子分子动力学模拟的均方涨落。通过对这三种蛋白质进行平均得到的CG相互作用的模型函数,其产生的涨落也与原子分子动力学模拟结果高度吻合。结果表明,与使用原子力场类似,现在有可能对所有蛋白质研究使用单一的通用REACH力场,而无需先为每个研究的单个系统从原子分子动力学模拟中推导参数。因此,REACH方法可能是一种可靠的方式,无需进行昂贵的长时间原子分子动力学模拟计算,就能确定各种蛋白质的时空运动。