Heath Allison P, Kavraki Lydia E, Clementi Cecilia
Department of Computer Science, Rice University, Houston, Texas 77005, USA.
Proteins. 2007 Aug 15;68(3):646-61. doi: 10.1002/prot.21371.
Multiscale methods are becoming increasingly promising as a way to characterize the dynamics of large protein systems on biologically relevant time-scales. The underlying assumption in multiscale simulations is that it is possible to move reliably between different resolutions. We present a method that efficiently generates realistic all-atom protein structures starting from the C(alpha) atom positions, as obtained for instance from extensive coarse-grain simulations. The method, a reconstruction algorithm for coarse-grain structures (RACOGS), is validated by reconstructing ensembles of coarse-grain structures obtained during folding simulations of the proteins src-SH3 and S6. The results show that RACOGS consistently produces low energy, all-atom structures. A comparison of the free energy landscapes calculated using the coarse-grain structures versus the all-atom structures shows good correspondence and little distortion in the protein folding landscape.
作为一种在生物学相关时间尺度上表征大型蛋白质系统动力学的方法,多尺度方法正变得越来越有前景。多尺度模拟的基本假设是可以在不同分辨率之间可靠地转换。我们提出了一种方法,该方法能从例如通过广泛的粗粒度模拟获得的Cα原子位置开始,高效地生成逼真的全原子蛋白质结构。该方法即粗粒度结构重建算法(RACOGS),通过重建在蛋白质src-SH3和S6折叠模拟过程中获得的粗粒度结构集合进行了验证。结果表明,RACOGS始终能产生低能量的全原子结构。使用粗粒度结构与全原子结构计算的自由能景观的比较表明,在蛋白质折叠景观中两者具有良好的对应性且几乎没有失真。