Department of Physics, Northeastern University, Boston, MA, United States; Crystallography, Max Delbrueck Center, Berlin, Germany.
Department of Physics, Northeastern University, Boston, MA, United States; Crystallography, Max Delbrueck Center, Berlin, Germany.
Methods. 2019 Jun 1;162-163:128-140. doi: 10.1016/j.ymeth.2019.03.023. Epub 2019 Mar 30.
With the broad accessibility of high-performance computing resources, the significance of a molecular dynamics simulation is now rarely limited by hardware and/or software availability. Rather, the scientific value of each calculation is determined by the principles that underlie the theoretical model. The current review addresses this topic in the context of simplified models applied to large-scale (∼20-100 Å) dynamics in the ribosome. Specifically, we focus on applications of the "SMOG" class of structure-based models, which can be used to simulate spontaneous (i.e. non-targeted) conformational rearrangements in complex molecular assemblies. Here, we aim to provide an entry-level assessment of the methods, which can help bridge conceptual and communication gaps between the experimental and computational communities. In addition, inspecting the strategies that have been deployed previously can provide guidelines for future computational investigations into the relationship between structure, energetics and dynamics in other assemblies.
随着高性能计算资源的广泛普及,分子动力学模拟的意义现在很少受到硬件和/或软件可用性的限制。相反,每次计算的科学价值取决于理论模型所依据的原理。当前的综述在核糖体中应用简化模型进行大规模(∼20-100 Å)动力学的背景下讨论了这个问题。具体来说,我们专注于“SMOG”类结构模型的应用,该模型可用于模拟复杂分子组装体中的自发(即非靶向)构象重排。在这里,我们旨在对这些方法进行入门级评估,以帮助在实验和计算两个社区之间架起概念和沟通的桥梁。此外,检查以前部署的策略可以为未来计算研究提供指导,以研究其他组装体中结构、能量和动力学之间的关系。