论文标题
使用GAFF拓扑结构的重新编辑:用于大量分子的相对水合自由能计算
RE-EDS Using GAFF Topologies: Application to Relative Hydration Free-Energy Calculations for Large Sets of Molecules
论文作者
论文摘要
可以根据分子动力学(MD)模拟使用标准途径依赖性方法,例如热力学整合(TI),自由能扰动或Bennett的接受率来估算终端对之间的自由能差异。另一方面,复制 - 交换包络分布采样(重新编辑)允许在单个模拟中对多个终端进行采样,而无需任何途径规格。在这项工作中,我们使用gromos中实现的重编方法以及通用的琥珀色力场(GAFF)拓扑结构,并使用新开发的GROMOS ++程序Amber2Gromos转换为Gromos兼容格式,以计算一系列苯衍生物的相对水合能量。将用重新编辑获得的结果与实验数据以及文献中的计算值进行了比较。此外,将水和真空中的估计的自由化差异与用gromac进行的TI计算值进行了比较。发现使用用于多个分子的reeds获得的水合自由能与实验数据和使用其他自由化方法计算的结果既吻合均吻合。尽管所有考虑的自由能方法都取得了准确的结果,但重新编辑的计算要求总仿真时间最少。这项工作是使用Gromos模拟软件包和重新编辑方法使用GAFF拓扑的验证。此外,评估了一组28个最终国家的重编的性能,并以有希望的结果进行评估。
Free-energy differences between pairs of end-states can be estimated based on molecular dynamics (MD) simulations using standard pathway-dependent methods such as thermodynamic integration (TI), free-energy perturbation, or Bennett's acceptance ratio. Replica-exchange enveloping distribution sampling (RE-EDS), on the other hand, allows for the sampling of multiple end-states in a single simulation without the specification of any pathways. In this work, we use the RE-EDS method as implemented in GROMOS together with generalized AMBER force field (GAFF) topologies, converted to a GROMOS-compatible format with a newly developed GROMOS++ program amber2gromos, to compute relative hydration free energies for a series of benzene derivatives. The results obtained with RE-EDS are compared to the experimental data as well as calculated values from the literature. In addition, the estimated free-energy differences in water and in vacuum are compared to values from TI calculations carried out with GROMACS. The hydration free energies obtained using RE-EDS for multiple molecules are found to be in good agreement with both the experimental data and the results calculated using other free-energy methods. While all considered free-energy methods delivered accurate results, the RE-EDS calculations required the least amount of total simulation time. This work serves as a validation for the use of GAFF topologies with the GROMOS simulation package and the RE-EDS approach. Furthermore, the performance of RE-EDS for a large set of 28 end-states is assessed with promising results.