Bochicchio Davide, Panizon Emanuele, Ferrando Riccardo, Monticelli Luca, Rossi Giulia
Physics Department, University of Genoa and CNR-IMEM, Via Dodecaneso 33, 16146 Genoa, Italy.
Bases Moléculaires et Structurales des Systèmes Infectieux (BMSSI), CNRS UMR 5086, 7 Passage du Vercors, 69007 Lyon, France.
J Chem Phys. 2015 Oct 14;143(14):144108. doi: 10.1063/1.4932159.
We compare the performance of two well-established computational algorithms for the calculation of free-energy landscapes of biomolecular systems, umbrella sampling and metadynamics. We look at benchmark systems composed of polyethylene and polypropylene oligomers interacting with lipid (phosphatidylcholine) membranes, aiming at the calculation of the oligomer water-membrane free energy of transfer. We model our test systems at two different levels of description, united-atom and coarse-grained. We provide optimized parameters for the two methods at both resolutions. We devote special attention to the analysis of statistical errors in the two different methods and propose a general procedure for the error estimation in metadynamics simulations. Metadynamics and umbrella sampling yield the same estimates for the water-membrane free energy profile, but metadynamics can be more efficient, providing lower statistical uncertainties within the same simulation time.
我们比较了两种成熟的计算算法在生物分子系统自由能景观计算中的性能,即伞形采样和元动力学。我们研究了由聚乙烯和聚丙烯低聚物与脂质(磷脂酰胆碱)膜相互作用组成的基准系统,旨在计算低聚物水-膜转移自由能。我们在两种不同的描述水平上对测试系统进行建模,即联合原子和粗粒度。我们为两种方法在两种分辨率下都提供了优化参数。我们特别关注对两种不同方法中统计误差的分析,并提出了一种元动力学模拟中误差估计的通用程序。元动力学和伞形采样对水-膜自由能分布给出了相同的估计,但元动力学可能更有效,在相同模拟时间内提供更低的统计不确定性。