Kasahara Kota, Terazawa Hiroki, Itaya Hayato, Goto Satoshi, Nakamura Haruki, Takahashi Takuya, Higo Junichi
College of Life Sciences, Ritsumeikan University, Kusatsu, Shiga 525-8577, Japan.
Graduate School of Life Sciences, Ritsumeikan University, Kusatsu, Shiga 525-8577, Japan.
Biophys Physicobiol. 2020 Oct 15;17:140-146. doi: 10.2142/biophysico.BSJ-2020013. eCollection 2020.
The molecular dynamics (MD) method is a promising approach for investigating the molecular mechanisms of microscopic phenomena. In particular, generalized ensemble MD methods can efficiently explore the conformational space with a rugged free-energy surface. However, the implementation and acquisition of technical knowledge for each generalized ensemble MD method are not straightforward for end-users. Here, we present a new version of the myPresto/omegagene software, which is an MD simulation engine tailored for a series of generalized ensemble methods, which are virtual-system coupled multicanonical MD (V-McMD), virtual-system coupled adaptive umbrella sampling (V-AUS), and virtual-system coupled canonical MD (VcMD). This program has been applied in several studies analyzing free-energy landscapes of a variety of molecular systems with all-atom simulations. The updated version provides new functionality for coarse-grained simulations powered by the hydrophobicity scale method. The software package includes a step-by-step tutorial document for enhanced conformational sampling of the poly-glutamine (poly-Q) oligomer expressed as a one-bead per residue model. The myPresto/omegagene software is freely available at the following URL: https://github.com/kotakasahara/omegagene under the Apache2 license.
分子动力学(MD)方法是研究微观现象分子机制的一种很有前景的方法。特别是,广义系综MD方法能够有效地探索具有崎岖自由能表面的构象空间。然而,对于终端用户来说,每种广义系综MD方法的技术知识的实现和获取并非易事。在此,我们展示了myPresto/omegagene软件的新版本,它是一个为一系列广义系综方法量身定制的MD模拟引擎,这些方法包括虚拟系统耦合多正则MD(V-McMD)、虚拟系统耦合自适应伞形采样(V-AUS)和虚拟系统耦合正则MD(VcMD)。该程序已应用于多项研究,通过全原子模拟分析各种分子系统的自由能景观。更新版本为基于疏水性标度方法的粗粒度模拟提供了新功能。软件包包括一份逐步教程文档,用于增强以每个残基一个珠子模型表示的聚谷氨酰胺(poly-Q)寡聚物的构象采样。myPresto/omegagene软件可在以下网址免费获取:https://github.com/kotakasahara/omegagene ,遵循Apache2许可协议。