Department of Chemical and Biomolecular Engineering, Lehigh University , Bethlehem, Pennsylvania 18015, United States.
Institute of Computational and Molecular Science, Department of Chemistry, Temple University , Philadelphia, Pennsylvania 19122, United States.
J Chem Theory Comput. 2015 Jun 9;11(6):2776-82. doi: 10.1021/acs.jctc.5b00047.
Intrinsically disordered proteins (IDPs), which are expected to be largely unstructured under physiological conditions, make up a large fraction of eukaryotic proteins. Molecular dynamics simulations have been utilized to probe structural characteristics of these proteins, which are not always easily accessible to experiments. However, exploration of the conformational space by brute force molecular dynamics simulations is often limited by short time scales. Present literature provides a number of enhanced sampling methods to explore protein conformational space in molecular simulations more efficiently. In this work, we present a comparison of two enhanced sampling methods: temperature replica exchange molecular dynamics and bias exchange metadynamics. By investigating both the free energy landscape as a function of pertinent order parameters and the per-residue secondary structures of an IDP, namely, human islet amyloid polypeptide, we found that the two methods yield similar results as expected. We also highlight the practical difference between the two methods by describing the path that we followed to obtain both sets of data.
天然无序蛋白质(IDPs)在生理条件下预计大部分没有结构,它们构成了真核蛋白质的很大一部分。分子动力学模拟已被用于探测这些蛋白质的结构特征,这些特征通常不容易通过实验获得。然而,通过蛮力分子动力学模拟探索构象空间往往受到短时间尺度的限制。目前的文献提供了许多增强采样方法,以更有效地在分子模拟中探索蛋白质构象空间。在这项工作中,我们比较了两种增强采样方法:温度复制交换分子动力学和偏置交换元动力学。通过研究自由能景观作为相关序参数的函数和 IDP 的每个残基的二级结构,即人胰岛淀粉样多肽,我们发现这两种方法如预期的那样产生相似的结果。我们还通过描述获得这两组数据所遵循的路径,突出了这两种方法之间的实际差异。