Shinobu Ai, Kobayashi Chigusa, Matsunaga Yasuhiro, Sugita Yuji
Laboratory for Biomolecular Function Simulation, RIKEN Center for Biosystems Dynamics Research, Kobe, Hyogo 650-0047, Japan.
Computational Biophysics Research Team, RIKEN Center for Computational Science, Kobe, Hyogo 650-0047, Japan.
J Chem Inf Model. 2021 May 24;61(5):2427-2443. doi: 10.1021/acs.jcim.1c00286. Epub 2021 May 6.
Large-scale conformational transitions in multi-domain proteins are often essential for their functions. To investigate the transitions, it is necessary to explore multiple potential pathways, which involve different intermediate structures. Here, we present a multi-basin (MB) coarse-grained (CG) structure-based Go̅ model for describing transitions in proteins with more than two moving domains. This model is an extension of our dual-basin Go̅ model in which system-dependent parameters are determined systematically using the multistate Bennett acceptance ratio method. In the MB Go̅ model for multi-domain proteins, we assume that intermediate structures may have partial inter-domain native contacts. This approach allows us to search multiple transition pathways that involve distinct intermediate structures using the CG molecular dynamics (MD) simulations. We apply this scheme to an enzyme, adenylate kinase (AdK), which has three major domains and can move along two different pathways. Using the optimized mixing parameters for each pathway, AdK shows frequent transitions between the Open, Closed, and the intermediate basins and samples a wide variety of conformations within each basin. The explored multiple transition pathways could be compared with experimental data and examined in more detail by atomistic MD simulations.
多结构域蛋白质中的大规模构象转变通常对其功能至关重要。为了研究这些转变,有必要探索多种潜在途径,这些途径涉及不同的中间结构。在此,我们提出一种基于多盆地(MB)粗粒度(CG)结构的Go̅模型,用于描述具有两个以上移动结构域的蛋白质中的转变。该模型是我们双盆地Go̅模型的扩展,在双盆地Go̅模型中,使用多状态贝内特接受率方法系统地确定与系统相关的参数。在用于多结构域蛋白质的MB Go̅模型中,我们假设中间结构可能具有部分结构域间的天然接触。这种方法使我们能够使用CG分子动力学(MD)模拟搜索涉及不同中间结构的多种转变途径。我们将此方案应用于一种酶,腺苷酸激酶(AdK),它有三个主要结构域,并且可以沿着两条不同的途径移动。使用针对每条途径优化的混合参数,AdK在开放、关闭和中间盆地之间频繁转变,并在每个盆地内采样多种构象。所探索的多种转变途径可以与实验数据进行比较,并通过原子MD模拟进行更详细地研究。