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Energy landscape and multiroute folding of topologically complex proteins adenylate kinase and 2ouf-knot

机译:拓扑复杂蛋白腺苷酸激酶和2ouf结的能量分布和多途径折叠

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摘要

While fast folding of small proteins has been relatively well characterized by experiments and theories, much less is known for slow folding of larger proteins, for which recent experiments suggested quite complex and rich folding behaviors. Here, we address how the energy landscape theory can be applied to these slow folding reactions/Combining the perfect-funnel approximation with a multiscale method, we first extended our previous atomic-interaction based coarse grained (AICG) model to take into account local flexibility of protein molecules. Using this model, we then investigated the energy landscapes and folding routes of two proteins with complex topologies: a multidomain protein adenylate kinase (AKE) and a knotted protein 2ouf-knot. In the AKE folding, consistent with experimental results, the kinetic free energy surface showed several substates between the fully unfolded and native states. We characterized the structural features of these substates and transitions among them, finding temperature-dependent multiroute folding. For protein 2ouf-knot, we found that the improved atomic-interaction based coarse-grained model can spontaneously tie a knot and fold the protein with a probability up to 96%. The computed folding rate of the knotted protein was much slower than that of its unknotted counterpart, in agreement with experimental findings. Similar to the AKE case, the 2ouf-knot folding exhibited several substates and transitions among them. Interestingly, we found a dead-end substate that lacks the knot thus suggesting backtracking mechanisms.
机译:尽管小蛋白的快速折叠已通过实验和理论得到了较好的表征,但对于大蛋白的缓慢折叠却知之甚少,近来的实验表明,这种折叠非常复杂且富有折叠性。在这里,我们讨论了如何将能量景观理论应用于这些缓慢的折叠反应/将完美漏斗近似与多尺度方法相结合,我们首先扩展了先前的基于原子相互作用的粗粒度(AICG)模型,以考虑到局部灵活性蛋白质分子。然后,使用此模型,我们研究了具有复杂拓扑结构的两种蛋白质的能量分布和折叠途径:多域蛋白质腺苷酸激酶(AKE)和打结的蛋白质2ouf-knot。在AKE折叠中,与实验结果一致,动自由能表面显示了在完全展开和原始状态之间的几个子状态。我们表征了这些亚状态和它们之间的过渡的结构特征,发现了温度依赖性的多路径折叠。对于蛋白质2uf-knot,我们发现基于改进的基于原子相互作用的粗粒度模型可以自发打结并折叠蛋白质,概率高达96%。与实验结果一致,打结蛋白的折叠率比未打结蛋白的折叠率慢得多。与AKE情况类似,2ouf结折叠表现出几个亚状态和它们之间的过渡。有趣的是,我们发现了一个没有结的死角子状态,因此暗示了回溯机制。

著录项

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  • 作者单位

    National Laboratory of Solid State Microstructure and Department of Physics, Nanjing University, Nanjing 210093, China,Department of Biophysics, Graduate School of Science, Kyoto University, Kyoto 606-8502, Japan,Core Research for Evolutional Science and Technology, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan;

    Department of Biophysics, Graduate School of Science, Kyoto University, Kyoto 606-8502, Japan;

    National Laboratory of Solid State Microstructure and Department of Physics, Nanjing University, Nanjing 210093, China;

    Department of Biophysics, Graduate School of Science, Kyoto University, Kyoto 606-8502, Japan,Core Research for Evolutional Science and Technology, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    protein folding; molecular dynamics simulations; multiscale simulations; flexible local potential; topological frustrations;

    机译:蛋白质折叠分子动力学模拟;多尺度模拟;灵活的当地潜力;拓扑挫折;
  • 入库时间 2022-08-18 00:40:32

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