Institute of Transformative Bio-Molecules, Nagoya University, Nagoya, 464-8601, Japan.
RIKEN-Center for Computational Science, Kobe, Hyogo, 650-0047, Japan.
J Mol Biol. 2020 Apr 17;432(9):2846-2860. doi: 10.1016/j.jmb.2020.01.039. Epub 2020 Feb 13.
The structural and dynamical characterization of biomolecules holds central importance in the endeavor to understand the molecular mechanisms regulating living systems. However, owing to the inherent heterogeneity of biomolecular interactions within cells, it is often difficult to understand the overall structure and dynamics of biomolecules using any experimental method in isolation. In this regard, hybrid methods that combine data from multiple experiments to generate a comprehensive model of biomolecular complexes have gained prominence in the last few years. In this article, we discuss the advancements in hybrid methods, with a particular focus on the role of computation in their development and application. We further outline the future directions that hybrid methods are likely to take, regarding the advancements in techniques such as X-ray free-electron laser single- particle imaging, and electron cryo-tomography. Finally, we conclude the review by highlighting the future goals of broader consensus and collaboration within the integrative/hybrid structural biology community and for disseminating the data generated by hybrid modeling efforts.
生物分子的结构和动力学特征在理解调节生命系统的分子机制的努力中具有核心重要性。然而,由于细胞内生物分子相互作用的固有异质性,单独使用任何实验方法通常很难理解生物分子的整体结构和动力学。在这方面,近年来,将来自多个实验的数据结合起来生成生物分子复合物综合模型的混合方法已经引起了人们的关注。在本文中,我们讨论了混合方法的进展,特别关注计算在其发展和应用中的作用。我们进一步概述了混合方法可能会朝着哪些方向发展,例如 X 射线自由电子激光单颗粒成像和电子低温断层扫描等技术的进步。最后,我们通过强调整合/混合结构生物学界内更广泛共识和合作的未来目标以及传播混合建模工作产生的数据,总结了这篇综述。