Integrative/Hybrid Modeling Approaches for Studying Biomolecules

J Mol Biol. 2020 Apr 17;432(9):2846-2860. doi: 10.1016/j.jmb.2020.01.039. Epub 2020 Feb 13.

Abstract

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.

Keywords: X-ray free-electron laser; cryo-electron microscopy; flexible fitting; molecular dynamics; normal mode analysis.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Computational Biology / methods*
  • Cryoelectron Microscopy
  • Crystallography, X-Ray
  • Humans
  • Macromolecular Substances / chemistry*
  • Models, Molecular
  • Molecular Dynamics Simulation
  • Single Molecule Imaging / methods*

Substances

  • Macromolecular Substances