4.7 Article

Advances in integrative structural biology: Towards understanding protein complexes in their cellular context

期刊

出版社

ELSEVIER
DOI: 10.1016/j.csbj.2020.11.052

关键词

Integrative structural biology; Quinary interactions; Protein structure prediction; Cryo-electron tomography; Cryo-electron microscopy; X-ray crystallography; Crosslinking mass spectrometry; Protein docking

资金

  1. U.S. Department of Energy (DOE) [DE-AC36-08GO28308]
  2. Center for Bioenergy Innovation (CBI) , a U.S. Department of Energy Bioenergy Research Center - Office of Biological and Environmental Research in the DOE Office of Science
  3. U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Bioenergy Technologies Office [DE-AC36-08GO28308]
  4. National Renewable Energy Laboratory

向作者/读者索取更多资源

Microorganisms rely on protein interactions for signaling, stimuli response, and growth. Recent developments in structural biology, particularly integrative structural biology, have provided insight into how large protein complexes interact in their native environment. This mini-review discusses the past, present, and potential future of integrative structural biology in characterizing protein interactions in their cellular context.
Microorganisms rely on protein interactions to transmit signals, react to stimuli, and grow. One of the best ways to understand these protein interactions is through structural characterization. However, in the past, structural knowledge was limited to stable, high-affinity complexes that could be crystallized. Recent developments in structural biology have revolutionized how protein interactions are characterized. The combination of multiple techniques, known as integrative structural biology, has provided insight into how large protein complexes interact in their native environment. In this mini-review, we describe the past, present, and potential future of integrative structural biology as a tool for characterizing protein interactions in their cellular context. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.

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