2018
DOI: 10.1002/anie.201802770
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Single‐Particle Reconstruction of Biological Molecules—Story in a Sample (Nobel Lecture)

Abstract: Pictures tell a thousand words: The development of single‐particle cryo‐electron microscopy set the stage for high‐resolution structure determination of biological molecules. In his Nobel lecture, J. Frank describes the ground‐breaking discoveries that have enabled the development of cryo‐EM. The method has taken biochemistry into a new era.

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Cited by 39 publications
(25 citation statements)
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“…While developments in cryogenic electron microscopy [60][61][62][63] have revolutionized structural biology [64], NMR spectroscopy remains the most powerful tools to study protein dynamics, especially IDRs and IDPs, with residue-specific resolution [65]. RNA-binding proteins are a large family of proteins with high sequence variability in their IDRs.…”
Section: Discussionmentioning
confidence: 99%
“…While developments in cryogenic electron microscopy [60][61][62][63] have revolutionized structural biology [64], NMR spectroscopy remains the most powerful tools to study protein dynamics, especially IDRs and IDPs, with residue-specific resolution [65]. RNA-binding proteins are a large family of proteins with high sequence variability in their IDRs.…”
Section: Discussionmentioning
confidence: 99%
“…Through application of advanced imaging techniques, single-particle cryogenic electron microscopy (cryo-EM) [2][3][4] allows macromolecules in an in vitro suspension to be experimentally visualized en masse after rapid freezing in vitreous ice at a rate that is assumed to be faster than the overall reconfiguration time of the system. 5 As a result, the ensemble of frozen molecules closely approximates the equilibrium distribution of states immediately prior to being frozen.…”
Section: Introductionmentioning
confidence: 99%
“…This article highlights only Joachim Frank's main contributions to the ribosome field, and is not a comprehensive review of the literature. His work on the theoretical aspects of the single-particle 3D-EM methods, which started in the late 1960s with his PhD work, is best summarized in his Nobel lecture (Frank, 2018).…”
Section: Introductionmentioning
confidence: 99%