How cryo-EM is revolutionizing structural biology.

By X. Bai, G. McMullan, Sjors H. W. Scheres. 2015

902 citations recorded by the source corpus.

Subfields: Materials Chemistry, Molecular Biology, Structural Biology

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Citations in the corpus

Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix (2019, methodology): “Technological advances, such as the development of direct electron detectors (Li et al., 2013) and improvements in image processing (Bai et al., 2015), have transformed the method, leading to cryo-EM maps with greatly improved resolution.”
Gctf: Real-time CTF determination and correction (2015, background): “The significantly improved detective quantum efficiency (DQE) of direct detectors, such as Falcon II and K2 summit, makes the quality of the cryoEM reconstructions much better than when using traditional CCD or film(Bai et al., 2015).”
Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment (2019, neutral): “techniques, specifically geared at determining the structure of large macromolecular assemblies at atomic resolution.(8,9) In the meantime, structural biology is continuing to successfully char-”
BioEM: GPU-accelerated computing of Bayesian inference of electron microscopy images (2016, background): “Cryo-electron microscopy has revolutionized structural biology [2, 3] providing structures of chemical-motors, such as ATP synthase, ion-channels, and transporters, at atomic-level resolution [4–10].”
Searching ECOD for homologous domains by sequence and structure (2018, methodology): “Advances in genome sequencing, along with techniques such as cryo-electron microscopy, have dramatically increased the amount of available protein sequence and structure data (Bai, McMullan, & Scheres, 2015; Stephens et al. 2015).”
DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM (2016, background): “Recent advance of the single-particle electron cryo-microscopy (cryo-EM) technique has been revolutionizing the structural biology ﬁeld [1, 2, 3], and enabled protein complex structure determination at near-atomic resolution [4, 5, 6, 7].”
Q|R: quantum-based refinement. (2017, background): “Cryo-electron microscopy (cryo-EM) is rapidly becoming its major competitor (Bai et al., 2015; Cheng, 2015).”
Scalable emulation of protein equilibrium ensembles with generative deep learning (2025, positive): “Cryo-electron microscopy can resolve multiple conformational states of biomolecular complexes along with their probabilities [7], but running these experiments is costly both from a monetary and time perspective.”