ArticleScientific reports2015
Cryo-EM and the elucidation of new macromolecular structures: Random Conical Tilt revisited.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Cryo-EM elucidates the uroplakin complex structure within liquid-crystalline lipids in the porcine urothelial membrane.Communications biology · 2023Article
- Novel Artificial Intelligence-Based Approaches for Ab Initio Structure Determination and Atomic Model Building for Cryo-Electron Microscopy.Micromachines · 2023Review
- Unveiling Liquid-Crystalline Lipids in the Urothelial Membrane through Cryo-EM.bioRxiv : the preprint server for biology · 2023Article
- Unveiling Liquid-Crystalline Lipids in the Urothelial Membrane through Cryo-EM.Research square · 2023Article
- Emerging Themes in CryoEM─Single Particle Analysis Image Processing.Chemical reviews · 2022Review
- Random conical tilt reconstruction without particle picking in cryo-electron microscopy.Acta crystallographica. Section A, Foundations and advances · 2022Article
- On bias, variance, overfitting, gold standard and consensus in single-particle analysis by cryo-electron microscopy.Acta crystallographica. Section D, Structural biology · 2022Article
- Advances in Xmipp for Cryo-Electron Microscopy: From Xmipp to Scipion.Molecules (Basel, Switzerland) · 2021Article
- Improvements on marker-free images alignment for electron tomography.Journal of structural biology: X · 2020Article
- Structural basis for cooperativity of human monoclonal antibodies to meningococcal factor H-binding protein.Communications biology · 2019Article
- Electron Microscopy Structural Insights into CPAP Oligomeric Behavior: A Plausible Assembly Process of a Supramolecular Scaffold of the Centrosome.Frontiers in molecular biosciences · 2017Article
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12 authors.
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Abstract
Cryo-Electron Microscopy (cryo-EM) of macromolecular complexes is a fundamental structural biology technique which is expanding at a very fast pace. Key to its success in elucidating the three-dimensional structure of a macromolecular complex, especially of small and non-symmetric ones, is the ability to start from a low resolution map, which is subsequently refined with the actual images collected at the microscope. There are several methods to produce this first structure. Among them, Random Conical Tilt (RCT) plays a prominent role due to its unbiased nature (it can create an initial model based on experimental measurements). In this article, we revise the fundamental mathematical expressions supporting RCT, providing new expressions handling all key geometrical parameters without the need of intermediate operations, leading to improved automation and overall reliability, essential for the success of cryo-EM when analyzing new complexes. We show that the here proposed RCT workflow based on the new formulation performs very well in practical cases, requiring very few image pairs (as low as 13 image pairs in one of our examples) to obtain relevant 3D maps.
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