ArticleJournal of structural biology2012
Detection of secondary and supersecondary structures of proteins from cryo-electron microscopy.
Article in Journal of structural biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- EvoSeg: Automated Electron Microscopy Segmentation through Random Forests and Evolutionary Optimization.Biomimetics (Basel, Switzerland) · 2021Article
- [Progress in filters for denoising cryo-electron microscopy images].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2021Article
- PF2fit: Polar Fast Fourier Matched Alignment of Atomistic Structures with 3D Electron Microscopy Maps.PLoS computational biology · 2015Article
- Macromolecular structure modeling from 3D EM using VolRover 2.0.Biopolymers · 2012Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Recent advances in three-dimensional electron microscopy (3D EM) have enabled the quantitative visualization of the structural building blocks of proteins at improved resolutions. We provide algorithms to detect the secondary structures (α-helices and β-sheets) from proteins for which the volumetric maps are reconstructed at 6-10Å resolution. Additionally, we show that when the resolution is coarser than 10Å, some of the supersecondary structures can be detected from 3D EM maps. For both these algorithms, we employ tools from computational geometry and differential topology, specifically the computation of stable/unstable manifolds of certain critical points of the distance function induced by the molecular surface. Our results connect mathematically well-defined constructions with bio-chemically induced structures observed in proteins.
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Registered trials
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