ArticleNature methods2015
De novo protein structure determination from near-atomic-resolution cryo-EM maps.
Article in Nature methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
118 citing papers in PubMed.
- Bridging structure and function: artificial intelligence-based modelling of kidney proteins.Nature reviews. Nephrology · 2026Review
- Using experimental results of protein design to guide biomolecular energy-function development.PLoS computational biology · 2026Article
- Cytochrome nanowires under electron microscopy.Emerging topics in life sciences · 2026Review
- CryoAtom improves model building for cryo-EM.Nature structural & molecular biology · 2026Article
- An Empirical Biasing Force Constant to Minimize Overfitting in Cryo-EM Flexible Fitting Refinement.Journal of chemical information and modeling · 2025Article
- Octahedral small virus-like particles of dengue virus type 2.Journal of virology · 2025Article
- All-atom RNA structure determination from cryo-EM maps.Nature biotechnology · 2025Article
- Automated detection and de novo structure modeling of nucleic acids from cryo-EM maps.Nature communications · 2024Article
- Fast In Vitro Synthesis and Direct Labeling of Nanobodies for Prototyping in Microscopy Applications.ACS omega · 2024Article
- Cryo-EM unveils kinesin KIF1A's processivity mechanism and the impact of its pathogenic variant P305L.Nature communications · 2024Article
- De novo design of pH-responsive self-assembling helical protein filaments.Nature nanotechnology · 2024Article
- The big chill: Growth ofQRB discovery · 2024Review
- Article
- Novel Artificial Intelligence-Based Approaches for Ab Initio Structure Determination and Atomic Model Building for Cryo-Electron Microscopy.Micromachines · 2023Review
- Enhancing cryo-EM maps with 3D deep generative networks for assisting protein structure modeling.Bioinformatics (Oxford, England) · 2023Article
- Recent Advances in NMR Protein Structure Prediction with ROSETTA.International journal of molecular sciences · 2023Review
- Recent structural advances in bacterial chemotaxis signalling.Current opinion in structural biology · 2023Review
- Automatic and accurate ligand structure determination guided by cryo-electron microscopy maps.Nature communications · 2023Article
- Building Protein Atomic Models from Cryo-EM Density Maps and Residue Co-Evolution.Biomolecules · 2022Article
- Structure ofeLife · 2022Article
58 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
We present a de novo model-building approach that combines predicted backbone conformations with side-chain fit to density to accurately assign sequence into density maps. This method yielded accurate models for six of nine experimental maps at 3.3- to 4.8-Å resolution and produced a nearly complete model for an unsolved map containing a 660-residue heterodimeric protein. This method should enable rapid and reliable protein structure determination from near-atomic-resolution cryo-electron microscopy (cryo-EM) maps.
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Registered trials
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