ArticleeLife2017
Building bridges between cellular and molecular structural biology.
Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Serendipity and the Slime Mold: A Visual Survey of High-Molecular-Weight Protein Assemblies Reveals the Structure of the Polyketide Synthase Pks16.Molecular & cellular proteomics : MCP · 2026Article
- Chart builder: an interactive tool for user driven data visualization in the electron microscopy data bank.Frontiers in bioinformatics · 2026Article
- Visualizing Volumetric and Segmentation Data using Mol* Volumes & Segmentations 2.0.Current protocols · 2024Article
- EMDB-the Electron Microscopy Data Bank.Nucleic acids research · 2024Review
- Mol* Volumes and Segmentations: visualization and interpretation of cell imaging data alongside macromolecular structure data and biological annotations.Nucleic acids research · 2023Article
- EMPIAR: the Electron Microscopy Public Image Archive.Nucleic acids research · 2023Article
- EvoSeg: Automated Electron Microscopy Segmentation through Random Forests and Evolutionary Optimization.Biomimetics (Basel, Switzerland) · 2021Article
- Evolving data standards for cryo-EM structures.Structural dynamics (Melville, N.Y.) · 2020Article
- Automated Segmentation of Fluorescence Microscopy Images for 3D Cell Detection in human-derived Cardiospheres.Scientific reports · 2019Article
- Structural biology data archiving - where we are and what lies ahead.FEBS letters · 2018Review
- Multiscale Methods in Drug Design Bridge Chemical and Biological Complexity in the Search for Cures.Nature reviews. Chemistry · 2018Article
- The European Bioinformatics Institute in 2017: data coordination and integration.Nucleic acids research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
27 authors.
Funding
Abstract
The integration of cellular and molecular structural data is key to understanding the function of macromolecular assemblies and complexes in their in vivo context. Here we report on the outcomes of a workshop that discussed how to integrate structural data from a range of public archives. The workshop identified two main priorities: the development of tools and file formats to support segmentation (that is, the decomposition of a three-dimensional volume into regions that can be associated with defined objects), and the development of tools to support the annotation of biological structures.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.