ReviewNature methods2010
Visualization of macromolecular structures.
Review in Nature methods, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 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
51 citing papers in PubMed.
- The evolving landscape of molecular visualization.Protein science : a publication of the Protein Society · 2026Review
- Elements and roadmap for interactive molecular graphics and modeling "in the Holodeck".Protein science : a publication of the Protein Society · 2026Article
- The MolecularWeb Universe: Web-Based, Immersive, Multiuser Molecular Graphics and Modeling.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Molecular biology and design research : A new paradigm and transdisciplinary approach to communicating science.EMBO reports · 2025Article
- 3D-Printed Self-Assembling Helical Models for Exploring Viral Capsid Structures.Biomimetics (Basel, Switzerland) · 2024Article
- PDBImages: a command-line tool for automated macromolecular structure visualization.Bioinformatics (Oxford, England) · 2023Article
- A brief history of visualizing membrane systems in molecular dynamics simulations.Frontiers in bioinformatics · 2023Article
- Network pharmacology of iridoid glycosides from Eucommia ulmoides Oliver against osteoporosis.Scientific reports · 2022Article
- Strategies for the Production of Molecular Animations.Frontiers in bioinformatics · 2022Review
- Vectorial channeling as a mechanism for translational control by functional prions and condensates.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- UCSF ChimeraX: Structure visualization for researchers, educators, and developers.Protein science : a publication of the Protein Society · 2021Article
- Grand Challenges in Bioinformatics Data Visualization.Frontiers in bioinformatics · 2021Article
- Art and Science of the Cellular Mesoscale.Trends in biochemical sciences · 2020Review
- Illustrate: Software for Biomolecular Illustration.Structure (London, England : 1993) · 2019Article
- Article
- Molecular Illustration in Research and Education: Past, Present, and Future.Journal of molecular biology · 2018Review
- Perspectives on Structural Molecular Biology Visualization: From Past to Present.Journal of molecular biology · 2018Review
- Developing novel methods to image and visualize 3D genomes.Cell biology and toxicology · 2018Review
- Semantics for an Integrative and Immersive Pipeline Combining Visualization and Analysis of Molecular Data.Journal of integrative bioinformatics · 2018Article
- Making data matter: Voxel printing for the digital fabrication of data across scales and domains.Science advances · 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
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Structural biology is rapidly accumulating a wealth of detailed information about protein function, binding sites, RNA, large assemblies and molecular motions. These data are increasingly of interest to a broader community of life scientists, not just structural experts. Visualization is a primary means for accessing and using these data, yet visualization is also a stumbling block that prevents many life scientists from benefiting from three-dimensional structural data. In this review, we focus on key biological questions where visualizing three-dimensional structures can provide insight and describe available methods and tools.
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What OpenQuestion 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 OpenQuestion graph.