ArticleProtein science : a publication of the Protein Society2020
Molstack: A platform for interactive presentations of electron density and cryo-EM maps and their interpretations.
Article in Protein science : a publication of the Protein Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
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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
10 citing papers in PubMed.
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- Structural and biochemical characterisation of CoChemical science · 2023Article
- Recognizing and validating ligands with CheckMyBlob.Nucleic acids research · 2021Article
- Covid-19.bioreproducibility.org: A web resource for SARS-CoV-2-related structural models.Protein science : a publication of the Protein Society · 2021Article
- Article
- Ligand-centered assessment of SARS-CoV-2 drug target models in the Protein Data Bank.The FEBS journal · 2020Article
- Molecular determinants of vascular transport of dexamethasone in COVID-19 therapy.bioRxiv : the preprint server for biology · 2020Article
- Albumin-Based Transport of Nonsteroidal Anti-Inflammatory Drugs in Mammalian Blood Plasma.Journal of medicinal chemistry · 2020Article
- Molstack: A platform for interactive presentations of electron density and cryo-EM maps and their interpretations.Protein science : a publication of the Protein Society · 2020Article
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Authors and funding
4 authors.
Funding
Abstract
In the Special Issue on Tools for Protein Science in 2018, we presented Molstack: a concept of a cloud-based platform for sharing electron density maps and their interpretations. Molstack is a web platform that allows the interactive visualization of density maps through the simultaneous presentation of multiple datasets and models in a way that allows for easy pairwise comparison. We anticipated that the users of this conceptually simple platform would find many different uses for their projects, and we were not mistaken. We have observed researchers use Molstack to present experimental evidence for their models in the form of electron density maps, omit maps, and anomalous difference density maps. Users also employed Molstack to present alternative interpretations of densities, including rerefinements and speculative interpretations. While we anticipated these types of projects to be the main use cases, we were pleased to see Molstack used to display superpositions of different models, as a tool for story-driven presentations, and for collaboration as well. Here, we present developments in the platform that were driven by user feedback, highlight several cases that used Molstack to enhance the publication, and discuss possible directions for the platform.
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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.