Evidence map›Paper›PMID 28362403›Full record

ArticleJournal of visualized experiments : JoVE2017

3D Printing of Biomolecular Models for Research and Pedagogy.

Eduardo Da Veiga Beltrame, James Tyrwhitt-Drake, Ian Roy, Raed Shalaby, Jakob Suckale, Daniel Pomeranz Krummel

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 3D Printed Fully Recycled TiONanomaterials (Basel, Switzerland) · 2020
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Eduardo Da Veiga BeltrameDepartment of Physics, Brandeis University.
James Tyrwhitt-DrakeBioinformatics and Computational Biosciences Branch (BCBB), NIH/NIAID/OD/OSMO/OCICB.
Ian RoyLibrary/LTS/MakerLab, Brandeis University.
Raed ShalabyInterfaculty Institute of Biochemistry (IFIB), University of Tübingen.
Jakob SuckaleInterfaculty Institute of Biochemistry (IFIB), University of Tübingen; jakob.suckale@uni-tuebingen.de.
Daniel Pomeranz KrummelWinship Cancer Institute, Emory University School of Medicine; dapk@brandeis.edu.

Funding

Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
NIGMS NIH HHS P41 GM103311
6 · The paper itself

Abstract

The construction of physical three-dimensional (3D) models of biomolecules can uniquely contribute to the study of the structure-function relationship. 3D structures are most often perceived using the two-dimensional and exclusively visual medium of the computer screen. Converting digital 3D molecular data into real objects enables information to be perceived through an expanded range of human senses, including direct stereoscopic vision, touch, and interaction. Such tangible models facilitate new insights, enable hypothesis testing, and serve as psychological or sensory anchors for conceptual information about the functions of biomolecules. Recent advances in consumer 3D printing technology enable, for the first time, the cost-effective fabrication of high-quality and scientifically accurate models of biomolecules in a variety of molecular representations. However, the optimization of the virtual model and its printing parameters is difficult and time consuming without detailed guidance. Here, we provide a guide on the digital design and physical fabrication of biomolecule models for research and pedagogy using open source or low-cost software and low-cost 3D printers that use fused filament fabrication technology.

Indexed as

Models, BiologicalMolecular ConformationPrinting, Three-DimensionalHumansSoftware

Identifiers

PMID28362403
PMCPMC5408980

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.