Evidence map›Paper›PMID 27811328›Full record

ArticleMolecular biology of the cell2016

Agent-based modeling: case study in cleavage furrow models.

Alex Mogilner, Angelika Manhart

Abstract read
In one paragraph

Article in Molecular biology of the cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Tools for computational analysis of moving boundary problems in cellular mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
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

2 authors.

Alex MogilnerCourant Institute and Department of Biology, New York University, New York, NY 10012 mogilner@cims.nyu.edu.
Angelika ManhartCourant Institute and Department of Biology, New York University, New York, NY 10012.

Funding

Modeling mitotic spindle assemblyR01GM068952 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI MOGILNER, ALEXANDER · 2003 to 2014
$4.4M
NIGMS NIH HHS R01 GM068952
6 · The paper itself

Abstract

The number of studies in cell biology in which quantitative models accompany experiments has been growing steadily. Roughly, mathematical and computational techniques of these models can be classified as "differential equation based" (DE) or "agent based" (AB). Recently AB models have started to outnumber DE models, but understanding of AB philosophy and methodology is much less widespread than familiarity with DE techniques. Here we use the history of modeling a fundamental biological problem-positioning of the cleavage furrow in dividing cells-to explain how and why DE and AB models are used. We discuss differences, advantages, and shortcomings of these two approaches.

Indexed as

Systems AnalysisAnimalsCell DivisionHumansModels, BiologicalModels, TheoreticalStatistics as Topic

Identifiers

PMID27811328
PMCPMC5221574

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.