Evidence map›Paper›PMID 20713128›Full record

ArticleProgress in neurobiology2010

Mathematical modeling of microtubule dynamics: insights into physiology and disease.

Gavin A Buxton, Sandra L Siedlak, George Perry, Mark A Smith

Open access · greenAbstract read
In one paragraph

Article in Progress in neurobiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
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

10 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Computational modeling of single-cell mechanics and cytoskeletal mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2018
    Review
  7. Article
  8. Article
  9. Article
  10. 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

4 authors at 3 institutions in 1 country.

Gavin A BuxtonDepartment of Science, Robert Morris University, Moon Township, PA, USA.
Sandra L Siedlak
George Perry
Mark A Smith
Case Western Reserve University · USRobert Morris University · USThe University of Texas at San Antonio · US

Funding

Role of Cell Cycle in NeurodegenerationR01AG028679 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI LEE, HYOUNG-GON · 2008 to 2012
$1.6M
NIA NIH HHS R01 AG028679
6 · The paper itself

Abstract

Computer models of microtubule dynamics have provided the basis for many of the theories on the cellular mechanics of the microtubules, their polymerization kinetics, and the diffusion of tubulin and tau. In the three-dimensional model presented here, we include the effects of tau concentration and the hydrolysis of GTP-tubulin to GDP-tubulin and observe the emergence of microtubule dynamic instability. This integrated approach simulates the essential physics of microtubule dynamics in a cellular environment. The model captures the structure of the microtubules as they undergo steady state dynamic instabilities in this simplified geometry, and also yields the average number, length, and cap size of the microtubules. The model achieves realistic geometries and simulates cellular structures found in degenerating neurons in disease states such as Alzheimer disease. Further, this model can be used to simulate microtubule changes following the addition of antimitotic drugs which have recently attracted attention as chemotherapeutic agents.

Indexed as

MathematicsModels, BiologicalNonlinear DynamicsAnimalsGuanosine DiphosphateGuanosine TriphosphateHumansKineticsMicrotubulesPolymerizationGuanosine DiphosphateGuanosine Triphosphate

Identifiers

PMID20713128
PMCPMC2991630
OpenAlexW1973020253

What OpenQuestion holds

Textmetadata
LicenceTDM
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.