Evidence map›Paper›PMID 34197806›Full record

ArticleBiophysical journal2021

Fuzzy binding model of molecular interactions between tropoelastin and integrin alphaVbeta3.

Jazmin Ozsvar, Richard Wang, Anna Tarakanova, Markus J Buehler, Anthony S Weiss

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biophysical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Elastic Fibre Proteins in Elastogenesis and Wound Healing.International journal of molecular sciences · 2022
    Review
  2. 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

5 authors at 3 institutions in 2 countries.

Jazmin OzsvarCharles Perkins Centre, The University of Sydney, Sydney, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, Australia.
Richard WangCharles Perkins Centre, The University of Sydney, Sydney, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, Australia.
Anna TarakanovaDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut; Department of Mechanical Engineering, University of Connecticut, Storrs, Connecticut.
Markus J BuehlerDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Anthony S WeissCharles Perkins Centre, The University of Sydney, Sydney, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, Australia; Sydney Nano Institute, The University of Sydney, Sydney, Australia. Electronic address: tony.weiss@sydney.edu.au.
University of Sydney · AUMassachusetts Institute of Technology · USUniversity of Connecticut · US

Funding

Models to Predict Protein Biomaterial PerformanceU01EB014976 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI BUEHLER, MARKUS J., KAPLAN, DAVID L. · 2012 to 2020
$5.2M
NIBIB NIH HHS U01 EB014976
6 · The paper itself

Abstract

Tropoelastin is the highly flexible monomer subunit of elastin, required for the resilience of the extracellular matrix in elastic tissues. To elicit biological signaling, multiple sites on tropoelastin bind to cell surface integrins in a poorly understood multifactorial process. We constructed a full atomistic molecular model of the interactions between tropoelastin and integrin α

Indexed as

Integrin alphaVbeta3TropoelastinBinding SitesElastinExtracellular MatrixHumansElastinIntegrin alphaVbeta3Tropoelastin

Identifiers

PMID34197806
PMCPMC8390957
OpenAlexW3173648795

What OpenQuestion holds

Textmetadata
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.