Evidence map›Paper›PMID 28981126›Full record

ArticleInterface focus2016

Integrated multiscale biomaterials experiment and modelling: a perspective.

Markus J Buehler, Guy M Genin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Interface focus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

2 authors.

Markus J BuehlerLaboratory for Atomistic and Molecular Mechanics, Department of Civil and Environmental Engineering, and Center for Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Guy M GeninDepartment of Mechanical Engineering and Materials Science, and Department of Neurological Surgery, Washington University, St Louis, MO 63130, USA.

Funding

Models to Predict Protein Biomaterial PerformanceU01EB014976 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI BUEHLER, MARKUS J., KAPLAN, DAVID L. · 2012 to 2020
$5.2M
Cross-scale interactions between mineral and collagen for tendon-bone attachmentU01EB016422 · NIBIB · WASHINGTON UNIVERSITY · PI GENIN, GUY M, THOMOPOULOS, STAVROS · 2013 to 2017
$2.4M
THE EFFECTS OF MYOFIBROBLASTS ON ELECTROMECHANICAL FUNCTION OF MODEL HEART TISSUER01HL109505 · NHLBI · WASHINGTON UNIVERSITY · PI ELSON, ELLIOT L., GENIN, GUY M · 2012 to 2015
$2.0M
NIBIB NIH HHS U01 EB014976NIBIB NIH HHS U01 EB016422
6 · The paper itself

Abstract

Advances in multiscale models and computational power have enabled a broad toolset to predict how molecules, cells, tissues and organs behave and develop. A key theme in biological systems is the emergence of macroscale behaviour from collective behaviours across a range of length and timescales, and a key element of these models is therefore hierarchical simulation. However, this predictive capacity has far outstripped our ability to validate predictions experimentally, particularly when multiple hierarchical levels are involved. The state of the art represents careful integration of multiscale experiment and modelling, and yields not only validation, but also insights into deformation and relaxation mechanisms across scales. We present here a sampling of key results that highlight both challenges and opportunities for integrated multiscale experiment and modelling in biological systems.

Indexed as

model validationmodel verificationmultiscale modelling

Identifiers

PMID28981126
PMCPMC4686254

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.