Evidence map›Paper›PMID 35852800›Full record

ArticleNanoscale2022

Molecular simulations of the interfacial properties in silk-hydroxyapatite composites.

Diego López Barreiro, Zaira Martín-Moldes, Adrián Blanco Fernández, Vincent Fitzpatrick, David L Kaplan, Markus J Buehler

Abstract read
In one paragraph

Article in Nanoscale, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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.

Diego López BarreiroLaboratory for Atomistic and Molecular Mechanics (LAMM), 77 Massachusetts Avenue, 1-165, Cambridge, MA 02139, USA. mbuehler@MIT.EDU.ORCID http://orcid.org/0000-0002-9346-655X
Zaira Martín-MoldesLaboratory for Atomistic and Molecular Mechanics (LAMM), 77 Massachusetts Avenue, 1-165, Cambridge, MA 02139, USA. mbuehler@MIT.EDU.ORCID http://orcid.org/0000-0002-2932-8064
Adrián Blanco FernándezInstituto de Cerámica de Galicia (ICG), Universidade de Santiago de Compostela, Avda. do Mestre Mateo, 25, 15706, Santiago de Compostela, A Coruña, Spain.ORCID http://orcid.org/0000-0002-9434-9494
Vincent FitzpatrickDepartment of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA.ORCID http://orcid.org/0000-0002-0556-1179
David L KaplanDepartment of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA.ORCID http://orcid.org/0000-0002-9245-7774
Markus J BuehlerLaboratory for Atomistic and Molecular Mechanics (LAMM), 77 Massachusetts Avenue, 1-165, Cambridge, MA 02139, USA. mbuehler@MIT.EDU.ORCID http://orcid.org/0000-0002-4173-9659

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

Biomineralization is a common strategy used in Nature to improve the mechanical strength and toughness of biological materials. This strategy, applied in materials like bone or nacre, serves as inspiration for materials scientists and engineers to design new materials for applications in healthcare, soft robotics or the environment. In this regard, composites consisting of silk and hydroxyapatite have been extensively researched for bone regeneration applications, due to their reported cytocompatibility and osteoinduction capacity that supports bone formation

Indexed as

DurapatiteSilkBiocompatible MaterialsBone RegenerationSteamBiocompatible MaterialsDurapatiteSilkSteam

Identifiers

PMID35852800
PMCPMC9351605

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.