Evidence map›Paper›PMID 28821213›Full record

ArticleBiointerphases2017

Molecular modeling to predict peptide accessibility for peptide-functionalized hydrogels.

Xianfeng Li, Jia Jia, Ying Mei, Robert A Latour

Abstract read
In one paragraph

Article in Biointerphases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Xianfeng LiDepartment of Bioengineering, Clemson University, Clemson, South Carolina 29634.
Jia JiaDepartment of Bioengineering, Clemson University, Clemson, South Carolina 29634.
Ying MeiDepartment of Bioengineering, Clemson University, Clemson, South Carolina 29634.
Robert A LatourDepartment of Bioengineering, Clemson University, Clemson, South Carolina 29634.

Funding

RESBIO - the Technology Resource for Polymeric BiomaterialsP41EB001046 · NIBIB · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI KOHN, JOACHIM B. · 2003 to 2017
$17.0M
Targeted Nano-therapeutics for Neural RegenerationP20GM103444 · NIGMS · CLEMSON UNIVERSITY · PI MARKWALD, ROGER R, VYAVAHARE, NAREN R · 2012 to 2018
$14.9M
NIBIB NIH HHS P41 EB001046NIGMS NIH HHS P20 GM103444
6 · The paper itself

Abstract

Peptide-functionalized (PF) hydrogels are being widely investigated by the tissue engineering and regenerative medicine communities for a broad range of applications because of their unique potential to mimic the natural extracellular matrix and promote tissue regeneration. In order for these complex material systems to perform their intended bioactive function (e.g., cell signaling), the peptides that are tethered to the hydrogel matrix must be accessible at the hydrogel surface for cell-receptor binding. The factors influencing the surface accessibility of the tethered peptide mainly include the length of the tethers, the loading (i.e., concentration) of the peptide, and the association between the tethered peptide and the hydrogel matrix. In the present work, the authors developed coarse-grained molecular models based on the all-atom polymer consistent force field for a type of poly(ethylene glycol)-based PF hydrogel and conducted molecular simulations to investigate the distribution of the peptide within the hydrogel and its surface accessibility as a function of tether length and peptide concentration. The calculated results of the effects of these design parameters on the surface accessibility of the peptide agree very well with corresponding experimental measurements in which peptide accessibility was quantified by the number of cells attached to the hydrogel surface per unit area. The developed modeling methods are able to provide unique insights into the molecular behavior of PF hydrogels and the distribution of the tethered peptides, which can serve as a guide for hydrogel design optimization.

Indexed as

Models, MolecularHydrogelsPeptidesPolyethylene GlycolsHydrogelsPeptidesPolyethylene Glycols

Identifiers

PMID28821213
PMCPMC5562506

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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.