Evidence map›Paper›PMID 24176015›Full record

ArticleThe journal of physical chemistry. B2013

Spontaneous membrane-translocating peptide adsorption at silica surfaces: a molecular dynamics study.

Karina Kubiak-Ossowska, Glenn Burley, Siddharth V Patwardhan, Paul A Mulheran

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Simulating Peptide Monolayer Formation: GnRH-I on Silica.International journal of molecular sciences · 2021
    Article
  7. Article
  8. 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.

Karina Kubiak-OssowskaDepartment of Chemical and Process Engineering, University of Strathclyde , James Weir Building, 75 Montrose Street, Glasgow G1 1XJ, United Kingdom.
Glenn Burley
Siddharth V Patwardhan
Paul A Mulheran

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spontaneous membrane-translocating peptides (SMTPs) have recently been shown to directly penetrate cell membranes. Adsorption of a SMTP, and some engineered extensions, at model silica surfaces is studied herein using fully atomistic molecular dynamics simulations in order to assess their potential to construct novel drug delivery systems. The simulations are designed to reproduce the electric fields above single, siloxide-rich charged surfaces, and the trajectories indicate that the main driving force for adsorption is electrostatic. An increase in the salt concentration slows down but does not prevent adsorption of the SMTP to the surface; it also does not result in peptide desorption, suggesting additional binding via hydrophobic forces. The results are used to design extensions to the peptide sequence which we find enhance adsorption but do not affect the adsorbed conformation. We also investigate the effect of surface hydroxylation on the peptide adsorption. In all cases, the final adsorbed conformations are with the peptide flattened to the surface with arginine residues, which are key to the peptide's function, anchoring it to the surface so that they are not exposed to solution. This conformation could impact their role in membrane translocation and thus has important implications for the design of future drug delivery vehicles.

Indexed as

Molecular Dynamics SimulationAdsorptionAmino Acid SequenceMolecular Sequence DataPeptidesSilicon DioxideStatic ElectricitySurface PropertiesPeptidesSilicon Dioxide

Identifiers

PMID24176015
PMCPMC3871889

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.