Evidence map›Paper›PMID 19209932›Full record

ArticleJournal of the American Chemical Society2009

Metal-binding dependent disruption of membranes by designed helices.

Rachel S Signarvic, William F Degrado

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Quarterly reviews of biophysics · 2020
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Computational design of membrane proteins.Structure (London, England : 1993) · 2012
    Review
  9. Review
  10. Copper(II) enhances membrane-bound α-synuclein helix formation.Metallomics : integrated biometal science · 2011
    Article
  11. Proteins that switch folds.Current opinion in structural biology · 2010
    Review
  12. 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 at 1 institution in 1 country.

Rachel S SignarvicDepartment of Biochemistry and Biophysics, and the Department of Chemistry, University of Pennsylvania, Stellar-Chance Building Room 1010, 421 Curie Boulevard, Philadelphia, Pennsylvania 19104-6059, USA.
William F Degrado
University of Pennsylvania · US

Funding

Structure of M2 Proton Channel from Influenza A VirusR01GM056423 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI DEGRADO, WILLIAM · 1997 to 2016
$4.5M
NIGMS NIH HHS R01 GM056423PHS HHS R0156423
6 · The paper itself

Abstract

The de novo design of molecular switching peptides is of increasing interest because it tests and extends our fundamental understanding of this process while laying the groundwork for the creation of new chemical and biological sensors. Here, an alpha-helical amphiphilic cell-lytic peptide, mastoparan X, was engineered to bind divalent cations. Binding of Zn(II) or Ni(II) to the designed peptide Mst-HH stabilizes the lytic amphiphilic structure and increases the activity of the peptide. Although both Zn(II) and Ni(II) activate Mst-HH for membrane lysis, they appear to do so via different mechanisms. Additionally, a series of metal binding-site mutants were synthesized to assess the relationship of charge and helical propensity to the toxicity and switchability. Additionally, by changing the characteristics of the metal-binding ligands, we can vary the selectivity of the site.

Indexed as

Binding SitesCell MembraneMetalloproteinsModels, MolecularNickelPeptidesZincMetalloproteinsNickelPeptidesZinc

Identifiers

PMID19209932
PMCPMC3774282
OpenAlexW1981950127

What OpenQuestion holds

Textmetadata
LicenceTDM
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.