Evidence map›Paper›PMID 25418167›Full record

ArticleBiophysical journal2014

Thermodynamics of antimicrobial lipopeptide binding to membranes: origins of affinity and selectivity.

Dejun Lin, Alan Grossfield

Abstract read
In one paragraph

Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. The Short Lipopeptides (CAntibiotics (Basel, Switzerland) · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Computational studies of peptide-induced membrane pore formation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  13. Article
  14. Article
  15. Article
  16. 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.

Dejun LinDepartment of Biochemistry and Biophysics, University of Rochester Medical Center, Rochester, New York.
Alan GrossfieldDepartment of Biochemistry and Biophysics, University of Rochester Medical Center, Rochester, New York. Electronic address: alan_grossfield@urmc.rochester.edu.

Funding

Multiscale modeling of G protein-coupled receptorsR01GM095496 · NIGMS · UNIVERSITY OF ROCHESTER · PI GROSSFIELD, ALAN · 2011 to 2015
$1.3M
NIGMS NIH HHS GM095496NIGMS NIH HHS R01 GM095496
6 · The paper itself

Abstract

The development of novel antibiotic drugs is one of the most pressing biomedical problems due to the increasing number of antibiotic-resistant pathogens. Antimicrobial peptides and lipopeptides are a promising category of candidates, but the molecular origins of their antimembrane activity is unclear. Here we explore a series of recently developed antimicrobial lipopeptides, using coarse-grained molecular-dynamics simulations and free energy methods to uncover the thermodynamics governing their binding to membranes. Specifically, we quantify C16-KGGK's binding affinity to the two types of membrane by umbrella sampling. We also examined the origin of C16-KGGK's selectivity for bacterial versus mammalian membranes by systematically varying the peptide sequence and salt concentration. Our data showed that the C16 hydrophobic tail is the main contributor to its affinity to lipid membrane, whereas the peptide portion is mainly responsible for its selectivity. Furthermore, the electrostatic interaction between the cationic peptide and anionic bacterial membrane plays a significant role in the selectivity.

Indexed as

AnimalsAnti-Infective AgentsCell MembraneLipid BilayersLipopeptidesProtein BindingStatic ElectricityThermodynamicsAnti-Infective AgentsLipid BilayersLipopeptides

Identifiers

PMID25418167
PMCPMC4213737

What OpenQuestion holds

Textmetadata
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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.