Evidence map›Paper›PMID 16753133›Full record

ArticleBiochimica et biophysica acta2006

Driving engineering of novel antimicrobial peptides from simulations of peptide-micelle interactions.

Himanshu Khandelia, Allison A Langham, Yiannis N Kaznessis

Abstract read
In one paragraph

Article in Biochimica et biophysica acta, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Multiscale Models of Antibiotic Probiotics.Current opinion in chemical engineering · 2014
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Dimerization of protegrin-1 in different environments.International journal of molecular sciences · 2010
    Article
  14. Article
  15. Article
  16. Article
  17. On the nature of antimicrobial activity: a model for protegrin-1 pores.Journal of the American Chemical Society · 2008
    Article
  18. Article
  19. Article
  20. 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

3 authors.

Himanshu KhandeliaDepartment of Chemical Engineering and Materials Science, University of Minnesota, 421, Washington Avenue SE, Minneapolis, MN 55455, USA. hkhandel@cems.umn.edu <hkhandel@cems.umn.edu>
Allison A Langham
Yiannis N Kaznessis

Funding

Computational Modeling /Design of Antimicrobial PeptidesR01GM070989 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI KAZNESSIS, YIANNIS · 2005 to 2009
$1.1M
NIGMS NIH HHS GM 070989NIGMS NIH HHS R01 GM070989
6 · The paper itself

Abstract

Simulations of antimicrobial peptides in membrane mimics can provide the high resolution, atomistic picture that is necessary to decipher which sequence and structure components are responsible for activity and toxicity. With such detailed insight, engineering new sequences that are active but non-toxic can, in principle, be rationalized. Armed with supercomputers and accurate force fields for biomolecular interactions, we can now investigate phenomena that span hundreds of nanoseconds. Although the phenomena involved in antimicrobial activity, (i.e., diffusion of peptides, interaction with lipid layers, secondary structure attainment, possible surface aggregation, possible formation of pores, and destruction of the lipid layer integrity) collectively span time scales still prohibitively long for classical mechanics simulations, it is now feasible to investigate the initial approach of single peptides and their interaction with membrane mimics. In this article, we discuss the promise and the challenges of widely used models and detail our recent work on peptide-micelle simulations as an attractive alternative to peptide-bilayer simulations. We detail our results with two large structural classes of peptides, helical and beta-sheet and demonstrate how simulations can assist in engineering of novel antimicrobials with therapeutic potential.

Indexed as

MicellesProtein EngineeringAmino Acid SequenceAnti-Infective AgentsMolecular Sequence DataPeptidesProtein Structure, SecondaryAnti-Infective AgentsMicellesPeptides

Identifiers

PMID16753133
PMCPMC2860964

What OpenQuestion holds

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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.