Evidence map›Paper›PMID 41947462›Full record

ArticleBiophysical journal2026

Implicit membrane for helical peptide selectivity toward bacterial membranes.

Sofía Blasco, Erin Spearing, Martina Drabinová, Vendula Rašková, Robert Vácha

Abstract read
In one paragraph

Article in Biophysical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Sofía BlascoCEITEC - Central European Institute of Technology, Kamenice 5, 625 00 Brno, Czech Republic; National Centre for Biomolecular Research, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic.
Erin SpearingCEITEC - Central European Institute of Technology, Kamenice 5, 625 00 Brno, Czech Republic.
Martina DrabinováCEITEC - Central European Institute of Technology, Kamenice 5, 625 00 Brno, Czech Republic.
Vendula RaškováCEITEC - Central European Institute of Technology, Kamenice 5, 625 00 Brno, Czech Republic.
Robert VáchaCEITEC - Central European Institute of Technology, Kamenice 5, 625 00 Brno, Czech Republic; National Centre for Biomolecular Research, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic; Department of Condensed Matter Physics, Faculty of Science, Masaryk University, Kotlářská 2, 611 37 Brno, Czech Republic. Electronic address: robert.vacha@muni.cz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Membrane lipid composition varies significantly across organisms, cell types, and organelles. Mammalian membranes predominantly contain lipids like phosphatidylcholine or sphingomyelin, whereas bacterial membranes are rich in phosphatidylglycerol, phosphatidylethanolamine, and cardiolipin. This diversity in lipid composition presents an opportunity to design peptides that target specific cell types. Particularly, peptides designed to preferentially bind bacterial membranes can have applications to treat bacterial infections while avoiding toxicity. Here, we present a method to identify a broad range of peptide sequences with preferential binding to bacterial membrane models. Using molecular dynamics simulations, we calculated the free energy of insertion for natural amino acid side chains into simplified bacterial and mammalian membranes and implemented a genetic algorithm to identify alpha helical peptide sequences that preferentially adsorb to bacterial membranes. The main limitation of the model is the assumption of helical secondary structure.

Indexed as

BacteriaCell MembranePeptidesAmino Acid SequenceAnimalsMolecular Dynamics SimulationProtein Conformation, alpha-HelicalProtein Structure, SecondaryPeptides

Identifiers

PMID41947462
PMCPMC13351856

What OpenQuestion holds

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Registered trials

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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.