Evidence map›Paper›PMID 34360723›Full record

ArticleInternational journal of molecular sciences2021

Effects of Lipidation on a Proline-Rich Antibacterial Peptide.

Federica Armas, Adriana Di Stasi, Mario Mardirossian, Antonello A Romani, Monica Benincasa, Marco Scocchi

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 43 citations in OpenAlex.

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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

6 authors at 1 institution in 2 countries.

Federica ArmasDepartment of Life Sciences, University of Trieste, 34127 Trieste, Italy.
Adriana Di StasiDepartment of Life Sciences, University of Trieste, 34127 Trieste, Italy.
Mario MardirossianDepartment of Life Sciences, University of Trieste, 34127 Trieste, Italy.
Antonello A RomaniArta Peptidion srls, 43126 Parma, Italy.
Monica BenincasaDepartment of Life Sciences, University of Trieste, 34127 Trieste, Italy.
Marco ScocchiDepartment of Life Sciences, University of Trieste, 34127 Trieste, Italy.ORCID 0000-0003-1247-3641
University of Trieste · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of multidrug-resistant bacteria is a worldwide health problem. Antimicrobial peptides have been recognized as potential alternatives to conventional antibiotics, but still require optimization. The proline-rich antimicrobial peptide Bac7(1-16) is active against only a limited number of Gram-negative bacteria. It kills bacteria by inhibiting protein synthesis after its internalization, which is mainly supported by the bacterial transporter SbmA. In this study, we tested two different lipidated forms of Bac7(1-16) with the aim of extending its activity against those bacterial species that lack SbmA. We linked a C12-alkyl chain or an ultrashort cationic lipopeptide Lp-I to the C-terminus of Bac7(1-16). Both the lipidated Bac-C12 and Bac-Lp-I forms acquired activity at low micromolar MIC values against several Gram-positive and Gram-negative bacteria. Moreover, unlike Bac7(1-16), Bac-C12, and Bac-Lp-I did not select resistant mutants in

Indexed as

Anti-Bacterial AgentsAntimicrobial Cationic PeptidesLipoylationEscherichia coliGram-Positive BacteriaAnti-Bacterial AgentsAntimicrobial Cationic Peptidesantibiotic resistanceantimicrobial agentantimicrobial peptidebroad-spectrum activitylipidationlipopeptidemembrane permeabilization

Identifiers

PMID34360723
PMCPMC8347091
OpenAlexW3186376625

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.