Evidence map›Paper›PMID 36978339›Full record

ArticleAntibiotics (Basel, Switzerland)2023

Novel Arginine- and Proline-Rich Candidacidal Peptides Obtained through a Bioinformatic Approach.

Tecla Ciociola, Laura Giovati, Tiziano De Simone, Greta Bergamaschi, Alessandro Gori, Valerio Consalvi, Stefania Conti, Alberto Vitali

Open access · goldFull text read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Antifungal Efficacy of Antimicrobial Peptide Octominin II againstInternational journal of molecular sciences · 2023
    Article
  3. 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

8 authors at 3 institutions in 1 country.

Tecla CiociolaDepartment of Medicine and Surgery, University of Parma, 43126 Parma, Italy.ORCID 0000-0001-6499-2545
Laura GiovatiDepartment of Medicine and Surgery, University of Parma, 43126 Parma, Italy.ORCID 0000-0001-7514-1789
Tiziano De SimoneDepartment of Medicine and Surgery, University of Parma, 43126 Parma, Italy.ORCID 0000-0001-5446-3164
Greta BergamaschiNational Research Council of Italy, Istituto di Scienze e Tecnologie Chimiche (SCITEC-CNR), 20131 Milan, Italy.
Alessandro GoriNational Research Council of Italy, Istituto di Scienze e Tecnologie Chimiche (SCITEC-CNR), 20131 Milan, Italy.
Valerio ConsalviDipartimento di Scienze Biochimiche "A. Rossi Fanelli", Sapienza University of Rome, 00185 Roma, Italy.
Stefania ContiDepartment of Medicine and Surgery, University of Parma, 43126 Parma, Italy.ORCID 0000-0001-9973-8352
Alberto VitaliNational Research Council of Italy, Istituto di Scienze e Tecnologie Chimiche (SCITEC-CNR), 00168 Rome, Italy.ORCID 0000-0001-9828-4117
University of Parma · ITNational Research Council · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance is a major public health concern worldwide. Albeit to a lesser extent than bacteria, fungi are also becoming increasingly resistant to antifungal drugs. Moreover, due to the small number of antifungal classes, therapy options are limited, complicating the clinical management of mycoses. In this view, antimicrobial peptides (AMPs) are a potential alternative to conventional drugs. Among these, Proline-rich antimicrobial peptides (PrAMPs), almost exclusively of animal origins, are of particular interest due to their peculiar mode of action. In this study, a search for new arginine- and proline-rich peptides from plants has been carried out with a bioinformatic approach by sequence alignment and antimicrobial prediction tools. Two peptide candidates were tested against planktonic cells and biofilms of

Indexed as

antimicrobial peptidesbioinformatic analysisCandida speciescircular dichroismconfocal laser scanning microscopyfungal biofilms

Identifiers

PMID36978339
PMCPMC10044544
OpenAlexW4322500984

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read67
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 Socratic graph.