Evidence map›Paper›PMID 36978434›Full record

ArticleAntibiotics (Basel, Switzerland)2023

Bioinformatics Approaches Applied to the Discovery of Antifungal Peptides.

Carmen Rodríguez-Cerdeira, Alberto Molares-Vila, Carlos Daniel Sánchez-Cárdenas, Jimmy Steven Velásquez-Bámaca, Erick Martínez-Herrera

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
1.9field-weighted citation impact, top 16% 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, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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 at 5 institutions in 3 countries.

Carmen Rodríguez-CerdeiraEfficiency, Quality, and Costs in Health Services Research Group (EFISALUD), Galicia Sur Health Research Institute (IISGS), Servizo Galego de Saúde-Universidade de Vigo (UVIGO), 36213 Vigo, Spain.ORCID 0000-0001-9939-0771
Alberto Molares-VilaMicrobiology Department, University Clinical Hospital of Santiago de Compostela, Servicio Galego de Saúde (SERGAS), 15706 Santiago de Compostela, Spain.ORCID 0000-0003-2431-252X
Carlos Daniel Sánchez-CárdenasEfficiency, Quality, and Costs in Health Services Research Group (EFISALUD), Galicia Sur Health Research Institute (IISGS), Servizo Galego de Saúde-Universidade de Vigo (UVIGO), 36213 Vigo, Spain.
Jimmy Steven Velásquez-BámacaEfficiency, Quality, and Costs in Health Services Research Group (EFISALUD), Galicia Sur Health Research Institute (IISGS), Servizo Galego de Saúde-Universidade de Vigo (UVIGO), 36213 Vigo, Spain.ORCID 0000-0001-7937-4459
Erick Martínez-HerreraEfficiency, Quality, and Costs in Health Services Research Group (EFISALUD), Galicia Sur Health Research Institute (IISGS), Servizo Galego de Saúde-Universidade de Vigo (UVIGO), 36213 Vigo, Spain.ORCID 0000-0001-7298-158X
Centro Médico Nacional La Raza · MXHospital General San Juan de Dios · GTInstituto Politécnico Nacional · MXUniversidade de Santiago de Compostela · ESUniversity Hospital Complex Of Vigo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antifungal peptides (AFPs) comprise a group of substances with a broad spectrum of activities and complex action mechanisms. They develop in nature via an evolutionary process resulting from the interactions between hosts and pathogens. The AFP database is experimentally verified and curated from research articles, patents, and public databases. In this review, we compile information about the primary databases and bioinformatics tools that have been used in the discovery of AFPs during the last 15 years. We focus on the classification and prediction of AFPs using different physicochemical properties, such as polarity, hydrophobicity, hydrophilicity, mass, acidic, basic, and isoelectric indices, and other structural properties. Another method for discovering AFPs is the implementation of a peptidomic approach and bioinformatics filtering, which gave rise to a new family of peptides that exhibit a broad spectrum of antimicrobial activity against

Indexed as

antifungal peptidesbioinformatics toolscomputational toolsdatabases

Identifiers

PMID36978434
PMCPMC10044696
OpenAlexW4324150138

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read4
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.