Evidence map›Paper›PMID 32455792›Full record

ReviewMolecules (Basel, Switzerland)2020

Antimicrobials from Venomous Animals: An Overview.

Tania Yacoub, Mohamad Rima, Marc Karam, Jean-Marc Sabatier And Ziad Fajloun

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
–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

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. NanoformulatedNanomaterials (Basel, Switzerland) · 2026
    Article
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  5. Review
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  7. Article
  8. Characterization ofToxins · 2025
    Article
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  11. Article
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  13. Article
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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

4 authors.

Tania YacoubDepartment of Biology, University of Balamand, Kalhat, Al-Kurah, P.O. box 100 Tripoli, Lebanon.
Mohamad RimaInstitut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), INSERM U964, CNRS U7104, Université de Strasbourg, 67400 Illkirch, France.ORCID 0000-0002-0335-9882
Marc KaramDepartment of Biology, University of Balamand, Kalhat, Al-Kurah, P.O. box 100 Tripoli, Lebanon.
Jean-Marc Sabatier And Ziad FajlounFaculté de Médecine Secteur Nord, 51, Université Aix-Marseille, Institut de NeuroPhysiopathologie, UMR 7051, Boulevard Pierre Dramard-CS80011, 13344-Marseille Cedex 15, France.ORCID 0000-0002-6502-3110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inappropriate or excessive use of antimicrobial agents caused an emerging public health problem due to the resulting resistance developed by microbes. Therefore, there is an urgent need to develop effective antimicrobial strategies relying on natural agents with different mechanisms of action. Nature has been known to offer many bioactive compounds, in the form of animal venoms, algae, and plant extracts that were used for decades in traditional medicine. Animal venoms and secretions have been deeply studied for their wealth in pharmaceutically promising molecules. As such, they were reported to exhibit many biological activities of interest, such as antibacterial, antiviral, anticancer, and anti-inflammatory activities. In this review, we summarize recent findings on the antimicrobial activities of crude animal venoms/secretions, and describe the peptides that are responsible of these activities.

Indexed as

AnimalsAnti-Infective AgentsAntiviral AgentsHumansPeptidesVenomsAnti-Infective AgentsAntiviral AgentsPeptidesVenomsantantimicrobial activitiesbeefrogscorpionsnakespider

Identifiers

PMID32455792
PMCPMC7287856

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.