Evidence map›Paper›PMID 35372826›Full record

ArticleToxicon: X2022

Profiling hymenopteran venom toxins: Protein families, structural landscape, biological activities, and pharmacological benefits.

Juan Carlos Guido-Patiño, Fabien Plisson

Open access · goldAbstract read
In one paragraph

Article in Toxicon: X, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
9.5field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
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  12. Proteomics ofToxins · 2023
    Article
  13. Article
  14. Article
  15. Natural toxins and One Health: a review.Science in One Health · 2022
    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

2 authors at 2 institutions in 1 country.

Juan Carlos Guido-PatiñoCentro de Investigación y de Estudios Avanzados Del IPN (CINVESTAV), Unidad de Genómica Avanzada, Laboratorio Nacional de Genómica para La Biodiversidad (Langebio), Irapuato, Guanajuato, 36824, Mexico.
Fabien PlissonCONACYT, Centro de Investigación y de Estudios Avanzados Del IPN (CINVESTAV), Unidad de Genómica Avanzada, Laboratorio Nacional de Genómica para La Biodiversidad (Langebio), Irapuato, Guanajuato, 36824, Mexico.
Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional · MXSecretaría de Ciencia, Humanidades, Tecnología e Innovación · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hymenopterans are an untapped source of venom secretions. Their recent proteo-transcriptomic studies have revealed an extraordinary pool of toxins that participate in various biological processes, including pain, paralysis, allergic reactions, and antimicrobial activities. Comprehensive and clade-specific campaigns to collect hymenopteran venoms are therefore needed. We consider that data-driven bioprospecting may help prioritise sampling and alleviate associated costs. This work established the current protein landscape from hymenopteran venoms to evaluate possible sample bias by studying their origins, sequence diversity, known structures, and biological functions. We collected all 282 reported hymenopteran toxins (peptides and proteins) from the UniProt database that we clustered into 21 protein families from the three studied clades - wasps, bees, and ants. We identified 119 biological targets of hymenopteran toxins ranging from pathogen membranes to eukaryotic proteases, ion channels and protein receptors. Our systematic study further extended to hymenopteran toxins' therapeutic and biotechnological values, where we revealed promising applications in crop pests, human infections, autoimmune diseases, and neurodegenerative disorders.

Indexed as

AculeatoxinAllergensAMP, antimicrobial peptideAntimicrobial peptidesHymenopteraICK, inhibitor cystine knotMCD, mast cell degranulating peptideNeurotoxinsPDB, Protein Data BankpLDDT, predicted local distance difference testVenomics

Identifiers

PMID35372826
PMCPMC8971319
OpenAlexW4220818178

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.