Evidence map›Paper›PMID 34200462›Full record

ArticleMolecules (Basel, Switzerland)2021

Unveiling Putative Functions of Mucus Proteins and Their Tryptic Peptides in Seven Gastropod Species Using Comparative Proteomics and Machine Learning-Based Bioinformatics Predictions.

Viroj Tachapuripunya, Sittiruk Roytrakul, Pramote Chumnanpuen, Teerasak E-Kobon

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  5. Chemical Variability and Biological Potential ofMolecules (Basel, Switzerland) · 2025
    Review
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  7. Unveiling the therapeutic journey of snail mucus in diabetic wound care.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Identifying Natural Bioactive Peptides from the Common Octopus (International journal of molecular sciences · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Prediction of Antibacterial Peptides againstMolecules (Basel, Switzerland) · 2022
    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

4 authors at 2 institutions in 1 country.

Viroj TachapuripunyaDepartment of Genetics, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand.ORCID 0000-0002-0020-3305
Sittiruk RoytrakulFunctional Ingredients and Food Innovation Research Group, National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency, Pathum Thani 12120, Thailand.ORCID 0000-0003-3696-8390
Pramote ChumnanpuenDepartment of Zoology, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand.
Teerasak E-KobonDepartment of Genetics, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand.ORCID 0000-0002-3919-9841
Kasetsart University · THNational Science and Technology Development Agency · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastropods are among the most diverse animals. Gastropod mucus contains several glycoproteins and peptides that vary by species and habitat. Some bioactive peptides from gastropod mucus were identified only in a few species. Therefore, using biochemical, mass spectrometric, and bioinformatics approaches, this study aimed to comprehensively identify putative bioactive peptides from the mucus proteomes of seven commonly found or commercially valuable gastropods. The mucus was collected in triplicate samples, and the proteins were separated by 1D-SDS-PAGE before tryptic digestion and peptide identification by nano LC-MS/MS. The mucus peptides were subsequently compared with R scripts. A total of 2818 different peptides constituting 1634 proteins from the mucus samples were identified, and 1218 of these peptides (43%) were core peptides found in the mucus of all examined species. Clustering and correspondence analyses of 1600 variable peptides showed unique mucous peptide patterns for each species. The high-throughput k-nearest neighbor and random forest-based prediction programs were developed with more than 95% averaged accuracy and could identify 11 functional categories of putative bioactive peptides and 268 peptides (9.5%) with at least five to seven bioactive properties. Antihypertensive, drug-delivering, and antiparasitic peptides were predominant. These peptides provide an understanding of gastropod mucus, and the putative bioactive peptides are expected to be experimentally validated for further medical, pharmaceutical, and cosmetic applications.

Indexed as

AnimalsChromatography, LiquidComputational BiologyElectrophoresis, Polyacrylamide GelGastropodaMachine LearningMucusPeptidesProteomeProteomicsTandem Mass SpectrometryPeptidesProteomebioactive peptidesgastropodmachine-learning predictionmucusproteomics

Identifiers

PMID34200462
PMCPMC8201360
OpenAlexW3166468220

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.