Evidence map›Paper›PMID 29351315›Full record

ArticlePloS one2018

Large-scale mapping of bioactive peptides in structural and sequence space.

Agustina E Nardo, M Cristina Añón, Gustavo Parisi

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Quantitative In Silico Evaluation of Allergenic Proteins fromCurrent issues in molecular biology · 2022
    Article
  6. Review
  7. BIOPEP-UWM Database of Bioactive Peptides: Current Opportunities.International journal of molecular sciences · 2019
    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

3 authors.

Agustina E NardoDepartamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, CONICET, Bernal, Argentina.ORCID 0000-0001-9003-6004
M Cristina AñónCentro de Investigación y Desarrollo en Criotecnología de Alimentos, Facultad de Ciencia Exactas, Universidad Nacional de la Plata - Comisión de Investigaciones Científicas - CONICET, La Plata, Argentina.
Gustavo ParisiDepartamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, CONICET, Bernal, Argentina.ORCID 0000-0001-7444-1624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health-enhancing potential bioactive peptide (BP) has driven an interest in food proteins as well as in the development of predictive methods. Research in this area has been especially active to use them as components in functional foods. Apparently, BPs do not have a given biological function in the containing proteins and they do not evolve under independent evolutionary constraints. In this work we performed a large-scale mapping of BPs in sequence and structural space. Using well curated BP deposited in BIOPEP database, we searched for exact matches in non-redundant sequences databases. Proteins containing BPs, were used in fold-recognition methods to predict the corresponding folds and BPs occurrences were mapped. We found that fold distribution of BP occurrences possibly reflects sequence relative abundance in databases. However, we also found that proteins with 5 or more than 5 BP in their sequences correspond to well populated protein folds, called superfolds. Also, we found that in well populated superfamilies, BPs tend to adopt similar locations in the protein fold, suggesting the existence of hotspots. We think that our results could contribute to the development of new bioinformatics pipeline to improve BP detection.

Indexed as

Amino Acid SequenceDatabases, ProteinPeptide MappingPeptidesProtein ConformationPeptides

Identifiers

PMID29351315
PMCPMC5774755

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Registered trials

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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.