Evidence map›Paper›PMID 35621968›Full record

ReviewMarine drugs2022

Bioactive Peptides from Algae: Traditional and Novel Generation Strategies, Structure-Function Relationships, and Bioinformatics as Predictive Tools for Bioactivity.

Jack O'Connor, Marco Garcia-Vaquero, Steve Meaney, Brijesh Kumar Tiwari

Open access · goldAbstract readReview
In one paragraph

Review in Marine drugs, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.1field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 69 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Jack O'ConnorSchool of Biological & Health Sciences, Technological University Dublin, Dublin 2, Ireland.
Marco Garcia-VaqueroSection of Food and Nutrition, School Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland.ORCID 0000-0002-9939-063X
Steve MeaneySchool of Biological & Health Sciences, Technological University Dublin, Dublin 2, Ireland.
Brijesh Kumar TiwariDepartment of Food Chemistry and Technology, Teagasc Food Research Centre, Ashtown, Dublin 15, Ireland.
Teagasc - The Irish Agriculture and Food Development Authority · IETechnological University Dublin · IEUniversity College Dublin · IE

Funding

Teagasc - The Irish Agriculture and Food Development Authority 0018
6 · The paper itself

Abstract

Over the last decade, algae have been explored as alternative and sustainable protein sources for a balanced diet and more recently, as a potential source of algal-derived bioactive peptides with potential health benefits. This review will focus on the emerging processes for the generation and isolation of bioactive peptides or cryptides from algae, including: (1) pre-treatments of algae for the extraction of protein by physical and biochemical methods; and (2) methods for the generation of bioactive including enzymatic hydrolysis and other emerging methods. To date, the main biological properties of the peptides identified from algae, including anti-hypertensive, antioxidant and anti-proliferative/cytotoxic effects (for this review, anti-proliferative/cytotoxic will be referred to by the term anti-cancer), assayed in vitro and/or in vivo, will also be summarized emphasizing the structure-function relationship and mechanism of action of these peptides. Moreover, the use of in silico methods, such as quantitative structural activity relationships (QSAR) and molecular docking for the identification of specific peptides of bioactive interest from hydrolysates will be described in detail together with the main challenges and opportunities to exploit algae as a source of bioactive peptides.

Indexed as

Computational BiologyPeptidesHydrolysisMolecular Docking SimulationStructure-Activity RelationshipPeptidesanti-canceranti-hypertensiveantioxidantbiotechnologycryptidesin silico

Identifiers

PMID35621968
PMCPMC9145204
OpenAlexW4280608500

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.