Literature DB >> 28708310

Omics-prediction of bioactive peptides from the edible cyanobacterium Arthrospira platensis proteome.

Chaofan Ji1,2, Jing Han1,2, Jingbo Zhang1,2, Jing Hu1,2, Yinghuan Fu2,3, Hang Qi1,2, Yue Sun1, Chenxu Yu2,4.   

Abstract

BACKGROUND: Bioinformatics approaches are widely used to evaluate the prospects of novel protein sources in bioactive peptide research. Edible cyanobacteria are considered as potential protein precursors. However, the abundance of unicellular cyanobacterial proteins is largely unknown and highly dynamic according to the cultivation conditions, which need to be considered in this research field. The objective of this work was to evaluate the protein abundance of Arthrospira platensis, as well as to map the bioactive peptide sequences from the high-abundance proteins of the A. platensis proteome.
RESULTS: The high-abundance proteins of the A. platensis proteome were identified with a high-performance liquid chromatography-tandem mass spectrometry-based method. A total of 593 proteins were detected and quantified. The occurrence frequency of the bioactive peptides in A. platensis proteome was calculated according to the amino acid sequences via the bioinformatics approaches. Further in silico digested by trypsin, pepsin and chymotrypsin, these proteins liberated 78, 99, and 96 bioactive peptides, respectively. In each case, angiotensin-converting enzyme inhibitors and dipeptidyl peptidase IV inhibitors were enriched.
CONCLUSION: This work will help rationally design the protocols for cyanobacterial cultivation, protein pre-treatment and peptide separation, and further produce more peptides with specific functions.
© 2017 Society of Chemical Industry. © 2017 Society of Chemical Industry.

Entities:  

Keywords:  Arthrospira platensis; edible cyanobacterium; in silico; peptides; proteome

Mesh:

Substances:

Year:  2017        PMID: 28708310     DOI: 10.1002/jsfa.8546

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  3 in total

1.  Conventional and in silico approaches to select promising food-derived bioactive peptides: A review.

Authors:  Audry Peredo-Lovillo; Adrián Hernández-Mendoza; Belinda Vallejo-Cordoba; Haydee Eliza Romero-Luna
Journal:  Food Chem X       Date:  2021-12-20

2.  In Silico Analysis of Bioactive Peptides in Invasive Sea Grass Halophila stipulacea.

Authors:  Cagin Kandemir-Cavas; Horacio Pérez-Sanchez; Nazli Mert-Ozupek; Levent Cavas
Journal:  Cells       Date:  2019-06-07       Impact factor: 6.600

3.  Effects of Spirulina platensis on insulin secretion, dipeptidyl peptidase IV activity and both carbohydrate digestion and absorption indicate potential as an adjunctive therapy for diabetes.

Authors:  J M A Hannan; Prawej Ansari; Shofiul Azam; Peter R Flatt; Yasser H A Abdel Wahab
Journal:  Br J Nutr       Date:  2020-06-10       Impact factor: 3.718

  3 in total

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