Prediction of Bioactive Peptides from Chlorella sorokiniana Proteins Using Proteomic Techniques in Combination with Bioinformatics Analyses
Open accessAbstract
Chlorella is one of the most nutritionally important microalgae with high protein content and can be a good source of potential bioactive peptides. In the current study, isolated proteins from Chlorella sorokiniana were subjected to in silico analysis to predict potential peptides with biological activities. Molecular characteristics of proteins were analyzed by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and proteomics techniques. A total of eight proteins were identified by proteomics techniques from 10 protein bands of the SDS-PAGE. The predictive result by BIOPEP’s profile of bioactive peptides tools suggested that proteins of C. sorokiniana have the highest number of dipeptidyl peptidase-IV (DPP IV) inhibitors, with high occurrence of other bioactive peptides such as angiotensin-I converting enzyme (ACE) inhibitor, glucose uptake stimulant, antioxidant, regulating, anti-amnestic and antithrombotic peptides. In silico analysis of enzymatic hydrolysis revealed that pepsin (pH > 2), bromelain and papain were proteases that can release relatively larger quantity of bioactive peptides. In addition, combinations of different enzymes in hydrolysis were observed to dispense higher numbers of bioactive peptides from proteins compared to using individual proteases. Results suggest the potential of protein isolated from C. sorokiniana could be a source of high value products with pharmaceutical and nutraceutical application potential.
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In silico-directed approaches have gained increasing popularity in recent studies of algal proteins (e.g. Limnospira platensis, Chlorella vulgaris, and Ulva lactuca) to guide discovery faster and maximize specificity of peptide selection.
“Such in silico-directed approaches have gained increasing popularity in recent studies of algal proteins (e.g. Limnospira platensis, Chlorella vulgaris, and Ulva lactuca) to guide the discovery process faster and maximize the specificity of peptide selection [119,214,215].”
From Navigating the potential of algal peptides: health effects, market applications, and scientific challenges (2026) · cites this paper as [215]
The Results and Discussion (section 2.3) say in silico analysis predicts potential bioactivities faster than conventional methods, and the Conclusions describe its use to identify appropriate proteases for Chlorella sorokiniana. The paper does not establish increasing popularity or show that the approach maximizes the specificity of peptide selection. Its own study concerns C. sorokiniana, rather than any of the three species listed as examples. (LLM, conf=0.85)
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References 58 · Cited by 75
- Authors
- Tejano, L. A., Peralta, J. P., Yap, E. E. S., Panjaitan, F. C. A., & Chang, Y.-W.
- Affiliations
- University of the Philippines Visayas (PH)
- National Taiwan Ocean University (TW)
- Corresponding author
- Chang, Yu-Wei
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2019-04-11
- Volume
- 20
- Issue
- 7
- Pages
- 1786
- ISSN
- 1422-0067 (ISSN-L)
- PMC
- PMC6480496
- OpenAlex
- W2936302859
- Cited by
- 75
- References
- 58
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 14 · 2023: 10 · 2022: 15 · 2021: 10 · 2020: 8 · 2019: 3
- FWCI
- 2.98
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- International Journal of Molecular Sciences (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Ministry of Science and Technology, Taiwan (106-2311-B-019-001)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Hydrolysis and Bioactive Peptides
- Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Seaweed-derived Bioactive Compounds
- Health Sciences › Medicine › Oncology › Peptidase Inhibition and Analysis
- Keywords
- Chlorella sorokiniana, bioactive peptides, microalgal proteins, DPP-4 inhibitors, ACE inhibitors, enzymatic hydrolysis, pepsin, bromelain, papain, peptide prediction, antioxidant peptides, nutraceuticals, pharmaceutical applications
- MeSH terms
- Amino Acid Sequence, Chlorella, Chromatography, Liquid, Electrophoresis, Polyacrylamide Gel, Peptides, Plant Proteins, Proteomics, Tandem Mass Spectrometry, Drug Discovery
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