Algae-Derived Peptides as Functional Food Ingredients: Bioactivities, Processing Challenges, and Computational Design Strategies

Algae-derived proteins and peptides have gained increasing interest as sustainable bioresources with valuable nutritional and functional properties. This review aims to synthesize current knowledge on their characteristics and applications while highlighting the emerging role of computational tools in peptide research. Key findings show that algae provide diverse proteins and bioactive peptides with advantageous amino acid profiles and notable antioxidant, antihypertensive, antidiabetic, anti-inflammatory, and skin-protective activities. Their applications span food formulation, pharmaceuticals, and cosmetics, although large-scale utilization remains constrained by production, stability, and bioavailability challenges. Computational strategies, including virtual enzymatic hydrolysis, machine-learning prediction, QSAR modeling, molecular docking, molecular dynamics, and toxicity/allergenicity assessment, offer promising avenues for efficient peptide discovery, though their use in algae is still limited. Overall, this review underscores the potential of algae-derived proteins and peptides as multifunctional ingredients and emphasizes the need to integrate in silico pipelines with improved processing and delivery systems to accelerate future translational applications.

Authors

Institutions

Publication Details

Journal
Foods
Published
2026-02-26
DOI
https://doi.org/10.3390/foods15050811
Primary Topic
Protein Hydrolysis and Bioactive Peptides
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Algae-Derived Peptides as Functional Food Ingredients: Bioactivities, Processing Challenges, and Computational Design Strategies

Keying Su, Xuewu ZHANG, Qian Li, Juanjuan Ma et al.
Foods
Protein Hydrolysis and Bioactive Peptides
article

Algae-Derived Peptides as Functional Food Ingredients: Bioactivities, Processing Challenges, and Computational Design Strategies

Keying Su, Xuewu ZHANG, Qian Li, Juanjuan Ma, Laihoong Cheng
article en

Abstract

Algae-derived proteins and peptides have gained increasing interest as sustainable bioresources with valuable nutritional and functional properties. This review aims to synthesize current knowledge on their characteristics and applications while highlighting the emerging role of computational tools in peptide research. Key findings show that algae provide diverse proteins and bioactive peptides with advantageous amino acid profiles and notable antioxidant, antihypertensive, antidiabetic, anti-inflammatory, and skin-protective activities. Their applications span food formulation, pharmaceuticals, and cosmetics, although large-scale utilization remains constrained by production, stability, and bioavailability challenges. Computational strategies, including virtual enzymatic hydrolysis, machine-learning prediction, QSAR modeling, molecular docking, molecular dynamics, and toxicity/allergenicity assessment, offer promising avenues for efficient peptide discovery, though their use in algae is still limited. Overall, this review underscores the potential of algae-derived proteins and peptides as multifunctional ingredients and emphasizes the need to integrate in silico pipelines with improved processing and delivery systems to accelerate future translational applications.

FoodsVol. 15(5)
Universiti Sains Malaysia (MY), Guangzhou Vocational College of Science and Technology (CN), South China University of Technology (CN)
Department of Education of Guangdong Province
Openalex Percentile: Top 42%
Protein Hydrolysis and Bioactive Peptides
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.