ReviewInternational journal of food science2026
High-Value Transformation of Rice-Derived Bioactive Peptides for Multiscenario Applications: From AI-Aided Design to Molecular Modification.
Review in International journal of food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- High-Value Transformation of Rice-Derived Bioactive Peptides for Multiscenario Applications: From AI-Aided Design to Molecular Modification.International journal of food science · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rice-derived bioactive peptides are gaining attention for their nutritional value, low allergenicity, and multifunctional health benefits. However, large-scale utilization remains constrained by challenges such as low protein extraction efficiency, limited peptide yields, and poor structural stability. This review summarizes recent advances in the valorization of rice proteins into functional peptides, with a focus on emerging technologies including enzymatic hydrolysis optimization, AI-assisted peptide design, and polyphenol-mediated molecular modification. These approaches offer solutions to improve thermal stability, reduce aggregation, and enhance bioactivity. The review further explores its multiscenario applications in AI-driven design and modification, cosmetics, biomedicine, and functional foods, where rice peptides demonstrate promising application potential in antioxidant defense, blood pressure regulation, collagen synthesis, and heavy metal adsorption. By integrating molecular design, processing innovation, and application development, this work provides a comprehensive perspective on the high-value transformation of rice by-products and supports the advancement of sustainable rice peptide technologies.
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What OpenQuestion holds
Registered trials
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.