Marine proteins and peptides: Production, biological activities, and potential applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Marine protein hydrolysates and peptides have grown in popularity due to their biological activities and robust properties. They are increasingly studied in the functional food, pharmaceutical, and cosmeceutical sectors. This article discusses the current knowledge about preparing protein hydrolysates and peptides from seaweed, seafood, and seafood processing byproducts. Gaps in knowledge and technical expertise required for their industrial integration have been identified. The desire for natural substances to use as functional food has gained prevalence as consumers have become more aware of the adverse side effects of synthetic drugs. Aging-related chronic diseases, including cancer, arteriosclerosis, and diabetes, can be prevented by actively introducing food-based functional ingredients. Marine-derived proteins and peptides still face several hurdles to commercialization, such as scaling up production and maintaining a sustainable supply of raw materials. Further understanding of the physiological functionalities, action mechanisms, and clinical efficacy of these peptides and proteins would facilitate their use in biomedical applications and as functional ingredients in food and cosmetics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it