MétaCan
Menu
Back to cohort
Record W3169035839 · doi:10.3390/app11125532

Phytoglycoproteins and Human Health: Current Knowledge and Future Applications

2021· article· en· W3169035839 on OpenAlexafffund
Innocent Uzochukwu Okagu, Ikenna C. Ohanenye, Timothy Prince Chidike Ezeorba, Chibuike C. Udenigwe

Bibliographic record

VenueApplied Sciences · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTransgenic Plants and Applications
Canadian institutionsUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsNutraceuticalGlycosylationHealth benefitsHuman healthChemistryBiologyBiochemistryBiotechnologyComputational biologyPharmacologyMedicineTraditional medicineEnvironmental health

Abstract

fetched live from OpenAlex

Over the years, humans have relied on plants as sources of nutrients and bioactive compounds that promote health and wellness. Interestingly, drug discovery has benefitted immensely from the use of bioactive phytochemicals derived from food and medicinal plants. Phytoglycoproteins (PGPs) are plant-derived proteins with sugar moieties covalently linked to amino acid side chains, formed by glycosylation during posttranslational modification of polypeptides. Several studies in the last two decades, including cell culture and animal studies, have documented a variety of health-beneficial effects of PGPs, including hypolipidemic, wound healing, antioxidant, anti-inflammatory, immunomodulatory, and anticancer properties. Despite the prospects, there is a dearth of information on the pharmacokinetics and toxicity of PGPs, including possible induction of immune reactions, and the potential effects of stereospecific variation in PGPs isomers on their physiological functions. Further exploration of the multifunctional glycoproteins will position them as strong candidates for the development of nutraceuticals and functional foods.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.965
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.318
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueApplied SciencesSame topicTransgenic Plants and ApplicationsFrench-language works237,207