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Record W7117115613 · doi:10.1080/17425247.2025.2609682

Revolutionizing antiviral therapy: harnessing nanotechnology to unlock the power of phytoconstituents

2025· article· en· W7117115613 on OpenAlexaff
Zainab Choonia, D. Y. Patil, Trinette Fernandes, Shridhar Narayanan, Sujata Sawarkar, Abdelwahab Omri

Bibliographic record

VenueExpert Opinion on Drug Delivery · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCurcumin's Biomedical Applications
Canadian institutionsLaurentian University
Fundersnot available
KeywordsApplications of nanotechnologyStandardizationNanomedicineCLARITYDrug delivery

Abstract

fetched live from OpenAlex

INTRODUCTION: Viral diseases such as influenza, severe acute respiratory syndrome (SARS) caused due to coronaviruses (CoVs), Ebola, and acquired immunodeficiency syndrome (AIDS) caused due to human immunodeficiency virus (HIV) are still some of the major global causes of morbidity and mortality. Traditional antiviral therapies face limitations because of resistance development and toxicity. As a result, plant-derived medicines are gaining more attention for their therapeutic potential, owing to their lower toxicity and reduced likelihood of resistance development. AREAS COVERED: This review critically examines the antiviral properties of phytoconstituents like coumarins, steroids, and polysaccharides against various viruses. It discusses their integration with nanotechnology delivery systems to overcome bioavailability issues and highlights the need for translational studies to corroborate in vitro results. EXPERT OPINION: data, clinical research, standardization efforts, and regulatory clarity are needed. This review may serve as a foundational resource for researchers aiming to develop innovative antiviral therapies based on natural compounds and nanotechnology-based delivery systems.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.389

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 head0.013
GPT teacher head0.291
Teacher spread0.278 · 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 designBench or experimental
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

Citations1
Published2025
Admission routes1
Has abstractyes

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