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Record W4415673584 · doi:10.1002/slct.202503482

Recent Developments in the Biological Consequences of Certain Chalcone Derivatives

2025· article· en· W4415673584 on OpenAlexaff
Rabeya Akter, Md. Monarul Islam, Md. Wahidul Islam, Taslima Akter, Md. Hasan Ali, Fajilatun Nesa, Shofiur Rahman, Abdullah N. Alodhayb, Paris E. Georghiou

Bibliographic record

VenueChemistrySelect · 2025
Typearticle
Languageen
FieldChemistry
TopicSynthesis and biological activity
Canadian institutionsMemorial University of Newfoundland
FundersBangladesh Council of Scientific and Industrial Research
KeywordsChalconeAntimicrobialBiological activityMetabolic stabilityBroad spectrumAntioxidant

Abstract

fetched live from OpenAlex

Abstract Chalcones include many naturally occurring and synthetic compounds which have attracted considerable scientific interest due to their diverse biological activities. Their basic structures are comprised of two aromatic rings connected by an α,β ‐unsaturated carbonyl system, which underpins some of their versatile pharmacological potential. Demonstrating robust antioxidant properties due to their phenolic groups, chalcones effectively scavenge free radicals, showing promise in combating oxidative stress‐related ailments. Additionally, their anti‐inflammatory effects modulate various pathways, highlighting their potential in treating inflammatory conditions. Chalcones also display antimicrobial activities against a range of pathogens and exhibit promising anticancer properties by impeding tumor proliferation and prompting apoptosis. Furthermore, their role as enzyme inhibitors extends to various targets, broadening their therapeutic potential. Despite these promising attributes, challenges related to limited bioavailability and metabolic stability necessitate ongoing research to optimize their efficacy. This review, which encompasses literature from 2010–2025, provides insights into biological applications and affords ideas for designing new chalcone‐based molecules.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.056
GPT teacher head0.289
Teacher spread0.234 · 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

Citations4
Published2025
Admission routes1
Has abstractyes

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