MétaCan
Menu
Back to cohort
Record W6902101043 · doi:10.6084/m9.figshare.19642799

Synthesis of novel naphthalene-chimonanthine scaffolds hybrids with potent antibacterial or antifungal activity

2022· article· en· W6902101043 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFigshare · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSynthesis and bioactivity of alkaloids
Canadian institutionsYork University
Fundersnot available
KeywordsAntifungalAntibacterial activityEscherichia coliShigellaBiological activityBroad spectrumAntimicrobialAntibacterial agent

Abstract

fetched live from OpenAlex

In this work, a total of 19 novel naphthalene hybrids with chimonanthine scaffolds were efficiently synthesised from indole-3-acetonitrile in good yields. The prepared compounds were evaluated for biological activity against <i>Cryptococcus neoformans, Escherichia coli, Shigella spp, Candida albicans, Salmonella spp,</i> and <i>Staphylococcus aureus</i>. The preliminary bioassays showed that most of the synthesised compounds exhibited significant antibacterial or antifungal activity. Notably, compound <b>8</b> showed potent activity against <i>Cryptococcus neofonmans</i>, <i>Escherichia coli</i>, <i>Shigella spp</i>, and <i>Candida albicans</i> than the positive control, all with the same MIC value of 3.53 µM. Compound <b>8</b> had a broad spectrum of antibacterial or antifungal activity, and will be studied further.

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 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 categoriesInsufficient payload (model declined to judge)
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 score0.112
Threshold uncertainty score0.983

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)0.0180.000

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 head0.026
GPT teacher head0.242
Teacher spread0.217 · 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