1,1′-Disubstituted Ferrocenyl Carbohydrate Chloroquine Conjugates as Potential Antimalarials
Bibliographic record
Abstract
This work presents a new class of organometallic antimalarials, based on a ferrocene scaffold, bearing a chloroquine derivative and a 1,2;3,5-(diisopropylidene)-α- d -glucofuranose moiety in a 1,1′-heteroannular substitution pattern. Synthesis proceeds via orthogonal functionalization of ferrocene, giving 1-acetoxy-1′-(1,3-dioxan-2-yl)ferrocene ( 15 ) as the precursor for modular introduction of the carbohydrate ( 16, 17 ) followed by subsequent reductive amination with chloroquine building blocks 8 – 10, yielding the 1-[3-(7-chloroquinolin-4-ylamino)alkylamino]-1′-[6-(1,2;3,5-diisopropylidene)-α- d -glucofuranosidyl]ferrocenes 18 – 20 . After complete characterization of these new, trifunctional conjugates, they were examined for their antiplasmodial activity in a chloroquine-susceptible strain of Plasmodium falciparum (D10) and in two chloroquine-resistant strains (Dd2 and K1). Their activity was compared to that of the monosubstituted reference conjugates 1 – 3 and the 1,2-disubstituted regioisomers 4 – 6 . Compounds 19 and 20 exhibited consistently high activity in in vitro antiplasmodial activity assays performed in Dd2 and K1 strains, performing better than the reference compounds chloroquine and the monosubstituted and 1,2-disubstituted compounds 1 – 6 .
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".