2-Trifluoromethylthiazole-5-carboxamides: Analogues of a Stilbene-Based Anti-HIV Agent that Impact HIV mRNA Processing
Bibliographic record
Abstract
The observation that stilbene 3 (5350150) blocks HIV replication through its impact on HIV mRNA processing prompted a program to develop non-cytotoxic analogues that maintain its mechanism of action. This initially involved replacement of the central double bond in 3 by an amide function and the quinoline motif by a 2-aminobenzothiazole subunit, as in 12jj (R′ = Cl), 12pp (R = NO 2 ), and 12vv (R = CF 3 ). On the basis of the possible CF 3 ↔ NO 2 bioisostere relationship in 12vv and 12pp, compound 23 was prepared and also found to be active. In the final step, the thiazole compounds 28 (GPS488) (EC 50 = 1.66 μM) and 29 (GPS491) (EC 50 = 0.47 μM) were prepared and evaluated. Similar activity and cell viability values (therapeutic index (TI = CC 50 /EC 50 ) values of 50–100) were observed in primary peripheral blood mononuclear cells. Furthermore, they remained active against a panel of HIV mutant strains displaying resistance to individual drugs used in antiretroviral therapy. It was determined that compound 29 suppressed expression of the HIV-1 structural protein Gag and altered HIV-1 RNA accumulation, decreasing the abundance of RNAs encoding the structural proteins while increasing levels of viral RNAs encoding the regulatory proteins, a pattern similar to that seen for compound 3 .
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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) | 0.002 | 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".