Enhancement of the cytotoxic potential of the mixed EGFR and DNA-targeting ‘combi-molecule’ ZRBA1 against human solid tumour cells by a bis-quinazoline-based drug design approach
Bibliographic record
Abstract
ZRBA1 is a quinazoline-based molecule termed 'combi-molecule' designed to block the epidermal growth factor receptor (EGFR) and further degrade to FD105, an EGFR inhibitor plus a DNA-alkylating agent. To augment the potency of ZRBA1, we designed JDE52, a bistriazene that, following degradation, was 'programmed' to yield higher concentrations of the free inhibitor FD105 and a more cytotoxic bifunctional DNA-damaging species. The results indicated that JDE52 was capable of inducing significant blockade of EGFR phosphorylation, DNA strand breaks and interstrand cross-links in human cells. The fluorescent property of FD105, the secondary inhibitor that both JDE52 and ZRBA1 are capable of releasing, has permitted the analysis of its levels in tumour cells by ultraviolet flow cytometry. It was found that JDE52 was indeed capable of significantly releasing higher levels of fluorescence (P<0.05) in human tumour cells when compared with ZRBA1. Apoptosis was triggered by JDE52 at a faster rate than ZRBA1 and led to higher levels of cell killing. The results in toto suggest that the superior potency of JDE52, when compared with ZRBA1, may be imputed to mechanisms associated with the generation of higher intracellular concentrations of FD105 and to the induction of DNA cross-links. These combined mechanisms (blockade of EGFR-tyrosine kinase and induction of cross-links) contributed to an accelerated rate of apoptosis by JDE52. This study conclusively demonstrated that designing molecules as prodrugs of high levels of quinazoline inhibitors of EGFR and bifunctional DNA cross-linking species is a valid strategy to enhance the potency of mixed EGFR-DNA-targeting combi-molecules.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 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 teacher head, 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".