Molecular Analysis of the In Vivo Metabolism and Biodistribution of Metabolically and Non-Metabolically Activated Combi-Molecules of the Triazene Class
Bibliographic record
Abstract
Combi-molecules are novel agents designed to be hydrolyzed into two bioactive species: an epidermal growth factor receptor (EGFR) tyrosine kinase (TK) inhibitor + a DNA alkylating agent. With the purpose of enhancing the tumour concentration of the bioactive species, we synthesized and compared the activities of RB107, a quinazolinotriazene designed to generate the bioactive BJ2000 upon hydrolysis, ZRDM and RB107ZR that require metabolic activation to generate BJ2000. The results showed that RB107 released the highest level of BJ2000 and its degradation product FD105 in vivo and high levels of the DNA alkylating methyl diazonium ion in the brain, kidney, liver and the DU145 tumours as confirmed by (14)C-labeling. The results in toto suggest that RB107 was stable enough to deliver the bioactive species to the tumour site and for optimal tumour distribution of the bioactive species, combi-molecules of the triazene class must be designed to be primarily degraded by hydrolytic cleavage and not by metabolic activation.
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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) | 0.001 | 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".