Rational Design of Multitargeted Tyrosine Kinase Inhibitors: A Novel Approach
Bibliographic record
Abstract
The non-receptor Src tyrosine kinase is known to cooperate with the epidermal growth factor receptor in a mechanism leading to invasion and metastasis of solid tumours. With the purpose of developing agents targeted to both epidermal growth factor receptor and Src or related kinases, we embarked on the design of chimeric molecules termed combi-molecules capable of blocking both Src and epidermal growth factor receptor. To this end, we have chosen to design molecules containing a quinazoline moiety (directed at epidermal growth factor receptor) and a 7-phenyl-pyrazolopyrimidine (directed at Src). Molecular modelling showed that the optimal position to attach the linker was the 6-position of the quinazoline and the 9-position of the pyrazolopyrimidine. This has led to the synthesis of SB162, SB166 and SB163. SB163 containing the longest linker was the only molecule capable of inducing a dose-dependent inhibition of both Src and epidermal growth factor receptor. SB163 also induced a dose inhibition of Abl and PDGFR.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".