Identification of Novel Indazole-based Inhibitors of Fibroblast GrowthFactor Receptor 1 (FGFR1)
Bibliographic record
Abstract
Background: Overactivity of fibroblast growth factor receptor 1 (FGFR1) is associated with various tumors, particularly breast cancer, prostate cancer, non-small-cell lung carcinoma, myeloproliferative diseases, which makes this protein kinase a promising therapeutic target for anticancer therapy. Objective: The main aim of this study is to identify novel FGFR1 inhibitors. Method: In order to find FGFR1 inhibitors, virtual screening experiments were performed using AutoDock software. Best-scored compounds were tested in vitro using P32 radioactive kinase assay. Results: Small-molecular inhibitors of protein kinase FGFR1 were identified among indazole derivatives. The most active compound [3-(3,4-dichloro-phenyl)-1H-indazol-5-yl]-(2,3-dihydro-1Hcyclopenta[ b]quinolin-9-yl)-amine (1) inhibits FGFR1 with IC50 value of 100 nM. According to molecular docking results, this compound interacts simultaneously with adenine- and phosphate-binding regions of protein kinase FGFR1. The structure-activity relationships have been investigated and binding mode has been predicted. Conclusion: Compound 1 can be used for further structural optimization and biological research.
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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 | 0.000 | 0.000 |
| Open science | 0.001 | 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".