Sínteses e propriedades de fármacos inibidores da tirosina quinase BCR-ABL, utilizados no tratamento da Leucemia Mieloide Crônica
Bibliographic record
Abstract
CHRONIC MYELOID LEUKEMIA.The chronic myeloid leukemia (CML) is characterized by presence of the Philadelphia chromosome (Ph), originated from the translocation between chromosomes 9 and 22.This chromosome generates an abnormal protein tyrosine kinase which is responsible for tumor cell proliferation.The emergence of tyrosine kinase inhibitors (TKIs) has transformed the treatment of CML and imatinib being the first representative of this class.Although treatment with imatinib has reached surprising results, approximately 30% of patients exhibited resistance, especially in later stages of the disease.This fact stimulated the development of novel BCR-ABL enzyme inhibitors drugs classified as tyrosine kinase inhibitors (TKIs) of second and third generations.The TKIs have different chemical functions in their structure, and the knowledge of synthetic methods for preparation of these compounds can be a powerful tool for the development of new derivatives.The five approved BCR-ABL Tyrosine Kinase inhibitors (TKI) used in Chronic Myeloid Leukemia (CML) are reviewed aiming the main synthetic routes, highlighting the advantages and disadvantages associated with them.Keywords: chronic myeloid leukemia
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".