Therapeutic significance of quinolines: a patent review (2013-2015)
Bibliographic record
Abstract
INTRODUCTION: Quinoline is a versatile bicyclic heterocyclic scaffold with immense therapeutic potential. Some of the compounds containing quinoline nucleus are agents of choice for the treatment of various ailments, particularly cancer and malaria. Furthermore, several quinoline derivatives exhibit a broad spectrum of antimicrobial, anti-inflammatory, and antidiabetic activities, quite a few of which are under clinical investigation to combat potentially lethal diseases/disorders. AREAS COVERED: The present review summarizes inventions developed towards finding new chemotherapeutic agents based on the quinoline skeleton. It presents an outline of patents filed between 2013 and 2015, relating to the anticancer, antimicrobial, anti-inflammatory and other biological activities exhibited by quinoline derivatives. EXPERT OPINION: Several molecules containing quinoline skeleton are clinically significant drugs, extensively used for the treatment of various human diseases/disorders. The clinical success of some of these compounds and the versatile character of the quinoline nucleus attracted medicinal chemists in the development of newer chemotherapeutic agents. The considerably high number of patents filed in a relatively short period of time indicates the increasing importance of this pharmacophore. The development of facile synthetic strategies is anticipated to facilitate the generation of chemical libraries that could serve as a source of new chemical entities.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".