Natural Occurrence and Biological Activities of Quinoline Derivatives
Bibliographic record
Abstract
This latest volume in the New Directions in Organic & Biological Chemistry series provides a comprehensive overview of quinoline derivatives, focusing on their chemical structure, biological activities, and therapeutic benefits. It delves into the natural sources of these derivatives, covering their isolation, characterization, and potential therapeutic applications, particularly in areas such as anti-cancer, anti-inflammatory, antimicrobial, and antimalarial activity. With its emphasis on providing valuable reference material, this book is an indispensable resource for researchers, educators, and professionals in the fields of chemistry, biology, pharmacology, and drug discovery. Dr Khadem is a chemist, holding B.Sc. and M.Sc. degrees from Ferdowsi University of Mashhad (Iran) and a Ph.D. from the University of Ottawa (Canada). With expertise gained from both academia and industry, he has gathered experience in diverse domains. Presently, he serves as a scientific evaluator and chemist at Health Canada, contributing to the field. His research focus spans organic synthesis, medicinal chemistry, and the exploration of natural products.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".