Chiral Natural Products With Anti‐<i>Plasmodium</i> Activity Identified from the East African Flora From 2000 to 2023
Bibliographic record
Abstract
Abstract For more than half a century, significant strides have been taken to reduce the incidence of malaria, but nearly half of the world‘s population is still at risk of malaria infection. Development of parasite resistance to antimalarial drugs remains a medical challenge that requires identification and development of novel drug‐like anti‐plasmodial leads that are active against drug resistant parasites. The benefits of chiral natural product (NPs) as anti‐ Plasmodium drugs can be traced back to Quinine. To date, the importance of stereogenic centers in drug discovery continues to influence clinical pharmacology of various clinical candidates. This review retrospectively examines chiral natural product anti‐ Plasmodium agents from the East African flora published between year 2000 and 2023. The intention is to identify promising leads that could be ideal starting points for development of the next generation of antimalarial drugs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".