Cargando…
Machine Learning Approaches Identify Chemical Features for Stage-Specific Antimalarial Compounds
[Image: see text] Efficacy data from diverse chemical libraries, screened against the various stages of the malaria parasite Plasmodium falciparum, including asexual blood stage (ABS) parasites and transmissible gametocytes, serve as a valuable reservoir of information on the chemical space of compo...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2023
|
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666252/ https://www.ncbi.nlm.nih.gov/pubmed/38027377 http://dx.doi.org/10.1021/acsomega.3c05664 |