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An in vitro toolbox to accelerate anti-malarial drug discovery and development.

Susan A CharmanAlice AndreuHelena BarkerScott BlundellAnna CampbellMichael CampbellGong ChenFrancis C K ChiuElly CrightonKasiram KatneniJulia MorizziRahul PatilThao PhamEileen RyanJessica SaundersDavid M ShacklefordKaren L WhiteLisa AlmondMaurice DickinsDennis A SmithJoerg J MoehrleJeremy N BurrowsNada Abla
Published in: Malaria journal (2020)
This is the first data set to describe in vitro properties for 45 legacy and development anti-malarial drugs. The studies identified several practical methodological issues common to many of the more lipophilic compounds and highlighted areas which require more work to customize experimental conditions for compounds being designed to meet the new target product profiles. The dataset will be a valuable tool for malaria researchers aiming to develop PBPK models for the prediction of human PK properties and/or drug-drug interactions. Furthermore, generation of this comprehensive data set within a single laboratory allows direct comparison of properties across a large dataset and evaluation of changing property trends that have occurred over time with changing target product and candidate profiles.
Keyphrases
  • drug discovery
  • plasmodium falciparum
  • electronic health record
  • endothelial cells
  • big data
  • emergency department
  • drug induced
  • artificial intelligence
  • case control