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A systematic and prospectively validated approach for identifying synergistic drug combinations against malaria.
Yasaman KalantarMotamedi
,
Richard T Eastman
,
Rajarshi Guha
,
Andreas Bender
Oct 10, 2018
BACKGROUND: Nearly half of the world's population (3.2 billion people) were at risk of malaria in 2015, and resistance to current therapies is a major concern. While the standard of care includes drug combinations, there is a...
Compound combination modelling
Machine Learning
Malaria
Synergistic anti-malaria compound combinations
Synergy prediction
Transcriptional drug repositioning
Antimalarials
Drug Combinations
Drug Discovery
Drug Repositioning
Drug Synergism
Humans
Machine Learning
Malaria
Falciparum
Plasmodium falciparum
Protozoan Proteins
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