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Artificial Intelligence to Search for Drug Leads in Gigascale Chemical Spaces as a way to Fight Antimicrobial Resistance in Malaria

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Artificial Intelligence to Search for Drug Leads in Gigascale Chemical Spaces as a way to Fight Antimicrobial Resistance in Malaria Malaria, a global infectious disease, is facing a critical issue of drug efficacy loss due to the alarming rise of antimicrobial resistance (AMR). To combat this, a promising strategy is the discovery of cell-active drug leads hitting new targets, such as P. falciparum dihydroorotate dehydrogenase (PfDHODH). However, two main roadblocks prevent us from achieving this important goal: 1) many molecules with potent activity on a protein target are later found to be inactive in pathogen cultures for various reasons, 2) identifying novel drug leads with potent activity on both protein and phenotypic targets has traditionally been a lengthy and costly process. A timely opportunity leveraging the fast-growing volumes of bioactivity and protein structure data to gui

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award

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SIGNED

region

EU

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260347.92

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EUR