Shared Binding Site but Divergent Resistance Profiles Uncover Novel Resistance Mechanisms in Plasmodium HSP90 Inhibitors
Fu-Hsuan KoiD, Amanda K. LukensiD, Mariana Laureano de SouzaiD, Alex Foy, Jason HsiaoiD, Tolla NdiayeiD, John OkomboiD, Tomas YeoiD, Heekuk ParkiD, Anne‐Catrin UhlemanniD, Nonlawat BoonyalaiiD, Krittikorn KümpornsiniD, Gareth GirlingiD, Charisse Flerida A. PasajeiD, Luiz Claudio GodoyiD, Priyan Kapoor, Gregory L. DurstiD, Sabine OttilieiD, Arnab K. ChatterjeeiD, Jacquin C. NilesiD, Marcus Lee, David A. FidockiD, Dyann F. WirthiD, Elizabeth A. WinzeleriD
Abstract
Drug resistance is a widespread problem across therapeutic areas including malaria, but what accounts for resistance propensity remains poorly understood. Here, we reveal that two HSP90 inhibitors targeting the identical ATP-binding site exhibit dramatically different resistance profiles in P. falciparum. Geldanamycin readily selected 10 distinct resistance mutations conferring up to 22-fold resistance, while AUY-922 required 44 weeks to yield a single A41S mutation with only 2-fold resistance to AUY-922 but not to geldanamycin. Resistance mapping in parasites and yeast revealed geldanamycin resistance mutations distributed throughout the binding pocket whereas AUY-922 resistance mutations localized close to the ATP-binding site. Unexpectedly, the A41S mutation enhanced AUY-922 binding affinity without changing geldanamycin binding. In silico analysis suggested this enhancement occurs through additional hydrogen bonding, yet stronger binding correlated with resistance. In yeast, A41S had opposite effects, hypersensitizing cells to all HSP90 inhibitors tested. Additionally, conditional HSP90 knockdown increased geldanamycin sensitivity but left AUY-922 activity unaffected, indicating different target dependencies despite shared binding sites. Based on these data, we propose a multi-target hypothesis where AUY-922s lower resistance risk stems from engaging multiple HSP90 family members. Our findings reveal how enhanced drug-target binding can paradoxically correlate with resistance and demonstrate that resistance risk cannot be predicted from binding site identity alone, providing insights for developing more durable drugs across therapeutic areas.
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