Revisiting the Plasmodium falciparum druggable genome using predicted structures and data mining

Mar 04, 2025

Karla P. Godinez-Macias, Daisy Chen, J. Lincoln Wallis, Miles G. Siegel, Anna Adam, Selina Bopp, Krypton Carolino, Lauren B. Coulson, Greg Durst, Vandana Thathy, Lisl Esherick, Madeline A. Farringer, Erika L. Flannery, Barbara Forte, Tiqing Liu, Luma Godoy Magalhaes, Anil K. Gupta, Eva S. Istvan, Tiantian Jiang, Krittikorn Kumpornsin, Karen Lobb, Kyle J. McLean, Igor M. R. Moura, John Okombo, N. Connor Payne, Andrew Plater, Srinivasa P. S. Rao, Jair L. Siqueira-Neto, Bente A. Somsen, Robert L. Summers, Rumin Zhang, Michael K. Gilson, Francisco-Javier Gamo, Brice Campo, Beatriz Baragaña, James Duffy, Ian H. Gilbert, Amanda K. Lukens, Koen J. Dechering, Jacquin C. Niles, Case W. McNamara, Xiu Cheng, Lyn-Marie Birkholtz, Alfred W. Bronkhorst, David A. Fidock, Dyann F. Wirth, Daniel E. Goldberg, Marcus C. S. Lee & Elizabeth A. Winzeler. Revisiting the Plasmodium falciparum druggable genome using predicted structures and data mining. npj Drug Discov. 2, 3 (2025). https://doi.org/10.1038/s44386-025-00006-5. Published: 04 March 2025