Innovative Multistage ML-QSAR Models for Malaria

Funding Information: The Article Processing Charge for the publication of this research was funded by the Coordination for the Improvement of Higher Education Personnel - CAPES (ROR identifier: 00x0ma614). The authors would like to thank the funding agencies CNPq (441038/2020-4), CAPES-STINT (88881.304811/2018-01), FAPEG (202010267000272), FAPESP (Grants 2017/18611-7, 2021/06769-0, and 2021/06769-0), Instituto Serrapilheira (grant G-1709-16618), the Swedish Research Council (grants 2016-05627 and 2021-03667). J.V.B.B., L.T.F., L.C.S.A., M.L.M., J.C. received FAPESP fellowships (grants 2019/21854-4, 2019/02171-3, 2021/13809-9, 2023/07805-6, 2020/11060-8, 2018/24878-9). L.C.S.A. also received CNPq fellowship (Grants 162117/2018-3). M.P. acknowledges funding from the \\u201Cla Caixa Foundation, grant HR21-848, and the European Union Horizon Europe programme (grant 101080744). CHA thanks the \\u201CL\\u2019Ore\\u0301al-UNESCO-ABC Para Mulheres na Cie\\u0301ncia\\u201D and \\u201CL\\u2019Ore\\u0301al-UNESCO International Rising Talents\\u201D for the awards and fellowships received, which partially funded this work. C.H.A. and F.T.M.C. are CNPq research fellows. Publisher Copyright: © 2024 The Authors. Published by American Chemical Society.