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Multitask Learning Approach to Predict Hepatotoxicity Phenotypes of Chemicals in Clinical Assays
Vol 2, 2022 -153248 -
Inductive Transfer of Knowledge: Development of Predictive Multitask Learning Models to Find New Hit Compounds Against Trypanosomatids
Vol 2, 2022 -153176 -
Cheminformatics-driven identification of new antiplasmodial hits effective against asexual and sexual stages
Vol 2, 2022 -153244
Publications in other proceedings
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43ª RASBQ
BeeToxAI: Um Portal Online Baseado em Inteligência Artificial para Predizer a Toxicidade Aguda de Produtos Químicos em Abelhas Melíferas
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BrazMedChem 2019
Machine Learning models for prioritizing the synthesis of xanthone derivatives as promising antibacterial agents against methicillin-resistant Staphylococcus aureus
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BrazMedChem 2019
Virtual screening and experimental validation of inhibitors of Plasmodium spp. casein kinases, CK1 and CK2α, as potential antimalarial candidates
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BrazMedChem 2019
Machine Learning models for virtual screening of new schistosomicidal compounds
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BrazMedChem 2019
Computationally guided drug repositioning: QSAR-based Virtual Screening of Macrolides for Schistosomiasis
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