Morales, Juan Francisco

Datos académicos

PRODUCCION CIENTÍFICO TECNOLÓGICA

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Artículo Application of machine learning to predict unbound drug bioavailability in the brain

Morales, Juan Francisco ; Ruiz, María Esperanza ; Stratford, Robert E.; Talevi, Alan (Frontiers Media, 2024-04)
Artículo Cascade ligand- and structure-based virtual screening to identify new trypanocidal compounds inhibiting putrescine uptake

Alberca, Lucas Nicolás ; Sbaraglini, Maria Laura ; Morales, Juan Francisco ; Dietrich, Roque Carlos ; Ruiz, María Daniela ; Pino Martínez, Agustina María ; Miranda, Cristian Gabriel ; Fraccaroli, Laura Virginia ; Alba Soto, Catalina Dirney ; Carrillo, Carolina ; Palestro, Pablo Hernán ; Talevi, Alan (Frontiers Media SA, 2018-05)
Artículo Current state and future perspectives in QSAR models to predict blood-brain barrier penetration in central nervous system drug R&D

Morales, Juan Francisco ; Scioli Montoto, Sebastián; Fagiolino, Pietro; Ruiz, María Esperanza (Bentham Science Publishers, 2017-02)
Artículo Development and Validation of a Computational Model Ensemble for the Early Detection of BCRP/ABCG2 Substrates during the Drug Design Stage

Gantner, Melisa Edith ; Peroni, Roxana Noemi ; Morales, Juan Francisco ; Villalba, Maria Luisa ; Ruiz, María Esperanza ; Talevi, Alan (American Chemical Society, 2017-08)
Artículo Hybrid inhalable microparticles for dual controlled release of levofloxacin and DNase: Physicochemical characterization and in vivo targeted delivery to the lungs

Islan, German Abel ; Ruiz, María Esperanza ; Morales, Juan Francisco ; Sbaraglini, Maria Laura ; Enrique, Andrea Verónica ; Burton, Gerardo ; Talevi, Alan ; Bruno Blanch, Luis Enrique; Castro, Guillermo Raul (Royal Society of Chemistry, 2016-03)
Artículo Machine Learning in Drug Discovery and Development Part 1: A Primer

Talevi, Alan ; Morales, Juan Francisco ; Hather, Gregory; Podichetty, Jagdeep T.; Kim, Sarah; Bloomingdale, Peter C.; Kim, Samuel; Burton, Jackson; Brown, Joshua D.; Winterstein, Almut G.; Schmidt, Stephan; White, Jensen Kael; Conrado, Daniela J. (American Society for Clinical Pharmacology and Therapeutics, 2020-03)
Artículo Positive predictive value surfaces as a complementary tool to assess the performance of virtual screening methods

Morales, Juan Francisco ; Chuguransky, Sara Rocío ; Alberca, Lucas Nicolás ; Alice, Juan Ignacio ; Goicoechea, Sofia ; Ruiz, María Esperanza ; Bellera, Carolina Leticia ; Talevi, Alan (Bentham Science Publishers, 2020-05)

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