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Philipe de Oliveira Fernandes
Philipe de Oliveira Fernandes
Outros nomesPhilipe Fernandes
MSc. in Pharmaceutical Sciences & BSc. in Chemistry
E-mail confirmado em ufmg.br
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Synthesis, molecular modeling studies and evaluation of antifungal activity of a novel series of thiazole derivatives
CI Lino, IG de Souza, BM Borelli, TTS Matos, INS Teixeira, JP Ramos, ...
European Journal of Medicinal Chemistry 151, 248-260, 2018
1202018
Recent advances in the prediction of pharmacokinetics properties in drug design studies: a review
SQ Pantaleão, PO Fernandes, JE Gonçalves, VG Maltarollo, KM Honorio
ChemMedChem 17 (1), e202100542, 2022
652022
HQSAR and random forest-based QSAR models for anti-T. vaginalis activities of nitroimidazoles derivatives
GC Verissimo, EFM Dutra, ALT Dias, P de Oliveira Fernandes, ...
Journal of Molecular Graphics and Modelling 90, 180-191, 2019
302019
Molecular insights on ABL kinase activation using tree-based machine learning models and molecular docking
PO Fernandes, DM Martins, A de Souza Bozzi, JPA Martins, ...
Molecular Diversity 25 (3), 1301-1314, 2021
132021
Non-structural protein 5 (NS5) as a target for antiviral development against established and emergent flaviviruses
PO Fernandes, MA Chagas, WR Rocha, AH Moraes
Current Opinion in Virology 50, 30-39, 2021
122021
Cyclometalated ruthenium complexes from naturally occurring quinones: studies on their photophysical features, computational details and trypanocidal activity
CM de Souza, RC Silva, PO Fernandes, JD de Souza Filho, HA Duarte, ...
New Journal of Chemistry 41 (10), 3723-3731, 2017
92017
Ligand‐ and Structure‐Based Approaches of Escherichia coli FabI Inhibition by Triclosan Derivatives: From Chemical Similarity to Protein Dynamics Influence
T Kronenberger, P de Oliveira Fernades, I Drumond Franco, A Poso, ...
ChemMedChem 14 (23), 1995-2004, 2019
82019
MASSA Algorithm: an automated rational sampling of training and test subsets for QSAR modeling
GC Veríssimo, SQ Pantaleão, PO Fernandes, JC Gertrudes, ...
Journal of Computer-Aided Molecular Design 37 (12), 735-754, 2023
42023
Quantitative structure-activity relationship and machine learning studies of 2-thiazolylhydrazone derivatives with anti-Cryptococcus neoformans activity
PO Fernandes, JPA Martins, EB de Melo, RB de Oliveira, T Kronenberger, ...
Journal of Biomolecular Structure and Dynamics 40 (20), 9789-9800, 2022
42022
Computer-aided molecular design, synthesis and evaluation of antifungal activity of heterocyclic compounds
NJC Oliveira, INS Teixeira, PO Fernandes, GC Veríssimo, AD Valério, ...
Journal of Molecular Structure 1267, 133573, 2022
42022
GCN-Based Structure-Activity Relationship and DFT Studies of Staphylococcus aureus FabI Inhibitors
GC Veríssimo, VS dos Santos Junior, PO Fernandes, S Ishida, R Kojima, ...
International Journal of Quantitative Structure-Property Relationships …, 2022
12022
Machine Learning-Based Virtual Screening of Antibacterial Agents against Methicillin-Susceptible and Resistant Staphylococcus aureus
PO Fernandes, ALT Dias, VS dos Santos Júnior, ...
Journal of Chemical Information and Modeling 64 (6), 1932-1944, 2024
2024
Andrographolide: A Diterpenoid from Cymbopogon schoenanthus Identified as a New Hit Compound against Trypanosoma cruzi Using Machine Learning and …
H Barbosa, GZ Espinoza, M Amaral, EV de Castro Levatti, MB Abiuzi, ...
Journal of Chemical Information and Modeling, 2023
2023
IN SILICO AND SPECTROSCOPIC INVESTIGATION OF THE INTERACTION BETWEEN ABL KINASE AND ANTILEUKEMIC INDOLES
P de Oliveira Fernandes, R Oliveira, AH Moraes, V Maltarollo
Galoá, 2022
2022
Structure-Activity Relationship Studies of Staphylococcus aureus DNA Gyrase B Inhibitors as Antibacterial Agents Employing Random Forest Models
PO Fernandes, VG Maltarollo
International Journal of Quantitative Structure-Property Relationships …, 2022
2022
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