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Vinicius G. Maltarollo
Vinicius G. Maltarollo
Departamento de Produtos Farmacêuticos, Faculdade de Farmácia, UFMG
Email verificata su ufmg.br - Home page
Titolo
Citata da
Citata da
Anno
Use of machine learning approaches for novel drug discovery
AN Lima, EA Philot, GHG Trossini, LPB Scott, VG Maltarollo, KM Honorio
Expert opinion on drug discovery 11 (3), 225-239, 2016
2632016
Machine learning techniques and drug design
JC Gertrudes, VG Maltarollo, RA Silva, PR Oliveira, KM Honorio, ...
Current medicinal chemistry 19 (25), 4289-4297, 2012
2082012
Applying machine learning techniques for ADME-Tox prediction: a review
VG Maltarollo, JC Gertrudes, PR Oliveira, KM Honorio
Expert opinion on drug metabolism & toxicology 11 (2), 259-271, 2015
1732015
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
1412018
Applications of artificial neural networks in chemical problems
VG Maltarollo, KM Honório, ABF da Silva
Artificial neural networks-architectures and applications, 203-223, 2013
1372013
Transfer and multi-task learning in QSAR modeling: advances and challenges
RS Simoes, VG Maltarollo, PR Oliveira, KM Honorio
Frontiers in pharmacology 9, 74, 2018
1062018
Advances and perspectives in applying deep learning for drug design and discovery
CF Lipinski, VG Maltarollo, PR Oliveira, ABF Da Silva, KM Honorio
Frontiers in Robotics and AI 6, 108, 2019
1052019
Advances with support vector machines for novel drug discovery
VG Maltarollo, T Kronenberger, GZ Espinoza, PR Oliveira, KM Honorio
Expert opinion on drug discovery 14 (1), 23-33, 2019
972019
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
942022
Do drug‐likeness rules apply to oral prodrugs?
ÍF Protti, DR Rodrigues, SK Fonseca, RJ Alves, RB de Oliveira, ...
ChemMedChem 16 (9), 1446-1456, 2021
602021
ADME profiling in drug discovery and a new path paved on silica
A Krüger, V Gonçalves Maltarollo, C Wrenger, T Kronenberger
Drug discovery and development-new advances, 1-30, 2019
472019
Black tea kombucha: Physicochemical, microbiological and comprehensive phenolic profile changes during fermentation, and antimalarial activity
MC de Noronha, RR Cardoso, CT dos Santos D'Almeida, MAV do Carmo, ...
Food Chemistry 384, 132515, 2022
452022
The application of machine learning techniques to innovative antibacterial discovery and development
MSM Serafim, T Kronenberger, PR Oliveira, A Poso, KM Honorio, ...
Expert Opinion on Drug Discovery 15 (10), 1165-1180, 2020
422020
Isolation and Biochemical Characterization of a New Thrombin‐Like Serine Protease from Bothrops pirajai Snake Venom
KD Zaqueo, AM Kayano, R Simões-Silva, LS Moreira-Dill, ...
BioMed research international 2014 (1), 595186, 2014
392014
Theoretical study of tautomers and photoisomers of avobenzone by DFT methods
GHG Trossini, VG Maltarollo, RDA Garcia, CASO Pinto, MVR Velasco, ...
Journal of molecular modeling 21, 1-7, 2015
342015
Structure-based virtual screening and discovery of new PPARδ/γ dual agonist and PPARδ and γ agonists
VG Maltarollo, M Togashi, AS Nascimento, KM Honorio
PloS one 10 (3), e0118790, 2015
342015
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
332019
Benchmark studies of UV–vis spectra simulation for cinnamates with UV filter profile
RDA Garcia, VG Maltarollo, KM Honório, GHG Trossini
Journal of Molecular Modeling 21, 1-13, 2015
282015
BbMP-1, a new metalloproteinase isolated from Bothrops brazili snake venom with in vitro antiplasmodial properties
AM Kayano, R Simoes-Silva, PSM Medeiros, VG Maltarollo, KM Honorio, ...
Toxicon 106, 30-41, 2015
272015
Preclinical toxicity of innovative molecules: In vitro, in vivo and metabolism prediction
DR Tonholo, VG Maltarollo, T Kronenberger, IR Silva, PO Azevedo, ...
Chemico-Biological Interactions 315, 108896, 2020
252020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20