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 | 34 | 2019 |
Designing drugs when there is low data availability: one-shot learning and other approaches to face the issues of a long-term concern GC Verissimo, MSM Serafim, T Kronenberger, RS Ferreira, KM Honorio, ... Expert Opinion on Drug Discovery 17 (9), 929-947, 2022 | 18 | 2022 |
The Brazilian compound library (BraCoLi) database: a repository of chemical and biological information for drug design GC Veríssimo, VS dos Santos Júnior, IAR de Almeida, MSAM Ruas, ... Molecular Diversity 26 (6), 3387-3397, 2022 | 10 | 2022 |
Evaluation of Toxicity and Oxidative Stress of 2‐Acetylpyridine‐N(4)‐orthochlorophenyl Thiosemicarbazone AB Lira, GL Parrilha, GT Dias, FS de Sousa Saraiva, GC Veríssimo, ... Oxidative Medicine and Cellular Longevity 2022 (1), 4101095, 2022 | 8 | 2022 |
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 | 6 | 2023 |
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 | 6 | 2022 |
Morita–Baylis–Hillman adducts derived from thymol: synthesis, in silico studies and biological activity against Giardia lamblia FJS Xavier, AB Lira, GC Verissimo, FS de S. Saraiva, AA de Oliveira Filho, ... Molecular Diversity, 1-14, 2022 | 6 | 2022 |
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 64 (7), 2565-2576, 2023 | 4 | 2023 |
Machine learning methods in drug design GC Veríssimo, J de Castro Gertrudes, VG Maltarollo Cheminformatics, QSAR and Machine Learning Applications for Novel Drug …, 2023 | 2 | 2023 |
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 | 2 | 2022 |
Integration of LBDD and SBDD Studies on Drug Design: A Fatty Acid Amide Hydrolase (FAAH) Case Study PAL Santana, MSM Ruas, GC Veríssimo, ACG Terra, RB Oliveira, ... Journal of the Brazilian Chemical Society 36 (2), e-20240117, 2024 | 1 | 2024 |
The Brazilian Compound Library (BraCoLi) database: a Brazilian repository of chemical and biological information for drug design GC Veríssimo, VS dos Santos Júnior, IAR de Almeida, MSAM Ruas, ... | 1 | 2021 |
Ultra‐Large Virtual Screening: Definition, Recent Advances, and Challenges in Drug Design G Corrêa Veríssimo, R Salgado Ferreira, V Gonçalves Maltarollo Molecular Informatics 44 (1), e202400305, 2025 | | 2025 |
Integração de algoritmos de aprendizado de máquina ao docking molecular para planejamento e realização de ensaios in vitro de inibidores da enzima enoil-ACP-redutase NAD (P) H … GC Veríssimo Universidade Federal de Minas Gerais, 2023 | | 2023 |