Structure-based virtual screening: from classical to artificial intelligence EHB Maia, LC Assis, TA De Oliveira, AM Da Silva, AG Taranto Frontiers in chemistry 8, 343, 2020 | 308 | 2020 |
A fast learning algorithm for evolving neo-fuzzy neuron AM Silva, W Caminhas, A Lemos, F Gomide Applied Soft Computing 14, 194-209, 2014 | 103 | 2014 |
Brazilian malaria molecular targets (BraMMT): selected receptors for virtual high-throughput screening experiments RR Nunes, AL Fonseca, ACS Pinto, EHB Maia, AM Silva, FP Varotti, ... Memórias do Instituto Oswaldo Cruz 114, 2019 | 29 | 2019 |
Molecular architect: A user-friendly workflow for virtual screening EHB Maia, LR Medaglia, AM da Silva, AG Taranto ACS omega 5 (12), 6628-6640, 2020 | 27 | 2020 |
Evolving Neo-Fuzzy Neural Network with Adaptive Feature Selection AM Silva, WM Caminhas, AP Lemos, F Gomide 1st BRICS Countries Congress on Computational intelligence (BRICS-CCI), 341-349, 2013 | 26 | 2013 |
Octopus: a platform for the virtual high-throughput screening of a pool of compounds against a set of molecular targets EHB Maia, VA Campos, B dos Reis Santos, MS Costa, IG Lima, SJ Greco, ... Journal of molecular modeling 23, 1-11, 2017 | 22 | 2017 |
Docking-based virtual screening of Brazilian natural compounds using the OOMT as the pharmacological target database AP Carregal, FV Maciel, JB Carregal, B dos Reis Santos, AM da Silva, ... Journal of Molecular Modeling 23, 1-9, 2017 | 21 | 2017 |
Real-time nonlinear modeling of a twin rotor MIMO system using evolving neuro-fuzzy network A Silva, W Caminhas, A Lemos, F Gomide Computational Intelligence in Control and Automation (CICA), 2014 IEEE …, 2014 | 21 | 2014 |
Successful application of virtual screening and molecular dynamics simulations against antimalarial molecular targets RR Nunes, MS Costa, BR Santos, AL Fonseca, LS Ferreira, RCR Chagas, ... Memórias do Instituto Oswaldo Cruz 111, 721-730, 2016 | 18 | 2016 |
Structure-based virtual screening: from classical to artificial intelligence. Front Chem. 2020; 8: 343 EHB Maia, LC Assis, TA de Oliveira, AM da Silva, AG Taranto | 16 | 2020 |
Utilização de Redes Neurais Artificiais para Classificação de Spam AM Silva CEFET-MG (Mestrado), 2009 | 13 | 2009 |
Evolving neural fuzzy network with adaptive feature selection AM Silva, WM Caminhas, AP Lemos, F Gomide 2012 11th International Conference on Machine Learning and Applications 2 …, 2012 | 11 | 2012 |
MILKDE: A new approach for multiple instance learning based on positive instance selection and kernel density estimation AWC Faria, FGF Coelho, AM Silva, HP Rocha, GM Almeida, AP Lemos, ... Engineering Applications of Artificial Intelligence 59, 196-204, 2017 | 9 | 2017 |
Evaluation of docking machine learning and molecular dynamics methodologies for DNA-ligand systems TA de Oliveira, LR Medaglia, EHB Maia, LC Assis, PB de Carvalho, ... Pharmaceuticals 15 (2), 132, 2022 | 8 | 2022 |
Uso de Redes Neurais MLP em Sistema de Bloqueio de Websites Baseado em Conteúdo E Affonso, AM Silva, MP Silva, TMR Dias, GF Moita CILAMCE 2010 - XXXI Iberian-Latin American Congress on Computational Methods …, 2010 | 6* | 2010 |
Adaptive input selection and evolving neural fuzzy networks modeling AM Silva, W Caminhas, A Lemos, F Gomide International Journal of Computational Intelligence Systems 8 (sup1), 3-14, 2015 | 4 | 2015 |
Identification of potential human beta-secretase 1 inhibitors by hierarchical virtual screening and molecular dynamics MR do Bomfim, DB Barbosa, PB de Carvalho, AM da Silva, TA de Oliveira, ... Journal of Biomolecular Structure and Dynamics 41 (10), 4560-4574, 2023 | 3 | 2023 |
Virtual Screening Algorithms in Drug Discovery: A Review Focused on Machine and Deep Learning Methods TA Oliveira, MP Silva, EHB Maia, AM Silva, AG Taranto Drugs and Drug Candidates 2 (2), 311-334, 2023 | 3 | 2023 |
A simple and efficient incremental missing data imputation method for evolving neo-fuzzy network GAS Júnior, AM Silva Evolving Systems 13 (2), 201-220, 2022 | 3 | 2022 |
New fuzzy approaches to cryptocurrencies investment recommendation systems VL Amaral, ETF Affonso, AM Silva, GF Moita, PEM Almeida Fuzzy Techniques: Theory and Applications: Proceedings of the 2019 Joint …, 2019 | 3 | 2019 |