Bruno Grisci
Title
Cited by
Cited by
Year
APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction
B Borguesan, MB e Silva, B Grisci, M Inostroza-Ponta, M Dorn
Computational biology and chemistry 59, 142-157, 2015
332015
Aromatic rings commonly used in medicinal chemistry: Force fields comparison and interactions with water toward the design of new chemical entities
MD Polêto, VH Rusu, BI Grisci, M Dorn, RD Lins, H Verli
Frontiers in pharmacology 9, 395, 2018
92018
Development of GROMOS-compatible parameter set for simulations of chalcones and flavonoids
PR Arantes, MD Polêto, EBO John, C Pedebos, BI Grisci, M Dorn, ...
The Journal of Physical Chemistry B 123 (5), 994-1008, 2019
52019
Neuroevolution as a tool for microarray gene expression pattern identification in cancer research
BI Grisci, BC Feltes, M Dorn
Journal of biomedical informatics 89, 122-133, 2019
42019
Perspectives and applications of machine learning for evolutionary developmental biology
BC Feltes, BI Grisci, J de Faria Poloni, M Dorn
Molecular Omics 14 (5), 289-306, 2018
42018
NEAT-FLEX: Predicting the conformational flexibility of amino acids using neuroevolution of augmenting topologies
B Grisci, M Dorn
Journal of Bioinformatics and Computational Biology 15 (03), 1750009, 2017
32017
Predicting protein structural features with neuroevolution of augmenting topologies
B Grisci, M Dorn
2016 International Joint Conference on Neural Networks (IJCNN), 873-880, 2016
22016
Microarray Classification and Gene Selection with FS-NEAT
BI Grisci, BC Feltes, M Dorn
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
12018
ConfID: an analytical method for conformational characterization of small molecules using molecular dynamics trajectories
MD Polêto, BI Grisci, M Dorn, H Verli
Bioinformatics 36 (11), 3576-3577, 2020
2020
Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras
JS Bohrer, BI Grisci, M Dorn
arXiv preprint arXiv:2002.04634, 2020
2020
CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research
BC Feltes, EB Chandelier, BI Grisci, M Dorn
Journal of Computational Biology 26 (4), 376-386, 2019
2019
Predição da flexibilidade de aminoácidos utilizando NeuroEvolução de Topologias Crescentes
BI Grisci
2016
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Articles 1–12