Márcio Dorn
Citado por
Citado por
Three-dimensional protein structure prediction: Methods and computational strategies
M Dorn, MB e Silva, LS Buriol, LC Lamb
Computational biology and chemistry 53, 251-276, 2014
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
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
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
Hemogram data as a tool for decision-making in COVID-19 management: applications to resource scarcity scenarios
E Avila, A Kahmann, C Alho, M Dorn
PeerJ 8, e9482, 2020
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
A GMDH polynomial neural network-based method to predict approximate three-dimensional structures of polypeptides
M Dorn, ALS Braga, CH Llanos, LS Coelho
Expert Systems with Applications 39 (15), 12268-12279, 2012
A memetic algorithm for 3D protein structure prediction problem
L Correa, B Borguesan, C Farfán, M Inostroza-Ponta, M Dorn
IEEE/ACM transactions on computational biology and bioinformatics 15 (3 …, 2016
A memetic algorithm based on an NSGA-II scheme for phylogenetic tree inference
M Villalobos-Cid, M Dorn, R Ligabue-Braun, M Inostroza-Ponta
IEEE transactions on evolutionary computation 23 (5), 776-787, 2018
The tale of a versatile enzyme: Alpha-amylase evolution, structure, and potential biotechnological applications for the bioremediation of n-alkanes
ÉSM Pinto, M Dorn, BC Feltes
Chemosphere 250, 126202, 2020
Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data
BI Grisci, MJ Krause, M Dorn
Information sciences 559, 111-129, 2021
Nias-server: Neighbors influence of amino acids and secondary structures in proteins
B Borguesan, M Inostroza-Ponta, M Dorn
Journal of Computational Biology 24 (3), 255-265, 2017
A hybrid genetic algorithm for the 3-d protein structure prediction problem using a path-relinking strategy
M Dorn, LS Buriol, LC Lamb
2011 IEEE Congress of Evolutionary Computation (CEC), 2709-2716, 2011
Multi-approach bioinformatics analysis of curated omics data provides a gene expression panorama for multiple cancer types
BC Feltes, JF Poloni, IJG Nunes, SS Faria, M Dorn
Frontiers in genetics 11, 586602, 2020
A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies
J Parraga-Alava, M Dorn, M Inostroza-Ponta
BioData mining 11, 1-22, 2018
Three-dimensional protein structure prediction based on memetic algorithms
L de Lima Corrêa, B Borguesan, MJ Krause, M Dorn
Computers & Operations Research 91, 160-177, 2018
CReF: A central-residue-fragment-based method for predicting approximate 3-D polypeptides structures
M Dorn, ON de Souza
Proceedings of the 2008 ACM symposium on Applied computing, 1261-1267, 2008
Conformational changes in 2-trans-enoyl-ACP (CoA) reductase (InhA) from M. tuberculosis induced by an inorganic complex: a molecular dynamics simulation study
ALP da Costa, I Pauli, M Dorn, EK Schroeder, CG Zhan, ...
Journal of molecular modeling 18, 1779-1790, 2012
A hybrid method for the protein structure prediction problem
M Dorn, A Breda, O Norberto de Souza
Advances in Bioinformatics and Computational Biology: Third Brazilian …, 2008
Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets
M Dorn, BI Grisci, PH Narloch, BC Feltes, E Avila, A Kahmann, CS Alho
PeerJ Computer Science 7, e670, 2021
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