Márcio Dorn

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Mario Inostroza PontaAssociate Professor, Universidad de Santiago de ChileVerified email at usach.cl
Bruno GrisciPhD Student in Computing, Universidade Federal do Rio Grande do SulVerified email at inf.ufrgs.br
Bruno BorguesanPhD Student, Institute of Informatics, Federal University of Rio Grande do Sul - UFRGSVerified email at inf.ufrgs.br
Leonardo de Lima CorrêaPhD student in Computer Science, Federal University of Rio Grande do SulVerified email at inf.ufrgs.br
Hugo VerliProfessor de Bioinformática, Centro de Biotecnologia, Universidade Federal do Rio Grande do SulVerified email at cbiot.ufrgs.br
Mariel Barbachan e SilvaBioinformatics PhD Candidate - School of Mathematics, Statistics & Applied Mathematics, NUI GalwayVerified email at nuigalway.ie
Bruno César FeltesFederal University of Rio Grande do SulVerified email at inf.ufrgs.br
Mathias J KrauseKIT, OpenLBVerified email at kit.edu
Rodrigo Ligabue-BraunAssociate Professor, Dept Pharmaceutical Sciences, UFCSPAVerified email at ufcspa.edu.br
Pedro Henrique NarlochFederal University of Rio Grande do SulVerified email at inf.ufrgs.br
Manuel Villalobos-CidDepartamento de Ingeniería Informática, Universidad de Santiago de ChileVerified email at usach.cl
Marcelo Depólo PolêtoPostdoctoral Associate, Virginia TechVerified email at vt.edu
Carlos Humberto LlanosEng. Mecânica, Universidade de BrasíliaVerified email at unb.br
Pablo Felipe LeonhartMestrando em Computação, Universidade Federal do Rio Grande do Sul (UFRGS)Verified email at inf.ufrgs.br
Jorge Parraga-AlavaUniversidad Técnica de ManabíVerified email at usach.cl
Gudrun ThaeterAkademische Oberrätin, Fakultät für Mathematik, KITVerified email at kit.edu
Ivani PauliPhD student, University of São Paulo, USPVerified email at usp.br
Ardala Katzfuss (née Breda)Texas A&M UniversityVerified email at tamu.edu
Chang-Guo ZhanProfessor of Pharmaceutical Sciences, University of KentuckyVerified email at uky.edu
Roberto LinsOswaldo Cruz FoundationVerified email at cpqam.fiocruz.br

Márcio Dorn

Federal University of Rio Grande do Sul

Verified email at inf.ufrgs.br - Homepage

Bioinformatics Metaheuristics Structural Bioinformatics Machine Learning Optimization


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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	166	2014
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	39	2015
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	23	2012
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	22	2011
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	20	2017
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	20	2016
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, ON de Souza Journal of molecular modeling 18 (5), 1779-1790, 2012	19	2012
A hybrid method for the protein structure prediction problem M Dorn, A Breda, ON de Souza Brazilian Symposium on Bioinformatics, 47-56, 2008	19	2008
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	18	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	17	2008
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), 1-22, 2018	15	2018
A3N: an artificial neural network n-gram-based method to approximate 3-D polypeptides structure prediction M Dorn, ON De Souza Expert Systems with Applications 37 (12), 7497-7508, 2010	15	2010
Mining the protein data bank with cref to predict approximate 3-d structures of polypeptides M Dorn, ON De Souza International journal of data mining and bioinformatics 4 (3), 281-299, 2010	15	2010
Parallel verified linear system solver for uncertain input data M Kolberg, M Dorn, LG Fernandes, G Bohlender 2008 20th International Symposium on Computer Architecture and High …, 2008	13	2008
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	12	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	12	2018
A biased random key genetic algorithm for the protein–ligand docking problem PF Leonhart, E Spieler, R Ligabue-Braun, M Dorn Soft Computing 23 (12), 4155-4176, 2019	11	2019
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	9	2019
A knowledge-based genetic algorithm to predict three-dimensional structures of polypeptides M Dorn, M Inostroza-Ponta, LS Buriol, H Verli 2013 IEEE Congress on Evolutionary Computation, 1233-1240, 2013	9	2013
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	7	2020

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