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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/31231
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dc.contributor.advisor1Raquel Cardoso de Melo Minardipt_BR
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/9274887847308980pt_BR
dc.contributor.advisor-co1Cristiane Neri Nobrept_BR
dc.contributor.advisor-co2http://lattes.cnpq.br/6608329267627163pt_BR
dc.contributor.referee1Gisele Lobo Pappapt_BR
dc.contributor.referee2Lucas Bleicherpt_BR
dc.creatorMarcos Felipe Martins Silvapt_BR
dc.creator.Latteshttp://lattes.cnpq.br/8640152999488456pt_BR
dc.date.accessioned2019-11-22T18:18:28Z-
dc.date.available2019-11-22T18:18:28Z-
dc.date.issued2018-01-23-
dc.identifier.urihttp://hdl.handle.net/1843/31231-
dc.description.resumoMolecules of life (carbohydrates, lipids, nucleic acids, and proteins) can change their conformation in the space frequently due to non-covalent bonds (or contacts) between their molecules. The comprehension of patterns created through the contacts of atoms and amino acids has been used as an aid in solving a range of problems in bioinformatics such as protein conformation, the functional similarities between proteins, structural alignment, thermodynamic stability prediction, prediction of protein structures, drug design, and so forth. Several paradigms of calculation of contacts have been developed. However, all models present advantages and disadvantages. The model based only on distance present the problem of not guaranteeing that just the first layer of neighbor atoms are connected by edges, and occlusions may occur (when there is an intervening atom in-between). Concerning geometry, some techniques determine contacts in proteins through Delaunay and Voronoi tesselations. These methods present an issue where two atoms could establish an interaction, but the unique triangulation did not identify them as connected. Besides, the state-of-the-art lacks visualization techniques of non-covalent interactions, what would highly help in the identification of occlusions. An efficient manner to make the visualization of non-covalent interaction is through the use of games due to its benefits such as pleasure, stimulation, creativity, and enthusiasm. Also, several games in education have been an aid of understanding open problems in biochemistry. Hence, the present dissertation proposes a methodology for the construction and evaluation of a manually curated database for the classification of contacts between atoms of amino acids in protein chains through the use of digital games. To evaluate the built database with the state-of-the-art, data mining methods were used to find patterns in the classification of contacts. We also counted on the participation of inexperienced players in biochemistry, and we have significant evidence that they learned about molecular non-covalent bonds as they played.pt_BR
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃOpt_BR
dc.publisher.programPrograma de Pós-Graduação em Ciência da Computaçãopt_BR
dc.publisher.initialsUFMGpt_BR
dc.rightsAcesso Abertopt_BR
dc.rightsAtribuição-SemDerivados 3.0 Portugal*
dc.rights.urihttp://creativecommons.org/licenses/by-nd/3.0/pt/*
dc.subjectGamingpt_BR
dc.subjectData Miningpt_BR
dc.subjectBioinformaticspt_BR
dc.subjectContactspt_BR
dc.subjectBiological Complexespt_BR
dc.subjectNon-covalent Interatctionspt_BR
dc.subjectDigital Gamespt_BR
dc.subjectDecision Treespt_BR
dc.titleGaming and Data Mining in the Learning and Evaluation of Contacts in Biological Complexespt_BR
dc.title.alternativeO Uso de Jogos e Mineração de Dados no Aprendizado e Avaliação de Contatos em Complexos Biológicospt_BR
dc.typeDissertaçãopt_BR
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