Please use this identifier to cite or link to this item: http://repositorio.ufc.br/handle/riufc/41532
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dc.contributor.authorSouza, Michael Ferreira de-
dc.contributor.authorLavor, Carlile Campos-
dc.contributor.authorMuritiba, Albert Einstein Fernandes-
dc.contributor.authorMaculan Filho, Nelson-
dc.date.accessioned2019-05-09T16:34:53Z-
dc.date.available2019-05-09T16:34:53Z-
dc.date.issued2013-
dc.identifier.citationSOUZA, Michael et al. Solving the molecular distance geometry problem with inaccurate distance data. BMC Bioinformatics, v. 14, p. S7, 2013.pt_BR
dc.identifier.urihttp://www.repositorio.ufc.br/handle/riufc/41532-
dc.description.abstractWe present a new iterative algorithm for the molecular distance geometry problem with inaccurate and sparse data, which is based on the solution of linear systems, maximum cliques, and a minimization of nonlinear least-squares function. Computational results with real protein structures are presented in order to validate our approach.pt_BR
dc.language.isoenpt_BR
dc.subjectAlgoritmopt_BR
dc.subjectGeometriapt_BR
dc.subjectSistemas linearespt_BR
dc.titleSolving the molecular distance geometry problem with inaccurate distance datapt_BR
dc.typeArtigo de Periódicopt_BR
dc.description.abstract-ptbrApresentamos um novo algoritmo iterativo para o problema de geometria de distância molecular com dados imprecisos e esparsos, que é baseado na solução de sistemas lineares, cliques máximos e uma minimização da função de mínimos quadrados não-lineares. Resultados computacionais com estruturas proteicas reais são apresentados para validar nossa abordagem.pt_BR
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