dc.contributorUniversidade Estadual Paulista (Unesp)
dc.creatorGalo, Andre Luiz [UNESP]
dc.creatorColombo, Marcio Francisco [UNESP]
dc.date2014-12-03T13:11:08Z
dc.date2014-12-03T13:11:08Z
dc.date2013-01-01
dc.date.accessioned2023-09-09T10:06:27Z
dc.date.available2023-09-09T10:06:27Z
dc.identifierhttp://dx.doi.org/10.1155/2013/372596
dc.identifierJournal Of Spectroscopy. New York: Hindawi Publishing Corporation, 7 p., 2013.
dc.identifier2314-4920
dc.identifierhttp://hdl.handle.net/11449/112893
dc.identifier10.1155/2013/372596
dc.identifierWOS:000325563700001
dc.identifierWOS000325563700001.pdf
dc.identifier3425817209646054
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8762511
dc.descriptionSingular values decomposition (SVD) is one of the most important computations in linear algebra because of its vast application for data analysis. It is particularly useful for resolving problems involving least-squares minimization, the determination of matrix rank, and the solution of certain problems involving Euclidean norms. Such problems arise in the spectral analysis of ligand binding to macromolecule. Here, we present a spectral data analysis method using SVD (SVD analysis) and nonlinear fitting to determine the binding characteristics of intercalating drugs to DNA. This methodology reduces noise and identifies distinct spectral species similar to traditional principal component analysis as well as fitting nonlinear binding parameters. We applied SVD analysis to investigate the interaction of actinomycin D and daunomycin with native DNA. This methodology does not require prior knowledge of ligand molar extinction coefficients (free and bound), which potentially limits binding analysis. Data are acquired simply by reconstructing the experimental data and by adjusting the product of deconvoluted matrices and the matrix of model coefficients determined by the Scatchard and McGee and von Hippel equation.
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionSao Paulo State Univ UNESP, Dept Phys, IBILCE, BR-15054000 Sao Jose Do Rio Preto, SP, Brazil
dc.descriptionSao Paulo State Univ UNESP, Dept Phys, IBILCE, BR-15054000 Sao Jose Do Rio Preto, SP, Brazil
dc.format7
dc.languageeng
dc.publisherHindawi Publishing Corporation
dc.relationJournal Of Spectroscopy
dc.relation1.391
dc.relation0,264
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.titleSingular Value Decomposition and Ligand Binding Analysis
dc.typeArtigo


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