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dc.contributor.authorRoset Calzada, María Lourdes
dc.contributor.authorPérez González, Juan Jesús
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.date.accessioned2016-09-05T08:36:47Z
dc.date.issued2016-07-06
dc.identifier.citationRoset, M. Lourdes, Perez, J. Molecular polarization potential as a molecular descriptor to predict biological activity of dioxins and dibenzofurans. "Molecular Informatics", 6 Juliol 2016.
dc.identifier.issn1868-1743
dc.identifier.urihttp://hdl.handle.net/2117/89537
dc.description.abstractMolecular interaction potential (MIP) maps are a powerful tool to develop structure-activity relationships of a series of compounds. In the present study we have studied the effect of molecular polarization on the description of the toxicity of a series of dioxins and benzofurans using their MIPs. Specifically, we have used principal component analysis in an exploratory way to understand the common structural features that describe the toxicity of these molecules through the analysis of their MIPs and each of their components, i.e.; molecular electrostatic and polarization potentials. Moreover, we have developed a predictive model using PLS that permits to evaluate the toxicity of compounds belonging to any of the families of compounds studied in the present work on the basis of their molecular electrostatic and interaction potentials.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria química
dc.subject.lcshDioxins -- Toxicology
dc.subject.lcshDibenzofurans -- Toxicology
dc.subject.otherMolecular polarizability
dc.subject.otherPolarization potentials
dc.subject.otherInteraction energy maps
dc.subject.otherDioxins and furans toxicity
dc.subject.otherPLS analysis of toxicity
dc.subject.otherPCA analysis and toxicity
dc.titleMolecular polarization potential as a molecular descriptor to predict biological activity of dioxins and dibenzofurans
dc.typeArticle
dc.subject.lemacDioxines
dc.subject.lemacMolècules -- Estructura
dc.contributor.groupUniversitat Politècnica de Catalunya. GBMI - Grup de Biotecnologia Molecular i Industrial
dc.identifier.doi10.1002/minf.201600018
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://onlinelibrary.wiley.com/doi/10.1002/minf.201600018/epdf
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac18815246
dc.description.versionPreprint
dc.date.lift10000-01-01
local.citation.authorRoset, M. Lourdes; Perez, J.
local.citation.publicationNameMolecular Informatics


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