Extended GT-STAF Information Indices based on Markov Approximation Models

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dc.contributor.authorBarigye, Stephen J.
dc.contributor.authorMarrero-Ponce, Yovani
dc.contributor.authorAlfonso-Reguera, Vitalio
dc.contributor.authorPérez-Giménez, Facundo
dc.date.accessioned2023-02-09T16:37:33Z
dc.date.available2023-02-09T16:37:33Z
dc.date.issued2013
dc.description.abstractA series of novel information theory-based molecular parameters derived from the insight of a molecular structure as a chemical communication system were recently presented and usefully employed in QSAR/QSPRs (J. Comp. Chem, 2013, 34, 259; SAR and QSAR in Environ. Res. 2013, 24). This approach permitted the application of Shannon’s source and channel coding entropic measures to a chemical information source comprised of molecular ‘fragments’, using the zero-order Markov approximation model (atom-based approach). This report covers the theoretical aspects of the extensions of this approach to higher-order models, introducing the first, second and generalized-order Markov approximation models.en_US
dc.identifier.citationBarigye, S. J., Marrero-Ponce, Y., Alfonso-Reguera, V., & Pérez-Giménez, F. (2013). Extended GT-STAF information indices based on Markov approximation models. Chemical Physics Letters, 570, 147-152.https://doi.org/10.1016/j.cplett.2013.03.057en_US
dc.identifier.issn0009-2614
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/7696
dc.language.isoenen_US
dc.publisherChemical Physics Lettersen_US
dc.subjectGT-STAFen_US
dc.subjectMarkoven_US
dc.subjectQSAR/QSPRsen_US
dc.titleExtended GT-STAF Information Indices based on Markov Approximation Modelsen_US
dc.typeArticleen_US
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