Barigye, Stephen J.Marrero-Ponce, YovaniAlfonso-Reguera, VitalioPérez-Giménez, Facundo2023-02-092023-02-092013Barigye, 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.2013.03.0570009-2614https://nru.uncst.go.ug/handle/123456789/7696A 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.enGT-STAFMarkovQSAR/QSPRsArticle