6533b7ddfe1ef96bd127405f

RESEARCH PRODUCT

Classification of flavonoid compounds by using entropy of information theory

Gloria CastellanoFrancisco TorrensJ. L. González-santanderAna Lara

subject

StereochemistryEntropyFlavonoidInformation TheoryPlant ScienceHorticultureInformation theoryBiochemistryAntioxidantsMolecular classificationEntropy (information theory)heterocyclic compoundsMolecular BiologyFlavonoidschemistry.chemical_classificationPrincipal Component AnalysisMolecular Structurebusiness.industryfungifood and beveragesPattern recognitionGeneral MedicinechemistryArtificial intelligencebusinessAlgorithms

description

A total of 74 flavonoid compounds are classified into a periodic table by using an algorithm based on the entropy of information theory. Seven features in hierarchical order are used to classify structurally the flavonoids. From these features, the first three mark the group or column, while the last four are used to indicate the row or period in a table of periodic classification. Those flavonoids in the same group and period are suggested to show maximum similarity in properties. Furthermore, those with only the same group will present moderate similarity. In this report, the flavonoid compounds in the table, whose experimental data in bioactivity and antioxidant properties have been previously published, are related.

https://doi.org/10.1016/j.phytochem.2013.03.024