6533b7d7fe1ef96bd1268f19
RESEARCH PRODUCT
Information entropy-based classification of triterpenoids and steroids from Ganoderma
Gloria CastellanoFrancisco Torrenssubject
Molecular StructurebiologyGanodermaStereochemistryEntropymedicine.medical_treatmentGanodermaPlant ScienceGeneral MedicineHorticulturebiology.organism_classificationBioinformaticsBiochemistryAntioxidantsTriterpenesSteroidStructure-Activity RelationshipTriterpenoidArtificial IntelligencemedicineSteroidsMolecular BiologyAlgorithmsDrugs Chinese Herbaldescription
Abstract A set of 71 triterpenoid and steroid compounds from Ganoderma were periodically classified using a procedure based on information entropy with artificial intelligence. Six features were used in hierarchical order to classify the triterpenoids and steroids structurally. The phytochemicals belonging to the same group in the periodic table present similar antioxidant activity, and those compounds belonging to the same period exhibit maximum resemblance. The periodic classification is related to the experimental bioactivity and antioxidant potency data that are available in the literature: a steroid with a three-ketone group conjugated with two carbon–carbon double bonds in the right side of the periodic table exhibits the greatest antioxidant activity.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-08-01 | Phytochemistry |