QSAR study of flavonoids and biflavonoids as influenza H1N1 virus neuraminidase inhibitors.
We performed a predictive analysis based on Quantitative Structure-Activity Relationships (QSAR) of a very important property of flavonoids which is the inhibition (IC50) of influenza H1N1 virus neuraminidase. The best linear model constructed from 20 molecular structures incorporated four molecular descriptors, selected from more than a thousand geometrical, topological, quantum-mechanical and electronic types of descriptors. The obtained model suggests that the activity depends on the electric charges, masses and polarizabilities of the atoms present in the molecule as well as its conformation. The model showed good predictive ability established by the theoretical and external test set validations.
Mercader
Andrew G
AG
PRALIB (UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Junín 956, C1113AAD Buenos Aires, Argentina. andrewgmercader@gmail.com
Pomilio
Alicia B
AB
D015195:Drug Design; D004791:Enzyme Inhibitors / Q000737:chemistry / Q000494:pharmacology*; D005419:Flavonoids / Q000737:chemistry / Q000494:pharmacology*; D053118:Influenza A Virus, H1N1 Subtype / Q000201:enzymology*; D015394:Molecular Structure; D009439:Neuraminidase / Q000037:antagonists & inhibitors* / Q000378:metabolism; D021281:Quantitative Structure-Activity Relationship; D013237:Stereoisomerism; D013329:Structure-Activity Relationship
D004791:Enzyme Inhibitors; D005419:Flavonoids; D009439:Neuraminidase