QSAR in flavonoids by similarity cluster prediction

Curr Comput Aided Drug Des. 2014;10(2):115-28. doi: 10.2174/1573409910666140410104542.

Abstract

Quantitative Structure-Activity Relationships based on molecular descriptors calculated with correlation weights within the hypermolecule, considered to mimic the investigated correlational space, was performed on a set of 40 flavonoids (PubChem database). The best models describing log P and LD50 of this set of flavonoids were validated by the leave-one-out procedure, in the external test set and in a new version of prediction by using clusters of similar molecules. The best prediction was provided by the similarity cluster procedure.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Cluster Analysis
  • Computer Simulation
  • Databases, Chemical
  • Flavonoids / chemistry*
  • Flavonoids / pharmacology*
  • Mice
  • Models, Biological
  • Quantitative Structure-Activity Relationship*

Substances

  • Flavonoids