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RESEARCH PRODUCT
Modeling Natural Anti-Inflammatory Compounds by Molecular Topology
Riccardo ZanniRamón García-domenechMaria Galvez-llompartsubject
Quantitative structure–activity relationshiplinear discriminant analysismedicine.drug_classAnti-Inflammatory AgentsQuantitative Structure-Activity RelationshipComputational biologyCatalysisAnti-inflammatoryNatural (archaeology)ArticleModel validationInorganic Chemistrylcsh:ChemistrymedicinePhysical and Theoretical ChemistryMolecular Biologylcsh:QH301-705.5Spectroscopynaturalanti-inflammatoryVirtual screeningBiological ProductsChemistryOrganic ChemistryExternal validationGeneral MedicineMolecular Topologyvirtual screeningCombinatorial chemistryComputer Science Applicationslcsh:Biology (General)lcsh:QD1-999Models ChemicalMolecular Topology; virtual screening; natural; anti-inflammatory; linear discriminant analysisIdentification (biology)Molecular topologydescription
One of the main pharmacological problems today in the treatment of chronic inflammation diseases consists of the fact that anti-inflammatory drugs usually exhibit side effects. The natural products offer a great hope in the identification of bioactive lead compounds and their development into drugs for treating inflammatory diseases. Computer-aided drug design has proved to be a very useful tool for discovering new drugs and, specifically, Molecular Topology has become a good technique for such a goal. A topological-mathematical model, obtained by linear discriminant analysis, has been developed for the search of new anti-inflammatory natural compounds. An external validation obtained with the remaining compounds (those not used in building up the model), has been carried out. Finally, a virtual screening on natural products was performed and 74 compounds showed actual anti-inflammatory activity. From them, 54 had been previously described as anti-inflammatory in the literature. This can be seen as a plus in the model validation and as a reinforcement of the role of Molecular Topology as an efficient tool for the discovery of new anti-inflammatory natural compounds.
year | journal | country | edition | language |
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2011-12-20 | International Journal of Molecular Sciences |