title: Triple-layered QSAR studies on substituted 1,2,4-trioxanes as potential antimalarial agents: superiority of the quantitative pharmacophore-based alignment over common substructure-based alignment.
abstract: This study reports the utilization of three approaches - pharmacophore, CoMFA/CoMSIA and HQSAR studies - to identify the essential structural requirements in 3D chemical space for the modulation of the antimalarial activity of substituted 1,2,4-trioxanes. The superiority of quantitative pharmacophore-based alignment (QuantitativePBA) over global minima energy conformer-based alignment (GMCBA) has been reported in CoMFA and CoMSIA studies. The developed models showed good statistical significance in internal validation (q(2), group cross-validation and bootstrapping) and performed very well in predicting the antimalarial activity of test set compounds. Structural features in terms of their steric, electrostatic and hydrophobic interactions in 3D space have been found to be important for the antimalarial activity of substituted 1,2,4-trioxanes. Further, the HQSAR studies based on the same training and test set acted as an additional tool to find the sub-structural fingerprints of substituted 1,2,4-trioxanes for their antimalarial activity. Together, these studies may facilitate the design and discovery of new substituted 1,2,4-trioxanes with potent antimalarial activity.
authors.affiliation: Medicinal and Process Chemistry Division, C.S.I.R. - Central Drug Research Institute, Lucknow, India.
authors.forename: A K
authors.initials: AK
authors.lastname: Gupta
authors.forename: A K
authors.initials: AK
authors.lastname: Saxena
mesh_terms: D000962:Antimalarials / Q000737:chemistry* / Q000494:pharmacology*; D002626:Chemistry, Pharmaceutical / Q000379:methods*; D006571:Heterocyclic Compounds / Q000737:chemistry* / Q000494:pharmacology*; D015233:Models, Statistical; D021281:Quantitative Structure-Activity Relationship
chemical_list: C503429:1,2,4-trioxane; D000962:Antimalarials; D006571:Heterocyclic Compounds