title: Novel approach for the numerical characterization of molecular chirality.
abstract: The use of chiral compounds as pharmaceuticals and agrochemicals continues to increase, warranting numerical characterization of chirality in order to develop structure-activity relationship models involving these compounds. Enantiomers are identical in all scalar properties and, hence, are not differentiated by topological indices and 3-D descriptors. Three distinct measures of chirality were developed to discriminate diastereomers and enantiomers. The novel topological indices treat chirality as a continuous measure, and hence we prefer to call it the Relative Chirality Index (RCI). Application of RCI in developing SAR is illustrated with the repellency data for the diastereomers of picaridin and AI3-37220.
authors.affiliation: Natural Resources Research Institute, University of Minnesota Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, USA.
authors.forename: Ramanathan
authors.initials: R
authors.lastname: Natarajan
authors.forename: Subhash C
authors.initials: SC
authors.lastname: Basak
authors.forename: Terrence S
authors.initials: TS
authors.lastname: Neumann
mesh_terms: D000596:Amino Acids / Q000737:chemistry; D000818:Animals; D009033:Culicidae / Q000187:drug effects; D007302:Insect Repellents / Q000737:chemistry* / Q000494:pharmacology; D015394:Molecular Structure; D010880:Piperidines / Q000737:chemistry* / Q000494:pharmacology; D013329:Structure-Activity Relationship
chemical_list: D000596:Amino Acids; D007302:Insect Repellents; D010880:Piperidines; C075892:1-(3-cyclohexen-1-ylcarbonyl)-2-methylpiperidine; C483506:picaridin