title: Structure-taste relationships for disubstituted phenylsulfamate tastants using classification and regression tree (CART) analysis.
abstract: Forty-two new disubstituted phenylsulfamates have been synthesized, and 30 of these have been combined with 40 already available from earlier work to create a training database of 70 compounds. On the basis of panel taste data these were divided into three categories, N (nonsweet), N/S (nonsweet/sweet), and (S) sweet, and a "sweetness value" or weighting was also calculated for each compound. Using these 70 compounds as a training set and a series of nine predictors derived from Corey-Pauling-Koltun (CPK) models, calculated from the PC SPARTAN PRO program and Hammett sigma values taken from the literature, a classification and regression tree analysis (CART) was carried out leading to a regression tree that correctly classified 62 of the 70 compounds (89% overall correct classification). The tree's predictive ability varies for the different taste categories, and for nonsweet compounds it is virtually 100%; for nonsweet/sweet compounds it is 66%, and for sweet compounds it is approximately 75%. This tree correctly predicted taste categories for 10 compounds from a test set of 12 randomly selected from among the 42 new compounds (83% correct classification). Therefore, it can be used with a good degree of confidence to predict the tastes of disubstituted phenylsulfamates. For the design of new sweeteners, appropriate values or ranges of the descriptors are derived.
authors.affiliation: Department of Chemistry, National University of Ireland, Galway, Ireland. william.spillane@nuigalway.ie
authors.forename: William J
authors.initials: WJ
authors.lastname: Spillane
authors.forename: Damien P
authors.initials: DP
authors.lastname: Kelly
authors.forename: Patrick J
authors.initials: PJ
authors.lastname: Curran
authors.forename: Brendan G
authors.initials: BG
authors.lastname: Feeney
mesh_terms: D003494:Cyclamates / Q000737:chemistry / Q000145:classification; D006801:Humans; D009682:Magnetic Resonance Spectroscopy; D012044:Regression Analysis; D013329:Structure-Activity Relationship; D013451:Sulfonic Acids / Q000737:chemistry*; D013549:Sweetening Agents / Q000138:chemical synthesis / Q000737:chemistry* / Q000145:classification*; D013649:Taste
chemical_list: D003494:Cyclamates; D013451:Sulfonic Acids; D013549:Sweetening Agents