The platform will undergo maintenance on Sep 14 at about 7:45 AM EST and will be unavailable for approximately 2 hours.
1998
DOI: 10.1021/jf980095c
|View full text |Cite
|
Sign up to set email alerts
|

Quantitative Structure−Activity Relationship Studies of Sulfamates RNHSO3Na: Distinction between Sweet, Sweet-Bitter, and Bitter Molecules

Abstract: Several different QSAR techniques have been applied to sweetness data for 50 sulfamates, RNHSO3Na (21 sweet, 20 sweet-bitter, and 9 bitter). Stepwise discriminant analysis has been used to separate the 50 molecules into 3 classes, sweet, sweet-bitter, and bitter. Cluster analysis using two principal components can clearly distinguish between the sweet and sweet-bitter molecules but not between all three classes. Regression analysis has been used to develop equations for parameters fitting to log(RS) (RS, relat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
27
0
4

Year Published

2001
2001
2011
2011

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 45 publications
(31 citation statements)
references
References 37 publications
(43 reference statements)
0
27
0
4
Order By: Relevance
“…This method has been used for the molecular lipophilicity estimations (Sarbu and Todor, 1998;Mannhold et al, 1998) and QSRR studies in chromatography (Héberger and Görgényi, 1999;Héberger, 2007), where its main advantage is clustering of solutes according to their retention behavior. Also, it is often used for studying structure-property relationship and QSAR investigations (Seybold, 1999;Drew et al, 1998).…”
Section: Introductionmentioning
confidence: 99%
“…This method has been used for the molecular lipophilicity estimations (Sarbu and Todor, 1998;Mannhold et al, 1998) and QSRR studies in chromatography (Héberger and Görgényi, 1999;Héberger, 2007), where its main advantage is clustering of solutes according to their retention behavior. Also, it is often used for studying structure-property relationship and QSAR investigations (Seybold, 1999;Drew et al, 1998).…”
Section: Introductionmentioning
confidence: 99%
“…agrotec., Lavras, v. 35, n. 5, p. 908-915, set./out., 2011 maximum amount of information from multidimensional datasets expressed as a matrix (DREW et al, 1998;MERDIA et al, 1979). The H360, HV313 and Falcon hybrids responded to foliar treatment with citric acid and all three are recommended for commercial propagation in this condition.…”
mentioning
confidence: 99%
“…We derived QSARs for molecules in 4 families, the sucrose and guanidine derivatives discussed above together with sulfamate and isovanillate families. The molecules used in these latter 2 families, and their RS values are previously published [12,13]. There were 149 molecules in all, and these were divided into a training set of 120 molecules and a test set of 29.…”
Section: Four Families Of Sweetener Moleculesmentioning
confidence: 99%
“…QSARs can be established most readily with families of molecules, and we have studied several series with known sweetness value. In previous work, we have studied 21 sulfamates that have RS values of 0.6 to 70.5 [12] and 41 isovanillates with RS values between 1 to 10 000 [13]. For the sulfamates, we used principal component analysis to distinguish between molecules that tasted sweet and bitter, and also developed linear multiple regression equations with good predictive power.…”
Section: Introductionmentioning
confidence: 99%