✦ LIBER ✦

Computer-assisted structure/taste studies on sulfamates by pattern recognition methods

✍ Scribed by Yoshikatsu Miyashita; Yoshimasa Takahashi; Chiyozo Takayama; Takehiko Ohkubo; Kimito Funatsu; Shin-Ichi Sasaki

Publisher: Elsevier Science
Year: 1986
Tongue: English
Weight: 420 KB
Volume: 184
Category: Article
ISSN: 0003-2670
DOI: 10.1016/s0003-2670(00)86477-6

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✦ Synopsis

Structure/taste relationships for fifty carbosulfamates were investigated by means of pattern recognition. The SIMCA method was used to classify the compounds into sweet or unsweet categories. As a result of feature selection, four descriptors were shown to be significant in modelling the sweet compounds. A compound predicted to be sweet by the model equation was synthesized and found to be three times sweeter than sucrose.

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