Computer-assisted structure—carcinogenicity studies on polycyclic aromatic hydrocarbons by pattern recognition methods
✍ Scribed by Yoshikatsu Miyashita; Tomoko Seki; Yoshimasa Takahashi; Shin-Ichi Daiba; Yuichiro Tanaka; Yasuhiko Yotsui; Hidetsugu Abe; Shin-Ichi Sasaki
- Book ID
- 108306270
- Publisher
- Elsevier Science
- Year
- 1981
- Tongue
- English
- Weight
- 553 KB
- Volume
- 133
- Category
- Article
- ISSN
- 0003-2670
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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 comp
Structure-taste relationships for 25 acyclic and 20 cyclic carbosulfamates were investigated by means of pattern recognition using different graph theoretical invariants as molecular substituent descriptors. The SIMCA method was used to classify the compounds into sweet and nonsweet classes. All sel