✦ LIBER ✦

Structure-odour-activity relationships of alkylpyrazines

✍ Scribed by R. Wagner; M. Czerny; J. Bielohradsky; W. Grosch

Book ID: 113022799
Publisher: Springer
Year: 1999
Tongue: English
Weight: 149 KB
Volume: 208
Category: Article
ISSN: 0044-3026
DOI: 10.1007/s002170050422

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Quantitative structure-activity relation

Quantitative structure-activity relationships (QSAR) and odour

✍ Dearden, John C. 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 733 KB

A Quantitative Structure-Activity Relati

A Quantitative Structure-Activity Relationship (QSAR) Study of Alkylpyrazine Odor Modalities

✍ Anna Tsantili-Kakoulidou; Lemont B. Kier 📂 Article 📅 1992 🏛 Springer US 🌐 English ⚖ 470 KB

Structure-activity-relationships of some

Structure-activity-relationships of someexo-isocamphanylcyclohexanols. Conformational calculations on sandalwood odour IX

✍ G. Buchbauer; A. Neumann; U. Siebenheitl; P. Weiß; P. Wolschann 📂 Article 📅 1994 🏛 Springer Vienna 🌐 English ⚖ 289 KB

Structure-Activity Relationships of Sand

Structure-Activity Relationships of Sandalwood Odorants: Synthesis and Odour of Methyl-β-santalol

✍ Gerhard Buchbauer; Friederike Zcchmeister-Machhart; Petra Weiß-Greilar; Peter Wo 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 508 KB

Structure–minty odour relationships: sug

Structure–minty odour relationships: suggestion of an interaction pattern

✍ Maurice Chastrette; Emanuelle Rallet 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 269 KB

Structure±odour relationships for the minty note were studied using a set of 150 compounds (68 minty and 82 not minty) with known olfactory descriptions and chemical structures. The study was based on the HBD (hydrogen bonding and dispersion) theory which considers that interactions involving molecu

Application of neural networks to struct

Application of neural networks to structure–sandalwood odour relationships

✍ Driss Zakarya; Driss Cherqaoui; M'Hamed Esseffar; Didier Villemin; Jean-Michel C 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 209 KB 👁 2 views

Neural networks have proved to be particularly successful in their ability to identify non-linear relationships. This paper shows that a three-layer back-propagation neural network is able to learn the relationship between the sandalwood odour and molecular structures of 85 organic compounds belongi