Journal article
Planta Medica, 2021
Pharm D., PhD
Department of Neuroscience of Disease
Brain Research Institute, Niigata University
Department of Neuroscience of Disease Room 103
1-757 Asahimachidori, Chuo-ku Niigata 951-8585 JAPAN
APA
Click to copy
Dougnon, G., & Ito, M. (2021). Molecular Descriptors and QSAR Models for Sedative Activity of Sesquiterpenes Administered to Mice via Inhalation. Planta Medica.
Chicago/Turabian
Click to copy
Dougnon, Godfried, and Michiho Ito. “Molecular Descriptors and QSAR Models for Sedative Activity of Sesquiterpenes Administered to Mice via Inhalation.” Planta Medica (2021).
MLA
Click to copy
Dougnon, Godfried, and Michiho Ito. “Molecular Descriptors and QSAR Models for Sedative Activity of Sesquiterpenes Administered to Mice via Inhalation.” Planta Medica, 2021.
BibTeX Click to copy
@article{godfried2021a,
title = {Molecular Descriptors and QSAR Models for Sedative Activity of Sesquiterpenes Administered to Mice via Inhalation},
year = {2021},
journal = {Planta Medica},
author = {Dougnon, Godfried and Ito, Michiho}
}
Abstract Essential oils are often utilized for therapeutic purposes and are composed of complex structural molecules, including sesquiterpenes, with high molecular weight and potential for stereochemistry. A detailed study on the properties of selected sesquiterpenes was conducted as part of a broader investigation on the effects of sesquiterpenes on the central nervous system. A set of 18 sesquiterpenes, rigorously selected from an original list of 114, was divided into 2 groups i.e., the training and test sets, with each containing 9 compounds. The training set was evaluated for the sedative activity in mice through inhalation, and all compounds were sedatives at any dose in the range of 4 × 10 −4 –4 × 10 −2 mg/cage, except for curzerene. Molecular determinants of the sedative activities of sesquiterpenes were evaluated using quantitative structure–activity relationship (QSAR) and structure–activity relationship (SAR) analyses. An additional test set of six compounds obtained from the literature was utilized for validating the QSAR model. The parental carbonyl cation and an oxygen-containing groups are possible determinants of sedative activity. The QSAR study using multiple regression models could reasonably predict the sedative activity of sesquiterpenes with statistical parameters such as the correlation coefficient r 2 = 0.82 > 0.6 and q 2 LOO = 0.71 > 0.5 obtained using the leave-one-out cross-validation technique. Molar refractivity and the number of hydrogen bond acceptors were statistically important in predicting the activities. The present study could help predict the sedative activity of additional sesquiterpenes, thus accelerating the process of drug development.