Classification of New CNS-active Compounds by a Two-lever Drug Discrimination Procedure

1985 ◽  
Vol 18 (01) ◽  
pp. 141-142
Author(s):  
H. Menge ◽  
U. Brand ◽  
H. Kley
2011 ◽  
Vol 76 (9) ◽  
pp. 1263-1282 ◽  
Author(s):  
Jardel Barbosa ◽  
João Ferreira ◽  
Antonio Figueiredo ◽  
Ruth Almeida ◽  
Osmarina Silva ◽  
...  

In this work, a molecular modeling and multivariate study involving artemisinin and 28 derivatives with activity against human hepatocellular carcinoma HepG2 is reported. The studied calculations of the compounds were performed at the B3LYP/6-31G level. MEP maps were used in an attempt to identify key structural features of artemisinin and its derivatives that are necessary for their activities, and to investigate their interaction with the transferrin. The chemometrics methods PCA, HCA, KNN, SIMCA and SDA were employed in order to reduce dimensionality and to investigate which subset of variables could be more effective for classification of the compounds according to their degree of anticancer activity. Chemometric studies revealed that the ALOGPS_logs, Mor29m, IC5 and the Gap energy descriptors are responsible for the separation into more active and less active compounds. In addition, molecular docking was used to investigate the interaction between ligands and receptor. The results showed that the ligands approached the receptor through the endoperoxide bond.


1998 ◽  
Vol 138 (1) ◽  
pp. 16-26 ◽  
Author(s):  
J. M. Frey ◽  
Miriam Z. Mintzer ◽  
C. R. Rush ◽  
R. R. Griffiths

Molecules ◽  
2019 ◽  
Vol 24 (23) ◽  
pp. 4352
Author(s):  
Die Hu ◽  
Junrui Guo ◽  
Ting Li ◽  
Mu Zhao ◽  
Tingting Zou ◽  
...  

Solid-phase microextraction (SPME), purge and trap (P&T), stir bar sportive extraction (SBSE), and dynamic headspace sampling (DHS) were applied to extract, separate and analyze the volatile compounds in the roots of Hangbaizhi, Qibaizhi, and Bobaizhi and the GC-O-MS/MS (AEDA) was utilized for the quantification of key aroma compounds. Totals of 52, 54, and 43 aroma-active compounds extracted from the three samples by the four extraction methods were identified. Among these methods, the SPME effectively extracted the aroma compounds from the A. dahurica. Thus, using the SPME methods for quantitative analysis based on external standards and subsequent dilution analyses, totals of 20, 21, and 17 aroma compounds were detected in the three samples by the sniffing test, and sensory evaluations indicated that the aromas of A. dahurica included herb, spice, and woody. Finally, principal component analysis (PCA) showed that the three kinds A. dahurica formed three separate groups, and partial least squares discriminant analysis (PLS-DA) showed that caryophyllene, (−)-β-elemene, nonanal, and β-pinene played an important role in the classification of A. dahurica.


Sign in / Sign up

Export Citation Format

Share Document