Related Experiment Video
Updated: Feb 7, 2026

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
Published on: March 22, 2019
Structural Characterization of Terpenoids from Abies holophylla Using Computational and Statistical Methods and Their
Chung Sub Kim1, Joonseok Oh2,3, Lalita Subedi4,5
1Natural Products Laboratory, School of Pharmacy , Sungkyunkwan University , Suwon 16419 , Republic of Korea.
Abstract:
Three new diterpenoids (1-3) and three new triterpenoids (4-6) were isolated from the trunk of Abies holophylla together with 19 known terpenoids. The chemical structures of 1-6 were determined through NMR and MS data analyses. Also, the structural assignments of some of these compounds were verified and elucidated utilizing computational methods coupled with a statistical procedure (CP3, DP4, and DP4+). All the isolated compounds were evaluated for their cytotoxicity against four human cancer cell lines (A549, SK-OV-3, SK-MEL-2, and HCT-15). In addition, the compounds were tested for their anti-inflammatory effects in lipopolysaccharide-stimulated murine microglia BV2 cells by measuring nitric oxide levels, and for their neuroprotective activity in C6 cells through induction of nerve growth factor.
Related Concept Videos
Statistical Significance
Statistical Methods for Analyzing Epidemiological Data
Area Computation by the Alternative Coordinate Method
Statistical Methods to Analyze Parametric Data: ANOVA
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
Biological Methods for Microbial Control
Probability in Statistics
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...

