A Quantum Chemical and Statistical Study of Cytotoxic Activity of Compounds Isolated from Curcuma zedoaria

Autor: Zuhra Bashir Khalifa Al Trabolsy, Nur Shahidatul Shida Zakaria, Khalijah Awang, Sharifuddin M. Zain, Omer Abdalla Ahmed Hamdi, Sri Nurestri Abd Malek, Jean-Frédéric F. Weber, Syarifah Nur Syed Abdul Rahman, Jamil A. Shilpi, Mohd Zulkefeli, El Hassane Anouar
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Phytochemicals
Quantitative Structure-Activity Relationship
DFT
lcsh:Chemistry
sesquiterpenes
Cluster Analysis
Cytotoxicity
skin and connective tissue diseases
lcsh:QH301-705.5
Spectroscopy
Principal Component Analysis
biology
Molecular Structure
Chemistry
QSAR
diterpenes
General Medicine
Curcuma zedoaria
Computer Science Applications
Principal component analysis
MCF-7 Cells
cytotoxicity
Regression Analysis
Density functional theory
HT29 Cells
Quantitative structure–activity relationship
Stereochemistry
Catalysis
Article
Inorganic Chemistry
Inhibitory Concentration 50
food
Curcuma
Cell Line
Tumor

Linear regression
Human Umbilical Vein Endothelial Cells
Molecule
Humans
Physical and Theoretical Chemistry
Molecular Biology
neoplasms
Organic Chemistry
biology.organism_classification
food.food
lcsh:Biology (General)
lcsh:QD1-999
Linear Models
Quantum Theory
Calcium
Drug Screening Assays
Antitumor
Zdroj: International Journal of Molecular Sciences
International Journal of Molecular Sciences, Vol 16, Iss 5, Pp 9450-9468 (2015)
Volume 16
Issue 5
Pages 9450-9468
ISSN: 1422-0067
Popis: A series of 21 compounds isolated from Curcuma zedoaria was subjected to cytotoxicity test against MCF7
Ca Ski
PC3 and HT-29 cancer cell lines
and a normal HUVEC cell line. To rationalize the structure–activity relationships of the isolated compounds
a set of electronic
steric and hydrophobic descriptors were calculated using density functional theory (DFT) method. Statistical analyses were carried out using simple and multiple linear regressions (SLR
MLR)
principal component analysis (PCA)
and hierarchical cluster analysis (HCA). SLR analyses showed that the cytotoxicity of the isolated compounds against a given cell line depend on certain descriptors
and the corresponding correlation coefficients (R2) vary from 0%–55%. MLR results revealed that the best models can be achieved with a limited number of specific descriptors applicable for compounds having a similar basic skeleton. Based on PCA
HCA and MLR analyses
active compounds were classified into subgroups
which was in agreement with the cell based cytotoxicity assay.
Databáze: OpenAIRE