2015
DOI: 10.1016/j.phytochem.2015.05.008
|View full text |Cite
|
Sign up to set email alerts
|

Information entropy-based classification of triterpenoids and steroids from Ganoderma

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
7
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
7
3

Relationship

0
10

Authors

Journals

citations
Cited by 25 publications
(7 citation statements)
references
References 14 publications
0
7
0
Order By: Relevance
“…The antioxidant activity of synthesized capsiates was determined and confirmed using in vitro assays 45 , and these capsiates show a concentration-dependent ROS scavenging capacity that neutralizes superoxide radicals 46 . Licoagroside A has antioxidative ability against ROS generation in the skin 47 , and tsugaric acid B presents antioxidant activity in Ganoderma 48 . However, in the Ne treatment, these compounds all decreased.…”
Section: Discussionmentioning
confidence: 99%
“…The antioxidant activity of synthesized capsiates was determined and confirmed using in vitro assays 45 , and these capsiates show a concentration-dependent ROS scavenging capacity that neutralizes superoxide radicals 46 . Licoagroside A has antioxidative ability against ROS generation in the skin 47 , and tsugaric acid B presents antioxidant activity in Ganoderma 48 . However, in the Ne treatment, these compounds all decreased.…”
Section: Discussionmentioning
confidence: 99%
“…The approach provides additional opportunities for classifying chemical structures. It could be done with the use of h-based estimates in combination with other parameters relevant to chemical properties of the substances [54][55][56][57]. For example, Zhdanov proposed the classification of natural compounds in the space of two coordinates: h/N and the mean oxidation state of the carbon atoms in the molecule (Figure 5) [57].…”
Section: Figurementioning
confidence: 99%
“…First, it is a structural descriptor for assessing the complexity of chemical structures [26]. Information entropy is useful in this regard for connecting structural and physicochemical features [27], numerically distinguishing isomers of organic molecules [28], and classifying natural products and synthetic chemicals [29,30].…”
Section: Introductionmentioning
confidence: 99%