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Discovering Health Benefits of Phytochemicals with Integrated Analysis of the Molecular Network, Chemical Properties and Ethnopharmacological Evidence
- Source :
- Nutrients, Volume 10, Issue 8, Nutrients, Vol 10, Iss 8, p 1042 (2018)
- Publication Year :
- 2018
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2018.
-
Abstract
- Identifying the health benefits of phytochemicals is an essential step in drug and functional food development. While many in vitro screening methods have been developed to identify the health effects of phytochemicals, there is still room for improvement because of high cost and low productivity. Therefore, researchers have alternatively proposed in silico methods, primarily based on three types of approaches<br />utilizing molecular, chemical or ethnopharmacological information. Although each approach has its own strength in analyzing the characteristics of phytochemicals, previous studies have not considered them all together. Here, we apply an integrated in silico analysis to identify the potential health benefits of phytochemicals based on molecular analysis and chemical properties as well as ethnopharmacological evidence. From the molecular analysis, we found an average of 415.6 health effects for 591 phytochemicals. We further investigated ethnopharmacological evidence of phytochemicals and found that on average 129.1 (31%) of the predicted health effects had ethnopharmacological evidence. Lastly, we investigated chemical properties to confirm whether they are orally bio-available, drug available or effective on certain tissues. The evaluation results indicate that the health effects can be predicted more accurately by cooperatively considering the molecular analysis, chemical properties and ethnopharmacological evidence.
- Subjects :
- 0301 basic medicine
Network medicine
Databases, Factual
In silico
Phytochemicals
lcsh:TX341-641
Computational biology
phytochemical
Health benefits
Biology
Article
Structure-Activity Relationship
03 medical and health sciences
Functional food
Screening method
Data Mining
Humans
molecular analysis
ethnopharmacology
network medicine
Nutrition and Dietetics
Molecular Structure
chemical property
Molecular analysis
Systems Integration
Molecular network
030104 developmental biology
Phytochemical
herbal medicine
Plant Preparations
health benefits
lcsh:Nutrition. Foods and food supply
Algorithms
Food Science
Subjects
Details
- Language :
- English
- ISSN :
- 20726643
- Database :
- OpenAIRE
- Journal :
- Nutrients
- Accession number :
- edsair.doi.dedup.....6768fd41d3e68f3ea13463c0e06815b2
- Full Text :
- https://doi.org/10.3390/nu10081042