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A causal relationship discovery-based approach to identifying active components of herbal medicine

Paper ID Volume ID Publish Year Pages File Format Full-Text
15508 1419 2006 7 PDF Available
Title
A causal relationship discovery-based approach to identifying active components of herbal medicine
Abstract

Herbal medicine is widely applied for clinical use in East Asia and other countries. However, unclear correlation between its complex chemical composition and bioactivity prevents its application in the West. In the present study, a stepwise causal adjacent relationship discovery algorithm has been developed to study correlation between composition and bioactivity of herbal medicine and identify active components from the complex mixture. This approach was successfully applied in discovering active constituents from mixed extracts of Radix Salviae miltiorrhizae and Cortex Moutan. Moreover, advantage of the present approach compared with bioassay-guided isolation was demonstrated by its application on a typical herbal drug. The current work offers a new way to virtually screen active components of herbal medicine, and it might be helpful to accelerate the process of new drug discovery from natural products.

Keywords
Herbal medicine; Causality discovery; Quantitative composition–activity relationship (QCAR); Rational design of botanical drug
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A causal relationship discovery-based approach to identifying active components of herbal medicine
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Publisher
Database: Elsevier - ScienceDirect
Journal: Computational Biology and Chemistry - Volume 30, Issue 2, April 2006, Pages 148–154
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us