Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment
The research field of systems biology has greatly advanced and, as a result, the concept of network pharmacology has been developed. This advancement, in turn, has shifted the paradigm from a “one-target, one-drug” mode to a “network-target, multiple-component-therapeutics” mode. Network pharmacolog...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-02-01
|
Series: | Frontiers in Pharmacology |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fphar.2019.00123/full |
id |
doaj-5c06d3d9f9e44dc0bdfbf0be8636f6ff |
---|---|
record_format |
Article |
spelling |
doaj-5c06d3d9f9e44dc0bdfbf0be8636f6ff2020-11-24T23:58:07ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122019-02-011010.3389/fphar.2019.00123428993Network Pharmacology Databases for Traditional Chinese Medicine: Review and AssessmentRunzhi ZhangXue ZhuHong BaiKang NingThe research field of systems biology has greatly advanced and, as a result, the concept of network pharmacology has been developed. This advancement, in turn, has shifted the paradigm from a “one-target, one-drug” mode to a “network-target, multiple-component-therapeutics” mode. Network pharmacology is more effective for establishing a “compound-protein/gene-disease” network and revealing the regulation principles of small molecules in a high-throughput manner. This approach makes it very powerful for the analysis of drug combinations, especially Traditional Chinese Medicine (TCM) preparations. In this work, we first summarized the databases and tools currently used for TCM research. Second, we focused on several representative applications of network pharmacology for TCM research, including studies on TCM compatibility, TCM target prediction, and TCM network toxicology research. Third, we compared the general statistics of several current TCM databases and evaluated and compared the search results of these databases based on 10 famous herbs. In summary, network pharmacology is a rational approach for TCM studies, and with the development of TCM research, powerful and comprehensive TCM databases have emerged but need further improvements. Additionally, given that several diseases could be treated by TCMs, with the mediation of gut microbiota, future studies should focus on both the microbiome and TCMs to better understand and treat microbiome-related diseases.https://www.frontiersin.org/article/10.3389/fphar.2019.00123/fullnetwork pharmacologyTraditional Chinese Medicinedatabaseassessment and comparisoncompleteness |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Runzhi Zhang Xue Zhu Hong Bai Kang Ning |
spellingShingle |
Runzhi Zhang Xue Zhu Hong Bai Kang Ning Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment Frontiers in Pharmacology network pharmacology Traditional Chinese Medicine database assessment and comparison completeness |
author_facet |
Runzhi Zhang Xue Zhu Hong Bai Kang Ning |
author_sort |
Runzhi Zhang |
title |
Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment |
title_short |
Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment |
title_full |
Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment |
title_fullStr |
Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment |
title_full_unstemmed |
Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment |
title_sort |
network pharmacology databases for traditional chinese medicine: review and assessment |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Pharmacology |
issn |
1663-9812 |
publishDate |
2019-02-01 |
description |
The research field of systems biology has greatly advanced and, as a result, the concept of network pharmacology has been developed. This advancement, in turn, has shifted the paradigm from a “one-target, one-drug” mode to a “network-target, multiple-component-therapeutics” mode. Network pharmacology is more effective for establishing a “compound-protein/gene-disease” network and revealing the regulation principles of small molecules in a high-throughput manner. This approach makes it very powerful for the analysis of drug combinations, especially Traditional Chinese Medicine (TCM) preparations. In this work, we first summarized the databases and tools currently used for TCM research. Second, we focused on several representative applications of network pharmacology for TCM research, including studies on TCM compatibility, TCM target prediction, and TCM network toxicology research. Third, we compared the general statistics of several current TCM databases and evaluated and compared the search results of these databases based on 10 famous herbs. In summary, network pharmacology is a rational approach for TCM studies, and with the development of TCM research, powerful and comprehensive TCM databases have emerged but need further improvements. Additionally, given that several diseases could be treated by TCMs, with the mediation of gut microbiota, future studies should focus on both the microbiome and TCMs to better understand and treat microbiome-related diseases. |
topic |
network pharmacology Traditional Chinese Medicine database assessment and comparison completeness |
url |
https://www.frontiersin.org/article/10.3389/fphar.2019.00123/full |
work_keys_str_mv |
AT runzhizhang networkpharmacologydatabasesfortraditionalchinesemedicinereviewandassessment AT xuezhu networkpharmacologydatabasesfortraditionalchinesemedicinereviewandassessment AT hongbai networkpharmacologydatabasesfortraditionalchinesemedicinereviewandassessment AT kangning networkpharmacologydatabasesfortraditionalchinesemedicinereviewandassessment |
_version_ |
1725451716193681408 |