GEPSI: A Gene Expression Profile Similarity-Based Identification Method of Bioactive Components in Traditional Chinese Medicine Formula

Joint Authors

Wang, Yun
Zhang, Bai-xia
He, Shuaibing
Lv, Chenyang
Zhang, Yanling

Source

Evidence-Based Complementary and Alternative Medicine

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-03-06

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Medicine

Abstract EN

The identification of bioactive components in traditional Chinese medicine (TCM) is an important part of the TCM material foundation research.

Recently, molecular docking technology has been extensively used for the identification of TCM bioactive components.

However, target proteins that are used in molecular docking may not be the actual TCM target.

For this reason, the bioactive components would likely be omitted or incorrect.

To address this problem, this study proposed the GEPSI method that identified the target proteins of TCM based on the similarity of gene expression profiles.

The similarity of the gene expression profiles affected by TCM and small molecular drugs was calculated.

The pharmacological action of TCM may be similar to that of small molecule drugs that have a high similarity score.

Indeed, the target proteins of the small molecule drugs could be considered TCM targets.

Thus, we identified the bioactive components of a TCM by molecular docking and verified the reliability of this method by a literature investigation.

Using the target proteins that TCM actually affected as targets, the identification of the bioactive components was more accurate.

This study provides a fast and effective method for the identification of TCM bioactive components.

American Psychological Association (APA)

Zhang, Bai-xia& He, Shuaibing& Lv, Chenyang& Zhang, Yanling& Wang, Yun. 2018. GEPSI: A Gene Expression Profile Similarity-Based Identification Method of Bioactive Components in Traditional Chinese Medicine Formula. Evidence-Based Complementary and Alternative Medicine،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1156072

Modern Language Association (MLA)

Zhang, Bai-xia…[et al.]. GEPSI: A Gene Expression Profile Similarity-Based Identification Method of Bioactive Components in Traditional Chinese Medicine Formula. Evidence-Based Complementary and Alternative Medicine No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1156072

American Medical Association (AMA)

Zhang, Bai-xia& He, Shuaibing& Lv, Chenyang& Zhang, Yanling& Wang, Yun. GEPSI: A Gene Expression Profile Similarity-Based Identification Method of Bioactive Components in Traditional Chinese Medicine Formula. Evidence-Based Complementary and Alternative Medicine. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1156072

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1156072