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ITPI: Initial Transcription Process-Based Identification Method of Bioactive Components in Traditional Chinese Medicine Formula
Identification of bioactive components is an important area of research in traditional Chinese medicine (TCM) formula. The reported identification methods only consider the interaction between the components and the target proteins, which is not sufficient to explain the influence of TCM on the gene...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4789420/ https://www.ncbi.nlm.nih.gov/pubmed/27034696 http://dx.doi.org/10.1155/2016/8250323 |
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author | Zhang, Baixia Li, Yanwen Zhang, Yanling Li, Zhiyong Bi, Tian He, Yusu Song, Kuokui Wang, Yun |
author_facet | Zhang, Baixia Li, Yanwen Zhang, Yanling Li, Zhiyong Bi, Tian He, Yusu Song, Kuokui Wang, Yun |
author_sort | Zhang, Baixia |
collection | PubMed |
description | Identification of bioactive components is an important area of research in traditional Chinese medicine (TCM) formula. The reported identification methods only consider the interaction between the components and the target proteins, which is not sufficient to explain the influence of TCM on the gene expression. Here, we propose the Initial Transcription Process-based Identification (ITPI) method for the discovery of bioactive components that influence transcription factors (TFs). In this method, genome-wide chip detection technology was used to identify differentially expressed genes (DEGs). The TFs of DEGs were derived from GeneCards. The components influencing the TFs were derived from STITCH. The bioactive components in the formula were identified by evaluating the molecular similarity between the components in formula and the components that influence the TF of DEGs. Using the formula of Tian-Zhu-San (TZS) as an example, the reliability and limitation of ITPI were examined and 16 bioactive components that influence TFs were identified. |
format | Online Article Text |
id | pubmed-4789420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-47894202016-03-31 ITPI: Initial Transcription Process-Based Identification Method of Bioactive Components in Traditional Chinese Medicine Formula Zhang, Baixia Li, Yanwen Zhang, Yanling Li, Zhiyong Bi, Tian He, Yusu Song, Kuokui Wang, Yun Evid Based Complement Alternat Med Research Article Identification of bioactive components is an important area of research in traditional Chinese medicine (TCM) formula. The reported identification methods only consider the interaction between the components and the target proteins, which is not sufficient to explain the influence of TCM on the gene expression. Here, we propose the Initial Transcription Process-based Identification (ITPI) method for the discovery of bioactive components that influence transcription factors (TFs). In this method, genome-wide chip detection technology was used to identify differentially expressed genes (DEGs). The TFs of DEGs were derived from GeneCards. The components influencing the TFs were derived from STITCH. The bioactive components in the formula were identified by evaluating the molecular similarity between the components in formula and the components that influence the TF of DEGs. Using the formula of Tian-Zhu-San (TZS) as an example, the reliability and limitation of ITPI were examined and 16 bioactive components that influence TFs were identified. Hindawi Publishing Corporation 2016 2016-02-29 /pmc/articles/PMC4789420/ /pubmed/27034696 http://dx.doi.org/10.1155/2016/8250323 Text en Copyright © 2016 Baixia Zhang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhang, Baixia Li, Yanwen Zhang, Yanling Li, Zhiyong Bi, Tian He, Yusu Song, Kuokui Wang, Yun ITPI: Initial Transcription Process-Based Identification Method of Bioactive Components in Traditional Chinese Medicine Formula |
title | ITPI: Initial Transcription Process-Based Identification Method of Bioactive Components in Traditional Chinese Medicine Formula |
title_full | ITPI: Initial Transcription Process-Based Identification Method of Bioactive Components in Traditional Chinese Medicine Formula |
title_fullStr | ITPI: Initial Transcription Process-Based Identification Method of Bioactive Components in Traditional Chinese Medicine Formula |
title_full_unstemmed | ITPI: Initial Transcription Process-Based Identification Method of Bioactive Components in Traditional Chinese Medicine Formula |
title_short | ITPI: Initial Transcription Process-Based Identification Method of Bioactive Components in Traditional Chinese Medicine Formula |
title_sort | itpi: initial transcription process-based identification method of bioactive components in traditional chinese medicine formula |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4789420/ https://www.ncbi.nlm.nih.gov/pubmed/27034696 http://dx.doi.org/10.1155/2016/8250323 |
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