Characterizing the network of drugs and their affected metabolic subpathways.

A fundamental issue in biology and medicine is illustration of the overall drug impact which is always the consequence of changes in local regions of metabolic pathways (subpathways). To gain insights into the global relationship between drugs and their affected metabolic subpathways, we constructed...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Chunquan Li, Desi Shang, Yan Wang, Jing Li, Junwei Han, Shuyuan Wang, Qianlan Yao, Yingying Wang, Yunpeng Zhang, Chunlong Zhang, Yanjun Xu, Wei Jiang, Xia Li
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/80b1bf26333f4a6e93f6203cf2250998
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:80b1bf26333f4a6e93f6203cf2250998
record_format	dspace
spelling	oai:doaj.org-article:80b1bf26333f4a6e93f6203cf22509982021-11-18T08:11:13ZCharacterizing the network of drugs and their affected metabolic subpathways.1932-620310.1371/journal.pone.0047326https://doaj.org/article/80b1bf26333f4a6e93f6203cf22509982012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23112813/?tool=EBIhttps://doaj.org/toc/1932-6203A fundamental issue in biology and medicine is illustration of the overall drug impact which is always the consequence of changes in local regions of metabolic pathways (subpathways). To gain insights into the global relationship between drugs and their affected metabolic subpathways, we constructed a drug-metabolic subpathway network (DRSN). This network included 3925 significant drug-metabolic subpathway associations representing drug dual effects. Through analyses based on network biology, we found that if drugs were linked to the same subpathways in the DRSN, they tended to share the same indications and side effects. Furthermore, if drugs shared more subpathways, they tended to share more side effects. We then calculated the association score by integrating drug-affected subpathways and disease-related subpathways to quantify the extent of the associations between each drug class and disease class. The results showed some close drug-disease associations such as sex hormone drugs and cancer suggesting drug dual effects. Surprisingly, most drugs displayed close associations with their side effects rather than their indications. To further investigate the mechanism of drug dual effects, we classified all the subpathways in the DRSN into therapeutic and non-therapeutic subpathways representing drug therapeutic effects and side effects. Compared to drug side effects, the therapeutic effects tended to work through tissue-specific genes and these genes tend to be expressed in the adrenal gland, liver and kidney; while drug side effects always occurred in the liver, bone marrow and trachea. Taken together, the DRSN could provide great insights into understanding the global relationship between drugs and metabolic subpathways.Chunquan LiDesi ShangYan WangJing LiJunwei HanShuyuan WangQianlan YaoYingying WangYunpeng ZhangChunlong ZhangYanjun XuWei JiangXia LiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 10, p e47326 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chunquan Li Desi Shang Yan Wang Jing Li Junwei Han Shuyuan Wang Qianlan Yao Yingying Wang Yunpeng Zhang Chunlong Zhang Yanjun Xu Wei Jiang Xia Li Characterizing the network of drugs and their affected metabolic subpathways.
description	A fundamental issue in biology and medicine is illustration of the overall drug impact which is always the consequence of changes in local regions of metabolic pathways (subpathways). To gain insights into the global relationship between drugs and their affected metabolic subpathways, we constructed a drug-metabolic subpathway network (DRSN). This network included 3925 significant drug-metabolic subpathway associations representing drug dual effects. Through analyses based on network biology, we found that if drugs were linked to the same subpathways in the DRSN, they tended to share the same indications and side effects. Furthermore, if drugs shared more subpathways, they tended to share more side effects. We then calculated the association score by integrating drug-affected subpathways and disease-related subpathways to quantify the extent of the associations between each drug class and disease class. The results showed some close drug-disease associations such as sex hormone drugs and cancer suggesting drug dual effects. Surprisingly, most drugs displayed close associations with their side effects rather than their indications. To further investigate the mechanism of drug dual effects, we classified all the subpathways in the DRSN into therapeutic and non-therapeutic subpathways representing drug therapeutic effects and side effects. Compared to drug side effects, the therapeutic effects tended to work through tissue-specific genes and these genes tend to be expressed in the adrenal gland, liver and kidney; while drug side effects always occurred in the liver, bone marrow and trachea. Taken together, the DRSN could provide great insights into understanding the global relationship between drugs and metabolic subpathways.
format	article
author	Chunquan Li Desi Shang Yan Wang Jing Li Junwei Han Shuyuan Wang Qianlan Yao Yingying Wang Yunpeng Zhang Chunlong Zhang Yanjun Xu Wei Jiang Xia Li
author_facet	Chunquan Li Desi Shang Yan Wang Jing Li Junwei Han Shuyuan Wang Qianlan Yao Yingying Wang Yunpeng Zhang Chunlong Zhang Yanjun Xu Wei Jiang Xia Li
author_sort	Chunquan Li
title	Characterizing the network of drugs and their affected metabolic subpathways.
title_short	Characterizing the network of drugs and their affected metabolic subpathways.
title_full	Characterizing the network of drugs and their affected metabolic subpathways.
title_fullStr	Characterizing the network of drugs and their affected metabolic subpathways.
title_full_unstemmed	Characterizing the network of drugs and their affected metabolic subpathways.
title_sort	characterizing the network of drugs and their affected metabolic subpathways.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/80b1bf26333f4a6e93f6203cf2250998
work_keys_str_mv	AT chunquanli characterizingthenetworkofdrugsandtheiraffectedmetabolicsubpathways AT desishang characterizingthenetworkofdrugsandtheiraffectedmetabolicsubpathways AT yanwang characterizingthenetworkofdrugsandtheiraffectedmetabolicsubpathways AT jingli characterizingthenetworkofdrugsandtheiraffectedmetabolicsubpathways AT junweihan characterizingthenetworkofdrugsandtheiraffectedmetabolicsubpathways AT shuyuanwang characterizingthenetworkofdrugsandtheiraffectedmetabolicsubpathways AT qianlanyao characterizingthenetworkofdrugsandtheiraffectedmetabolicsubpathways AT yingyingwang characterizingthenetworkofdrugsandtheiraffectedmetabolicsubpathways AT yunpengzhang characterizingthenetworkofdrugsandtheiraffectedmetabolicsubpathways AT chunlongzhang characterizingthenetworkofdrugsandtheiraffectedmetabolicsubpathways AT yanjunxu characterizingthenetworkofdrugsandtheiraffectedmetabolicsubpathways AT weijiang characterizingthenetworkofdrugsandtheiraffectedmetabolicsubpathways AT xiali characterizingthenetworkofdrugsandtheiraffectedmetabolicsubpathways
_version_	1718422117867847680

Characterizing the network of drugs and their affected metabolic subpathways.

Ejemplares similares