Integrated Analysis Identifies Interaction Patterns between Small Molecules and Pathways
Previous studies have indicated that the downstream proteins in a key pathway can be potential drug targets and that the pathway can play an important role in the action of drugs. So pathways could be considered as targets of small molecules. A link map between small molecules and pathways was const...
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Veröffentlicht in: | BioMed research international 2014-01, Vol.2014 (2014), p.1-10 |
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description | Previous studies have indicated that the downstream proteins in a key pathway can be potential drug targets and that the pathway can play an important role in the action of drugs. So pathways could be considered as targets of small molecules. A link map between small molecules and pathways was constructed using gene expression profile, pathways, and gene expression of cancer cell line intervened by small molecules and then we analysed the topological characteristics of the link map. Three link patterns were identified based on different drug discovery implications for breast, liver, and lung cancer. Furthermore, molecules that significantly targeted the same pathways tended to treat the same diseases. These results can provide a valuable reference for identifying drug candidates and targets in molecularly targeted therapy. |
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So pathways could be considered as targets of small molecules. A link map between small molecules and pathways was constructed using gene expression profile, pathways, and gene expression of cancer cell line intervened by small molecules and then we analysed the topological characteristics of the link map. Three link patterns were identified based on different drug discovery implications for breast, liver, and lung cancer. Furthermore, molecules that significantly targeted the same pathways tended to treat the same diseases. These results can provide a valuable reference for identifying drug candidates and targets in molecularly targeted therapy.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2014/931825</identifier><identifier>PMID: 25114931</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Puplishing Corporation</publisher><subject>Antimitotic agents ; Antineoplastic agents ; Cancer cells ; Cancer therapies ; Cluster Analysis ; Complications and side effects ; Computational Biology - methods ; Databases, Genetic ; Disease ; Dosage and administration ; Drug targeting ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic - genetics ; Genetic engineering ; Humans ; Liver cancer ; Lung cancer ; Medical research ; Neoplasms - genetics ; Neoplasms - metabolism ; Signal Transduction - genetics ; Transcriptome - genetics ; Transcriptome - physiology</subject><ispartof>BioMed research international, 2014-01, Vol.2014 (2014), p.1-10</ispartof><rights>Copyright © 2014 Yan Li et al.</rights><rights>COPYRIGHT 2014 John Wiley & Sons, Inc.</rights><rights>Copyright © 2014 Yan Li et al. Yan Li et al. 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.</rights><rights>Copyright © 2014 Yan Li et al. 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c527t-bd30b3840ef0f22cb510695d0327c673e77d8d11ddbc4e1f41be333153668e993</citedby><cites>FETCH-LOGICAL-c527t-bd30b3840ef0f22cb510695d0327c673e77d8d11ddbc4e1f41be333153668e993</cites><orcidid>0000-0002-5570-3809</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4121214/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4121214/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,886,27928,27929,53795,53797</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25114931$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zheng, Siyuan</contributor><creatorcontrib>Li, Weiguo</creatorcontrib><creatorcontrib>Li, Yan</creatorcontrib><creatorcontrib>Chen, Xin</creatorcontrib><creatorcontrib>Jiang, Hong</creatorcontrib><creatorcontrib>Sun, Jiatong</creatorcontrib><creatorcontrib>Chen, Huan</creatorcontrib><creatorcontrib>Lv, Sali</creatorcontrib><title>Integrated Analysis Identifies Interaction Patterns between Small Molecules and Pathways</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><description>Previous studies have indicated that the downstream proteins in a key pathway can be potential drug targets and that the pathway can play an important role in the action of drugs. So pathways could be considered as targets of small molecules. A link map between small molecules and pathways was constructed using gene expression profile, pathways, and gene expression of cancer cell line intervened by small molecules and then we analysed the topological characteristics of the link map. Three link patterns were identified based on different drug discovery implications for breast, liver, and lung cancer. Furthermore, molecules that significantly targeted the same pathways tended to treat the same diseases. These results can provide a valuable reference for identifying drug candidates and targets in molecularly targeted therapy.</description><subject>Antimitotic agents</subject><subject>Antineoplastic agents</subject><subject>Cancer cells</subject><subject>Cancer therapies</subject><subject>Cluster Analysis</subject><subject>Complications and side effects</subject><subject>Computational Biology - methods</subject><subject>Databases, Genetic</subject><subject>Disease</subject><subject>Dosage and administration</subject><subject>Drug targeting</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic - genetics</subject><subject>Genetic engineering</subject><subject>Humans</subject><subject>Liver cancer</subject><subject>Lung cancer</subject><subject>Medical research</subject><subject>Neoplasms - genetics</subject><subject>Neoplasms - metabolism</subject><subject>Signal Transduction - genetics</subject><subject>Transcriptome - 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methods</topic><topic>Databases, Genetic</topic><topic>Disease</topic><topic>Dosage and administration</topic><topic>Drug targeting</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Neoplastic - genetics</topic><topic>Genetic engineering</topic><topic>Humans</topic><topic>Liver cancer</topic><topic>Lung cancer</topic><topic>Medical research</topic><topic>Neoplasms - genetics</topic><topic>Neoplasms - metabolism</topic><topic>Signal Transduction - genetics</topic><topic>Transcriptome - genetics</topic><topic>Transcriptome - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Weiguo</creatorcontrib><creatorcontrib>Li, Yan</creatorcontrib><creatorcontrib>Chen, Xin</creatorcontrib><creatorcontrib>Jiang, Hong</creatorcontrib><creatorcontrib>Sun, Jiatong</creatorcontrib><creatorcontrib>Chen, Huan</creatorcontrib><creatorcontrib>Lv, Sali</creatorcontrib><collection>الدوريات العلمية والإحصائية - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BioMed research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Weiguo</au><au>Li, Yan</au><au>Chen, Xin</au><au>Jiang, Hong</au><au>Sun, Jiatong</au><au>Chen, Huan</au><au>Lv, Sali</au><au>Zheng, Siyuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrated Analysis Identifies Interaction Patterns between Small Molecules and Pathways</atitle><jtitle>BioMed research international</jtitle><addtitle>Biomed Res Int</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>2014</volume><issue>2014</issue><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>Previous studies have indicated that the downstream proteins in a key pathway can be potential drug targets and that the pathway can play an important role in the action of drugs. So pathways could be considered as targets of small molecules. A link map between small molecules and pathways was constructed using gene expression profile, pathways, and gene expression of cancer cell line intervened by small molecules and then we analysed the topological characteristics of the link map. Three link patterns were identified based on different drug discovery implications for breast, liver, and lung cancer. Furthermore, molecules that significantly targeted the same pathways tended to treat the same diseases. These results can provide a valuable reference for identifying drug candidates and targets in molecularly targeted therapy.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Puplishing Corporation</pub><pmid>25114931</pmid><doi>10.1155/2014/931825</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-5570-3809</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Antimitotic agents Antineoplastic agents Cancer cells Cancer therapies Cluster Analysis Complications and side effects Computational Biology - methods Databases, Genetic Disease Dosage and administration Drug targeting Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic - genetics Genetic engineering Humans Liver cancer Lung cancer Medical research Neoplasms - genetics Neoplasms - metabolism Signal Transduction - genetics Transcriptome - genetics Transcriptome - physiology |
title | Integrated Analysis Identifies Interaction Patterns between Small Molecules and Pathways |
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