CAMND: Comparative analysis of metabolic network decomposition based on previous and two new criteria, a web based application

Metabolic networks can model the behavior of metabolism in the cell. Since analyzing the whole metabolic networks is not easy, network modulation is an important issue to be investigated. Decomposing metabolic networks is a strategy to obtain better insight into metabolic functions. Additionally, de...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:BioSystems 2020-03, Vol.189, p.104081-104081, Article 104081
Hauptverfasser: Yassaee Meybodi, Fatemeh, Emdadi, Akram, Rezvan, Abolfazl, Eslahchi, Changiz
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 104081
container_issue
container_start_page 104081
container_title BioSystems
container_volume 189
creator Yassaee Meybodi, Fatemeh
Emdadi, Akram
Rezvan, Abolfazl
Eslahchi, Changiz
description Metabolic networks can model the behavior of metabolism in the cell. Since analyzing the whole metabolic networks is not easy, network modulation is an important issue to be investigated. Decomposing metabolic networks is a strategy to obtain better insight into metabolic functions. Additionally, decomposing these networks facilitates using computational methods, which are very slow when applied to the original genome-scale network. Several methods have been proposed for decomposing of the metabolic network. Therefore, it is necessary to evaluate these methods by suitable criteria. In this study, we introduce a web server package for decomposing of metabolic networks with 10 different methods, 9 datasets and the ability of computing 12 criteria, to evaluate and compare the results of different methods using ten previously defined and two new criteria which are based on Chebi ontology and Co-expression_of_Enzymes information. This package visualizes the obtained modules via “gephi” software. The ability of this package is that the user can examine whether two metabolites or reactions are in the same module or not. The functionality of the package can be easily extended to include new datasets and criteria. It also has the ability to compare the results of novel methods with the results of previously developed methods. The package is implemented in python and is available at http://eslahchilab.ir/softwares/dmn.
doi_str_mv 10.1016/j.biosystems.2019.104081
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2327383810</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0303264719304460</els_id><sourcerecordid>2327383810</sourcerecordid><originalsourceid>FETCH-LOGICAL-c374t-60c5f82436c704ae2388b5b1540a9d1e80f863750e00f23eccd505e172ea60b33</originalsourceid><addsrcrecordid>eNqFkE1vGyEQhlHVqHbd_oWIYw5dZ4D9wLm5bptEyselPSOWnZVwdpctYFu-5LcHy05yDJdB6HlnmIcQymDOgJWX63ltXdiHiH2Yc2CL9JyDZJ_IlMmKZ1Lw_DOZggCR8TKvJuRrCGtIp5DsC5kIJoVkuZiS59Xy_uHXFV25ftReR7tFqgfd7YMN1LW0x6hr11lDB4w7559ogyaxLtho3UBrHbCh6TJ63Fq3CSnd0EQmfkeNtxG91T-opjusT7Qex9RQH_LfyFmru4DfT3VG_v35_Xd1k909Xt-ulneZEVUesxJM0Uqei9JUkGvkQsq6qFmRg140DCW0shRVAQjQcoHGNAUUyCqOuoRaiBm5OPYdvfu_wRBVb4PBrtMDpk8rLnglDk4gofKIGu9C8Niq0dte-71ioA721Vq921cH--poP0XPT1M2dY_NW_BVdwJ-HgFMu24tehWMxcFgYz2aqBpnP57yAoSwnHU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2327383810</pqid></control><display><type>article</type><title>CAMND: Comparative analysis of metabolic network decomposition based on previous and two new criteria, a web based application</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Yassaee Meybodi, Fatemeh ; Emdadi, Akram ; Rezvan, Abolfazl ; Eslahchi, Changiz</creator><creatorcontrib>Yassaee Meybodi, Fatemeh ; Emdadi, Akram ; Rezvan, Abolfazl ; Eslahchi, Changiz</creatorcontrib><description>Metabolic networks can model the behavior of metabolism in the cell. Since analyzing the whole metabolic networks is not easy, network modulation is an important issue to be investigated. Decomposing metabolic networks is a strategy to obtain better insight into metabolic functions. Additionally, decomposing these networks facilitates using computational methods, which are very slow when applied to the original genome-scale network. Several methods have been proposed for decomposing of the metabolic network. Therefore, it is necessary to evaluate these methods by suitable criteria. In this study, we introduce a web server package for decomposing of metabolic networks with 10 different methods, 9 datasets and the ability of computing 12 criteria, to evaluate and compare the results of different methods using ten previously defined and two new criteria which are based on Chebi ontology and Co-expression_of_Enzymes information. This package visualizes the obtained modules via “gephi” software. The ability of this package is that the user can examine whether two metabolites or reactions are in the same module or not. The functionality of the package can be easily extended to include new datasets and criteria. It also has the ability to compare the results of novel methods with the results of previously developed methods. The package is implemented in python and is available at http://eslahchilab.ir/softwares/dmn.</description><identifier>ISSN: 0303-2647</identifier><identifier>EISSN: 1872-8324</identifier><identifier>DOI: 10.1016/j.biosystems.2019.104081</identifier><identifier>PMID: 31838143</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Criteria ; Decomposition ; Metabolic network ; Package</subject><ispartof>BioSystems, 2020-03, Vol.189, p.104081-104081, Article 104081</ispartof><rights>2019 Elsevier B.V.</rights><rights>Copyright © 2019 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c374t-60c5f82436c704ae2388b5b1540a9d1e80f863750e00f23eccd505e172ea60b33</citedby><cites>FETCH-LOGICAL-c374t-60c5f82436c704ae2388b5b1540a9d1e80f863750e00f23eccd505e172ea60b33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0303264719304460$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31838143$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yassaee Meybodi, Fatemeh</creatorcontrib><creatorcontrib>Emdadi, Akram</creatorcontrib><creatorcontrib>Rezvan, Abolfazl</creatorcontrib><creatorcontrib>Eslahchi, Changiz</creatorcontrib><title>CAMND: Comparative analysis of metabolic network decomposition based on previous and two new criteria, a web based application</title><title>BioSystems</title><addtitle>Biosystems</addtitle><description>Metabolic networks can model the behavior of metabolism in the cell. Since analyzing the whole metabolic networks is not easy, network modulation is an important issue to be investigated. Decomposing metabolic networks is a strategy to obtain better insight into metabolic functions. Additionally, decomposing these networks facilitates using computational methods, which are very slow when applied to the original genome-scale network. Several methods have been proposed for decomposing of the metabolic network. Therefore, it is necessary to evaluate these methods by suitable criteria. In this study, we introduce a web server package for decomposing of metabolic networks with 10 different methods, 9 datasets and the ability of computing 12 criteria, to evaluate and compare the results of different methods using ten previously defined and two new criteria which are based on Chebi ontology and Co-expression_of_Enzymes information. This package visualizes the obtained modules via “gephi” software. The ability of this package is that the user can examine whether two metabolites or reactions are in the same module or not. The functionality of the package can be easily extended to include new datasets and criteria. It also has the ability to compare the results of novel methods with the results of previously developed methods. The package is implemented in python and is available at http://eslahchilab.ir/softwares/dmn.</description><subject>Criteria</subject><subject>Decomposition</subject><subject>Metabolic network</subject><subject>Package</subject><issn>0303-2647</issn><issn>1872-8324</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFkE1vGyEQhlHVqHbd_oWIYw5dZ4D9wLm5bptEyselPSOWnZVwdpctYFu-5LcHy05yDJdB6HlnmIcQymDOgJWX63ltXdiHiH2Yc2CL9JyDZJ_IlMmKZ1Lw_DOZggCR8TKvJuRrCGtIp5DsC5kIJoVkuZiS59Xy_uHXFV25ftReR7tFqgfd7YMN1LW0x6hr11lDB4w7559ogyaxLtho3UBrHbCh6TJ63Fq3CSnd0EQmfkeNtxG91T-opjusT7Qex9RQH_LfyFmru4DfT3VG_v35_Xd1k909Xt-ulneZEVUesxJM0Uqei9JUkGvkQsq6qFmRg140DCW0shRVAQjQcoHGNAUUyCqOuoRaiBm5OPYdvfu_wRBVb4PBrtMDpk8rLnglDk4gofKIGu9C8Niq0dte-71ioA721Vq921cH--poP0XPT1M2dY_NW_BVdwJ-HgFMu24tehWMxcFgYz2aqBpnP57yAoSwnHU</recordid><startdate>202003</startdate><enddate>202003</enddate><creator>Yassaee Meybodi, Fatemeh</creator><creator>Emdadi, Akram</creator><creator>Rezvan, Abolfazl</creator><creator>Eslahchi, Changiz</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>202003</creationdate><title>CAMND: Comparative analysis of metabolic network decomposition based on previous and two new criteria, a web based application</title><author>Yassaee Meybodi, Fatemeh ; Emdadi, Akram ; Rezvan, Abolfazl ; Eslahchi, Changiz</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c374t-60c5f82436c704ae2388b5b1540a9d1e80f863750e00f23eccd505e172ea60b33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Criteria</topic><topic>Decomposition</topic><topic>Metabolic network</topic><topic>Package</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yassaee Meybodi, Fatemeh</creatorcontrib><creatorcontrib>Emdadi, Akram</creatorcontrib><creatorcontrib>Rezvan, Abolfazl</creatorcontrib><creatorcontrib>Eslahchi, Changiz</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>BioSystems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yassaee Meybodi, Fatemeh</au><au>Emdadi, Akram</au><au>Rezvan, Abolfazl</au><au>Eslahchi, Changiz</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CAMND: Comparative analysis of metabolic network decomposition based on previous and two new criteria, a web based application</atitle><jtitle>BioSystems</jtitle><addtitle>Biosystems</addtitle><date>2020-03</date><risdate>2020</risdate><volume>189</volume><spage>104081</spage><epage>104081</epage><pages>104081-104081</pages><artnum>104081</artnum><issn>0303-2647</issn><eissn>1872-8324</eissn><abstract>Metabolic networks can model the behavior of metabolism in the cell. Since analyzing the whole metabolic networks is not easy, network modulation is an important issue to be investigated. Decomposing metabolic networks is a strategy to obtain better insight into metabolic functions. Additionally, decomposing these networks facilitates using computational methods, which are very slow when applied to the original genome-scale network. Several methods have been proposed for decomposing of the metabolic network. Therefore, it is necessary to evaluate these methods by suitable criteria. In this study, we introduce a web server package for decomposing of metabolic networks with 10 different methods, 9 datasets and the ability of computing 12 criteria, to evaluate and compare the results of different methods using ten previously defined and two new criteria which are based on Chebi ontology and Co-expression_of_Enzymes information. This package visualizes the obtained modules via “gephi” software. The ability of this package is that the user can examine whether two metabolites or reactions are in the same module or not. The functionality of the package can be easily extended to include new datasets and criteria. It also has the ability to compare the results of novel methods with the results of previously developed methods. The package is implemented in python and is available at http://eslahchilab.ir/softwares/dmn.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>31838143</pmid><doi>10.1016/j.biosystems.2019.104081</doi><tpages>1</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0303-2647
ispartof BioSystems, 2020-03, Vol.189, p.104081-104081, Article 104081
issn 0303-2647
1872-8324
language eng
recordid cdi_proquest_miscellaneous_2327383810
source Elsevier ScienceDirect Journals Complete
subjects Criteria
Decomposition
Metabolic network
Package
title CAMND: Comparative analysis of metabolic network decomposition based on previous and two new criteria, a web based application
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T20%3A33%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=CAMND:%20Comparative%20analysis%20of%20metabolic%20network%20decomposition%20based%20on%20previous%20and%20two%20new%20criteria,%20a%20web%20based%20application&rft.jtitle=BioSystems&rft.au=Yassaee%20Meybodi,%20Fatemeh&rft.date=2020-03&rft.volume=189&rft.spage=104081&rft.epage=104081&rft.pages=104081-104081&rft.artnum=104081&rft.issn=0303-2647&rft.eissn=1872-8324&rft_id=info:doi/10.1016/j.biosystems.2019.104081&rft_dat=%3Cproquest_cross%3E2327383810%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2327383810&rft_id=info:pmid/31838143&rft_els_id=S0303264719304460&rfr_iscdi=true