HEMET: Mathematical model of biochemical pathways for simulation and prediction of HEpatocyte METabolism
Abstract Many computer studies and models have been developed in order to simulate cell biochemical pathways. The difficulty of integrating all the biochemical reactions that occur in a cell in a single model is the main reason for the poor results in the prediction and simulation of cell behaviour...
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Veröffentlicht in: | Computer methods and programs in biomedicine 2008-10, Vol.92 (1), p.121-134 |
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creator | De Maria, C Grassini, D Vozzi, F Vinci, B Landi, A Ahluwalia, A Vozzi, G |
description | Abstract Many computer studies and models have been developed in order to simulate cell biochemical pathways. The difficulty of integrating all the biochemical reactions that occur in a cell in a single model is the main reason for the poor results in the prediction and simulation of cell behaviour under different chemical and physical stimuli. In this paper we have translated biochemical reactions into differential equations for the development of modular model of metabolism of a hepatocyte cultured in static and standard conditions (in a plastic multiwell placed in an incubator at 37 °C with 5% of CO2 ). Using biochemical equations and energetic considerations a set of non-linear differential equations has been derived and implemented in Simulink® . This set of equations mimics some of the principal metabolic pathways of biomolecules present in the culture medium. The software platform developed is subdivided into separate modules, each one describing a different metabolic pathway; they constitute a library which can be used for developing new modules and models to project, predict and validate cell behaviour in vitro. |
doi_str_mv | 10.1016/j.cmpb.2008.06.004 |
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The difficulty of integrating all the biochemical reactions that occur in a cell in a single model is the main reason for the poor results in the prediction and simulation of cell behaviour under different chemical and physical stimuli. In this paper we have translated biochemical reactions into differential equations for the development of modular model of metabolism of a hepatocyte cultured in static and standard conditions (in a plastic multiwell placed in an incubator at 37 °C with 5% of CO2 ). Using biochemical equations and energetic considerations a set of non-linear differential equations has been derived and implemented in Simulink® . This set of equations mimics some of the principal metabolic pathways of biomolecules present in the culture medium. The software platform developed is subdivided into separate modules, each one describing a different metabolic pathway; they constitute a library which can be used for developing new modules and models to project, predict and validate cell behaviour in vitro.</description><identifier>ISSN: 0169-2607</identifier><identifier>EISSN: 1872-7565</identifier><identifier>DOI: 10.1016/j.cmpb.2008.06.004</identifier><identifier>PMID: 18640740</identifier><language>eng</language><publisher>Ireland: Elsevier Ireland Ltd</publisher><subject>Algorithms ; Biochemical equations ; Cell model ; Cells, Cultured ; Computer Simulation ; Dynamic systems ; Hepatocyte ; Hepatocytes - metabolism ; Humans ; Internal Medicine ; Metabolism ; Metabolome - physiology ; Models, Biological ; Other ; Proteome - metabolism ; Signal Transduction - physiology ; Software</subject><ispartof>Computer methods and programs in biomedicine, 2008-10, Vol.92 (1), p.121-134</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2008 Elsevier Ireland Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c440t-91e6d607f7780b0b0753549a84488972e8b8c46dac7dfd92a01002f1e9a44c9c3</citedby><cites>FETCH-LOGICAL-c440t-91e6d607f7780b0b0753549a84488972e8b8c46dac7dfd92a01002f1e9a44c9c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0169260708001557$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18640740$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>De Maria, C</creatorcontrib><creatorcontrib>Grassini, D</creatorcontrib><creatorcontrib>Vozzi, F</creatorcontrib><creatorcontrib>Vinci, B</creatorcontrib><creatorcontrib>Landi, A</creatorcontrib><creatorcontrib>Ahluwalia, A</creatorcontrib><creatorcontrib>Vozzi, G</creatorcontrib><title>HEMET: Mathematical model of biochemical pathways for simulation and prediction of HEpatocyte METabolism</title><title>Computer methods and programs in biomedicine</title><addtitle>Comput Methods Programs Biomed</addtitle><description>Abstract Many computer studies and models have been developed in order to simulate cell biochemical pathways. The difficulty of integrating all the biochemical reactions that occur in a cell in a single model is the main reason for the poor results in the prediction and simulation of cell behaviour under different chemical and physical stimuli. In this paper we have translated biochemical reactions into differential equations for the development of modular model of metabolism of a hepatocyte cultured in static and standard conditions (in a plastic multiwell placed in an incubator at 37 °C with 5% of CO2 ). Using biochemical equations and energetic considerations a set of non-linear differential equations has been derived and implemented in Simulink® . This set of equations mimics some of the principal metabolic pathways of biomolecules present in the culture medium. The software platform developed is subdivided into separate modules, each one describing a different metabolic pathway; they constitute a library which can be used for developing new modules and models to project, predict and validate cell behaviour in vitro.</description><subject>Algorithms</subject><subject>Biochemical equations</subject><subject>Cell model</subject><subject>Cells, Cultured</subject><subject>Computer Simulation</subject><subject>Dynamic systems</subject><subject>Hepatocyte</subject><subject>Hepatocytes - metabolism</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Metabolism</subject><subject>Metabolome - physiology</subject><subject>Models, Biological</subject><subject>Other</subject><subject>Proteome - metabolism</subject><subject>Signal Transduction - physiology</subject><subject>Software</subject><issn>0169-2607</issn><issn>1872-7565</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFks1u1DAUhS0EokPLC7BAWbFLuE4c_yCEhKqhg9SKRcvacpwb1UMSBzuhmrev0xmpEguQF5avvnNkn2NC3lEoKFD-cV_YYWqKEkAWwAsA9oJsqBRlLmpevySbBKm85CDOyJsY9wBQ1jV_Tc6o5AwEgw25321vtnefshsz3-NgZmdNnw2-xT7zXdY4b9P4aTgl4sEcYtb5kEU3LH2i_ZiZsc2mgK2zT8ek2m0T6-1hxix5m8b3Lg4X5FVn-ohvT_s5-flte3e5y69_XH2__HqdW8ZgzhVF3qYbd0JIaNISdVUzZSRjUipRomykZbw1VrRdq0oDNL2qo6gMY1bZ6px8OPpOwf9eMM56cNFi35sR_RI1V0xWnIr_glRVVc2VTGB5BG3wMQbs9BTcYMJBU9BrEXqv1yL0WoQGrlMRSfT-5L40A7bPklPyCfh8BDCF8cdh0NE6HG0KMqCddevdv_2__CW3vRvXon7hAePeL2FMMWuqY6lB365fYf0JIAFoXYvqEcjhriI</recordid><startdate>20081001</startdate><enddate>20081001</enddate><creator>De Maria, C</creator><creator>Grassini, D</creator><creator>Vozzi, F</creator><creator>Vinci, B</creator><creator>Landi, A</creator><creator>Ahluwalia, A</creator><creator>Vozzi, G</creator><general>Elsevier Ireland Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20081001</creationdate><title>HEMET: Mathematical model of biochemical pathways for simulation and prediction of HEpatocyte METabolism</title><author>De Maria, C ; Grassini, D ; Vozzi, F ; Vinci, B ; Landi, A ; Ahluwalia, A ; Vozzi, G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c440t-91e6d607f7780b0b0753549a84488972e8b8c46dac7dfd92a01002f1e9a44c9c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Algorithms</topic><topic>Biochemical equations</topic><topic>Cell model</topic><topic>Cells, Cultured</topic><topic>Computer Simulation</topic><topic>Dynamic systems</topic><topic>Hepatocyte</topic><topic>Hepatocytes - metabolism</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Metabolism</topic><topic>Metabolome - physiology</topic><topic>Models, Biological</topic><topic>Other</topic><topic>Proteome - metabolism</topic><topic>Signal Transduction - physiology</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>De Maria, C</creatorcontrib><creatorcontrib>Grassini, D</creatorcontrib><creatorcontrib>Vozzi, F</creatorcontrib><creatorcontrib>Vinci, B</creatorcontrib><creatorcontrib>Landi, A</creatorcontrib><creatorcontrib>Ahluwalia, A</creatorcontrib><creatorcontrib>Vozzi, G</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Computer methods and programs in biomedicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>De Maria, C</au><au>Grassini, D</au><au>Vozzi, F</au><au>Vinci, B</au><au>Landi, A</au><au>Ahluwalia, A</au><au>Vozzi, G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>HEMET: Mathematical model of biochemical pathways for simulation and prediction of HEpatocyte METabolism</atitle><jtitle>Computer methods and programs in biomedicine</jtitle><addtitle>Comput Methods Programs Biomed</addtitle><date>2008-10-01</date><risdate>2008</risdate><volume>92</volume><issue>1</issue><spage>121</spage><epage>134</epage><pages>121-134</pages><issn>0169-2607</issn><eissn>1872-7565</eissn><abstract>Abstract Many computer studies and models have been developed in order to simulate cell biochemical pathways. 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subjects | Algorithms Biochemical equations Cell model Cells, Cultured Computer Simulation Dynamic systems Hepatocyte Hepatocytes - metabolism Humans Internal Medicine Metabolism Metabolome - physiology Models, Biological Other Proteome - metabolism Signal Transduction - physiology Software |
title | HEMET: Mathematical model of biochemical pathways for simulation and prediction of HEpatocyte METabolism |
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