杂合基因算法在酵母中间代谢途径代谢通量分析中的应用

TQ92; A scheme of investigating the intracellular metabolic fluxes in central metabolism of Saccharomyces cerevisiae based on isotope model and tracer experiment was developed. The metabolic model applied in this study includes the Embden-Meyerhof-Parnas pathway, the pentose phosphate pathway, the t...

Full description

Saved in:
Bibliographic Details
Published in:中国化学工程学报（英文版） 2007, Vol.15 (2), p.150-156
Main Authors: 张慧敏, 姚善泾
Format: Article
Language:Chinese
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 156
container_issue 2
container_start_page 150
container_title 中国化学工程学报（英文版）
container_volume 15
creator 张慧敏
姚善泾
description TQ92; A scheme of investigating the intracellular metabolic fluxes in central metabolism of Saccharomyces cerevisiae based on isotope model and tracer experiment was developed. The metabolic model applied in this study includes the Embden-Meyerhof-Parnas pathway, the pentose phosphate pathway, the tricarboxylic acid cycle, CO2 anaplerotic reactions, ethanol and acetate formation, and pathways involved in amino acid synthesis. The approach of hybridized genetic algorithm combined with the sequential simplex technique was used to optimize a quadratic error function without the requirement of the information on the partial derivatives. The impact of some key parameters on the algorithm was studied. This approach was proved to be rapid and numerically stable in the analysis of the central metabolism of S.cerevisiae.
format article
fullrecord <record><control><sourceid>wanfang_jour</sourceid><recordid>TN_cdi_wanfang_journals_cjce200702002</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><wanfj_id>cjce200702002</wanfj_id><sourcerecordid>cjce200702002</sourcerecordid><originalsourceid>FETCH-wanfang_journals_cjce2007020023</originalsourceid><addsrcrecordid>eNpjYeA0NDAw0bU0NTHkYOAtLs5MMjAwMzcwNjQ042Twfja36emEjqfzdz2dveD5uunPNk99OmfFy9atz9b3Ptmx9uX0LU92L36xYdHLhilP97XA2LNetvc_7Wh7Nm8CUM3zWS1Pd015PmUFDwNrWmJOcSovlOZmUHVzDXH20C1PzEtLzEuPz8ovLcoDysQnZyWnGhkYmBsACSNjYtUBAITcWBA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>杂合基因算法在酵母中间代谢途径代谢通量分析中的应用</title><source>Elsevier</source><creator>张慧敏 ; 姚善泾</creator><creatorcontrib>张慧敏 ; 姚善泾</creatorcontrib><description>TQ92; A scheme of investigating the intracellular metabolic fluxes in central metabolism of Saccharomyces cerevisiae based on isotope model and tracer experiment was developed. The metabolic model applied in this study includes the Embden-Meyerhof-Parnas pathway, the pentose phosphate pathway, the tricarboxylic acid cycle, CO2 anaplerotic reactions, ethanol and acetate formation, and pathways involved in amino acid synthesis. The approach of hybridized genetic algorithm combined with the sequential simplex technique was used to optimize a quadratic error function without the requirement of the information on the partial derivatives. The impact of some key parameters on the algorithm was studied. This approach was proved to be rapid and numerically stable in the analysis of the central metabolism of S.cerevisiae.</description><identifier>ISSN: 1004-9541</identifier><language>chi</language><publisher>Department of Chemical and Biochemical Engineering,Zhejiang University,Hangzhou 310027,China</publisher><ispartof>中国化学工程学报（英文版）, 2007, Vol.15 (2), p.150-156</ispartof><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/cjce/cjce.jpg</thumbnail><link.rule.ids>314,780,784,4024</link.rule.ids></links><search><creatorcontrib>张慧敏</creatorcontrib><creatorcontrib>姚善泾</creatorcontrib><title>杂合基因算法在酵母中间代谢途径代谢通量分析中的应用</title><title>中国化学工程学报（英文版）</title><description>TQ92; A scheme of investigating the intracellular metabolic fluxes in central metabolism of Saccharomyces cerevisiae based on isotope model and tracer experiment was developed. The metabolic model applied in this study includes the Embden-Meyerhof-Parnas pathway, the pentose phosphate pathway, the tricarboxylic acid cycle, CO2 anaplerotic reactions, ethanol and acetate formation, and pathways involved in amino acid synthesis. The approach of hybridized genetic algorithm combined with the sequential simplex technique was used to optimize a quadratic error function without the requirement of the information on the partial derivatives. The impact of some key parameters on the algorithm was studied. This approach was proved to be rapid and numerically stable in the analysis of the central metabolism of S.cerevisiae.</description><issn>1004-9541</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNpjYeA0NDAw0bU0NTHkYOAtLs5MMjAwMzcwNjQ042Twfja36emEjqfzdz2dveD5uunPNk99OmfFy9atz9b3Ptmx9uX0LU92L36xYdHLhilP97XA2LNetvc_7Wh7Nm8CUM3zWS1Pd015PmUFDwNrWmJOcSovlOZmUHVzDXH20C1PzEtLzEuPz8ovLcoDysQnZyWnGhkYmBsACSNjYtUBAITcWBA</recordid><startdate>2007</startdate><enddate>2007</enddate><creator>张慧敏</creator><creator>姚善泾</creator><general>Department of Chemical and Biochemical Engineering,Zhejiang University,Hangzhou 310027,China</general><general>Chemical Engineering Department,Jiaxing University,Jiaxing 314000,China%Chemical Engineering Department,Jiaxing University,Jiaxing 314000,China</general><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>2007</creationdate><title>杂合基因算法在酵母中间代谢途径代谢通量分析中的应用</title><author>张慧敏 ; 姚善泾</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-wanfang_journals_cjce2007020023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi</language><creationdate>2007</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>张慧敏</creatorcontrib><creatorcontrib>姚善泾</creatorcontrib><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>中国化学工程学报（英文版）</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>张慧敏</au><au>姚善泾</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>杂合基因算法在酵母中间代谢途径代谢通量分析中的应用</atitle><jtitle>中国化学工程学报（英文版）</jtitle><date>2007</date><risdate>2007</risdate><volume>15</volume><issue>2</issue><spage>150</spage><epage>156</epage><pages>150-156</pages><issn>1004-9541</issn><abstract>TQ92; A scheme of investigating the intracellular metabolic fluxes in central metabolism of Saccharomyces cerevisiae based on isotope model and tracer experiment was developed. The metabolic model applied in this study includes the Embden-Meyerhof-Parnas pathway, the pentose phosphate pathway, the tricarboxylic acid cycle, CO2 anaplerotic reactions, ethanol and acetate formation, and pathways involved in amino acid synthesis. The approach of hybridized genetic algorithm combined with the sequential simplex technique was used to optimize a quadratic error function without the requirement of the information on the partial derivatives. The impact of some key parameters on the algorithm was studied. This approach was proved to be rapid and numerically stable in the analysis of the central metabolism of S.cerevisiae.</abstract><pub>Department of Chemical and Biochemical Engineering,Zhejiang University,Hangzhou 310027,China</pub></addata></record>
fulltext fulltext
identifier ISSN: 1004-9541
ispartof 中国化学工程学报（英文版）, 2007, Vol.15 (2), p.150-156
issn 1004-9541
language chi
recordid cdi_wanfang_journals_cjce200702002
source Elsevier
title 杂合基因算法在酵母中间代谢途径代谢通量分析中的应用
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T17%3A18%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wanfang_jour&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=%E6%9D%82%E5%90%88%E5%9F%BA%E5%9B%A0%E7%AE%97%E6%B3%95%E5%9C%A8%E9%85%B5%E6%AF%8D%E4%B8%AD%E9%97%B4%E4%BB%A3%E8%B0%A2%E9%80%94%E5%BE%84%E4%BB%A3%E8%B0%A2%E9%80%9A%E9%87%8F%E5%88%86%E6%9E%90%E4%B8%AD%E7%9A%84%E5%BA%94%E7%94%A8&rft.jtitle=%E4%B8%AD%E5%9B%BD%E5%8C%96%E5%AD%A6%E5%B7%A5%E7%A8%8B%E5%AD%A6%E6%8A%A5%EF%BC%88%E8%8B%B1%E6%96%87%E7%89%88%EF%BC%89&rft.au=%E5%BC%A0%E6%85%A7%E6%95%8F&rft.date=2007&rft.volume=15&rft.issue=2&rft.spage=150&rft.epage=156&rft.pages=150-156&rft.issn=1004-9541&rft_id=info:doi/&rft_dat=%3Cwanfang_jour%3Ecjce200702002%3C/wanfang_jour%3E%3Cgrp_id%3Ecdi_FETCH-wanfang_journals_cjce2007020023%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_wanfj_id=cjce200702002&rfr_iscdi=true