{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,21]],"date-time":"2025-09-21T17:15:42Z","timestamp":1758474942392},"reference-count":23,"publisher":"Oxford University Press (OUP)","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007,5,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Motivation: Elementary modes (EMs) analysis has been well established. The existing methodologies for assigning weights to EMs cannot be directly applied for large-scale metabolic networks, since the tremendous number of modes would make the computation a time-consuming or even an impossible mission. Therefore, developing more efficient methods to deal with large set of EMs is urgent.<\/jats:p><jats:p>Result: We develop a method to evaluate the performance of employing a subset of the elementary modes to reconstruct a real flux distribution by using the relative error between the real flux vector and the reconstructed one as an indicator. We have found a power function relationship between the decrease of relative error and the increase of the number of the selecting EMs, and a logarithmic relationship between the increases of the number of non-zero weighted EMs and that of the number of the selecting EMs. Our discoveries show that it is possible to reconstruct a given flux distribution by a selected subset of EMs from a large metabolic network and furthermore, they help us identify the \u2018governing modes\u2019 to represent the cellular metabolism for such a condition.<\/jats:p><jats:p>Contact: \u00a0diana_kingson@yahoo.com.cn(or) Wangqingzhao@eyou.com<\/jats:p><jats:p>Supplementary information: Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btm074","type":"journal-article","created":{"date-parts":[[2007,3,7]],"date-time":"2007-03-07T03:01:32Z","timestamp":1173236492000},"page":"1049-1052","source":"Crossref","is-referenced-by-count":8,"title":["Metabolic network properties help assign weights to elementary modes to understand physiological flux distributions"],"prefix":"10.1093","volume":"23","author":[{"given":"Qingzhao","family":"Wang","sequence":"first","affiliation":[{"name":"Metabolic Engineering Laboratory, Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yudi","family":"Yang","sequence":"additional","affiliation":[{"name":"Metabolic Engineering Laboratory, Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongwu","family":"Ma","sequence":"additional","affiliation":[{"name":"Metabolic Engineering Laboratory, Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueming","family":"Zhao","sequence":"additional","affiliation":[{"name":"Metabolic Engineering Laboratory, Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2007,3,6]]},"reference":[{"key":"2023041209112892700_","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1186\/1471-2105-7-132","article-title":"Network-level analysis of metabolic regulation in the human red blood cell using random sampling and singular value decomposition","volume":"7","author":"Barrett","year":"2006","journal-title":"BMC Bioinformatics"},{"key":"2023041209112892700_","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1002\/bit.10305","article-title":"Metabolic pathway analysis of a recombinant yeast for rational strain development","volume":"79","author":"Carlson","year":"2002","journal-title":"Biotechnol. 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