{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,7,27]],"date-time":"2023-07-27T17:57:54Z","timestamp":1690480674619},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"1","content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Res Notes"],"published-print":{"date-parts":[[2013,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Background<\/jats:title>\n            <jats:p>Rational approaches for Metabolic Engineering (ME) deal with the identification of modifications that improve the microbes\u2019 production capabilities of target compounds. One of the major challenges created by strain optimization algorithms used in these ME problems is the interpretation of the changes that lead to a given overproduction. Often, a single gene knockout induces changes in the fluxes of several reactions, as compared with the wild-type, and it is therefore difficult to evaluate the physiological differences of the <jats:italic>in silico<\/jats:italic> mutant. This is aggravated by the fact that genome-scale models <jats:italic>per se<\/jats:italic> are difficult to visualize, given the high number of reactions and metabolites involved.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Findings<\/jats:title>\n            <jats:p>We introduce a software tool, the Topological Network Analysis for OptFlux (TNA4OptFlux), a plug-in which adds to the open-source ME platform OptFlux the capability of creating and performing topological analysis over metabolic networks. One of the tool\u2019s major advantages is the possibility of using these tools in the analysis and comparison of simulated phenotypes, namely those coming from the results of strain optimization algorithms. We illustrate the capabilities of the tool by using it to aid the interpretation of two <jats:italic>E. coli<\/jats:italic> strains designed in OptFlux for the overproduction of succinate and glycine.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p>Besides adding new functionalities to the OptFlux software tool regarding topological analysis, TNA4OptFlux methods greatly facilitate the interpretation of non-intuitive ME strategies by automating the comparison between perturbed and non-perturbed metabolic networks. The plug-in is available on the web site <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/www.optflux.org\" ext-link-type=\"uri\">http:\/\/www.optflux.org<\/jats:ext-link>, together with extensive documentation.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1756-0500-6-175","type":"journal-article","created":{"date-parts":[[2013,5,3]],"date-time":"2013-05-03T14:36:12Z","timestamp":1367591772000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["TNA4OptFlux \u2013 a software tool for the analysis of strain optimization strategies"],"prefix":"10.1186","volume":"6","author":[{"given":"Jos\u00e9 P","family":"Pinto","sequence":"first","affiliation":[]},{"given":"Rui","family":"Pereira","sequence":"additional","affiliation":[]},{"given":"Jo\u00e3o","family":"Cardoso","sequence":"additional","affiliation":[]},{"given":"Isabel","family":"Rocha","sequence":"additional","affiliation":[]},{"given":"Miguel","family":"Rocha","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,5,3]]},"reference":[{"key":"2206_CR1","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1186\/1752-0509-4-45","volume":"4","author":"I Rocha","year":"2010","unstructured":"Rocha I, Maia P, Evangelista P, Vila\u00e7a P, Soares S, Pinto JP, Nielsen J, Patil KR, Ferreira EC, Rocha M: OptFlux: an open-source software platform for in silico metabolic engineering. 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