{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T23:26:04Z","timestamp":1725578764591},"publisher-location":"Berlin, Heidelberg","reference-count":11,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642199134"},{"type":"electronic","value":"9783642199141"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"DOI":"10.1007\/978-3-642-19914-1_43","type":"book-chapter","created":{"date-parts":[[2011,3,9]],"date-time":"2011-03-09T16:13:24Z","timestamp":1299687204000},"page":"329-336","source":"Crossref","is-referenced-by-count":0,"title":["A Study on the Robustness of Strain Optimization Algorithms"],"prefix":"10.1007","author":[{"given":"Paulo","family":"Vila\u00e7a","sequence":"first","affiliation":[]},{"given":"Paulo","family":"Maia","sequence":"additional","affiliation":[]},{"given":"Miguel","family":"Rocha","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"43_CR1","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1038\/nature01149","volume":"420","author":"R.U. Ibarra","year":"2002","unstructured":"Ibarra, R.U., Edwards, J.S., Palsson, B.G.: Escherichia coli k-12 undergoes adaptive evolution to achieve in silico predicted optimal growth. Nature\u00a0420, 186\u2013189 (2002)","journal-title":"Nature"},{"key":"43_CR2","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1016\/j.copbio.2003.08.001","volume":"14","author":"K.J. Kauffman","year":"2003","unstructured":"Kauffman, K.J., Prakash, P., Edwards, J.S.: Advances in flux balance analysis. Curr. Opin. Biotechnol.\u00a014, 491\u2013496 (2003)","journal-title":"Curr. Opin. Biotechnol."},{"key":"43_CR3","first-page":"214","volume":"13","author":"S.Y. Lee","year":"2002","unstructured":"Lee, S.Y., Hong, S.H., Moon, S.Y.: In silico metabolic pathway analysis and design: succinic acid production by metabolically engineered escherichia coli as an example. Genome Informatics\u00a013, 214\u2013223 (2002)","journal-title":"Genome Informatics"},{"key":"43_CR4","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/s002530000511","volume":"55","author":"J. Nielsen","year":"2001","unstructured":"Nielsen, J.: Metabolic engineering. Appl. Microbiol. Biotechnol.\u00a055, 263\u2013283 (2001)","journal-title":"Appl. Microbiol. Biotechnol."},{"key":"43_CR5","doi-asserted-by":"crossref","unstructured":"Patil, K., Rocha, I., Forster, J., Nielsen, J.: Evolutionary programming as a platform for in silico metabolic engineering. BMC Bioinformatics\u00a06(308) (2005)","DOI":"10.1186\/1471-2105-6-308"},{"key":"43_CR6","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.copbio.2003.11.003","volume":"15","author":"K.R. Patil","year":"2004","unstructured":"Patil, K.R., Akesson, M., Nielsen, J.: Use of genome-scale microbial models for metabolic engineering. Curr. Opin. Biotechnol.\u00a015, 64\u201369 (2004)","journal-title":"Curr. Opin. Biotechnol."},{"issue":"9","key":"43_CR7","first-page":"1","volume":"4","author":"J.L. Reed","year":"2003","unstructured":"Reed, J.L., Vo, T.D., Schilling, C.H., Palsson, B.O.: An expanded genome-scale model of escherichia coli k-12 (ijr904 gsm\/gpr). Genome Biology\u00a04(9), R54.1\u2013R54.12 (2003)","journal-title":"Genome Biology"},{"key":"43_CR8","doi-asserted-by":"crossref","unstructured":"Rocha, I., Maia, P., Evangelista, P., Vilaa, P., Soares, S., Pinto, J.P., Nielsen, J., Patil, K.R., Ferreira, E.C., Rocha, M.: Optflux: an open-source software platform for in silico metabolic engineering. BMC Systems Biology\u00a04(45) (2010)","DOI":"10.1186\/1752-0509-4-45"},{"key":"43_CR9","doi-asserted-by":"crossref","unstructured":"Rocha, M., Maia, P., Mendes, R., Pinto, J.P., Ferreira, E.C., Nielsen, J., Patil, K.R., Rocha, I.: Natural computation meta-heuristics for the in silico optimization of microbial strains. BMC Bioinformatics\u00a09 (2008)","DOI":"10.1186\/1471-2105-9-499"},{"issue":"21","key":"43_CR10","doi-asserted-by":"publisher","first-page":"7695","DOI":"10.1073\/pnas.0406346102","volume":"102","author":"T. Shlomi","year":"2005","unstructured":"Shlomi, T., Berkman, O., Ruppin, E.: Regulatory on\/off minimization of metabolic flux changes after genetic perturbations. PNAS\u00a0102(21), 7695\u20137700 (2005)","journal-title":"PNAS"},{"key":"43_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/978-3-642-12211-8_18","volume-title":"Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics","author":"P. Vila\u00e7a","year":"2010","unstructured":"Vila\u00e7a, P., Maia, P., Rocha, I., Rocha, M.: Metaheuristics for strain optimization using transcriptional information enriched metabolic models. In: Pizzuti, C., Ritchie, M.D., Giacobini, M. (eds.) EvoBIO 2010. LNCS, vol.\u00a06023, pp. 205\u2013216. Springer, Heidelberg (2010)"}],"container-title":["Advances in Intelligent and Soft Computing","5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2011)"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-19914-1_43.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,24]],"date-time":"2020-11-24T02:53:57Z","timestamp":1606186437000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-19914-1_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642199134","9783642199141"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-19914-1_43","relation":{},"ISSN":["1867-5662","1867-5670"],"issn-type":[{"type":"print","value":"1867-5662"},{"type":"electronic","value":"1867-5670"}],"subject":[],"published":{"date-parts":[[2011]]}}}