Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/38716

TitleIn silico constraint-based strain optimization methods: the quest for optimal cell factories
Author(s)Silva, P.
Rocha, Miguel
Rocha, I.
Issue dateMar-2016
PublisherAmerican Society for Microbiology (ASM)
JournalMicrobiology and Molecular Biology Reviews
CitationSilva, P.; Rocha, Miguel; Rocha, I., In silico constraint-based strain optimization methods: the quest for optimal cell factories. Microbiology and Molecular Biology Reviews, 80(1), 45-67, 2016
Abstract(s)Shifting from chemical to biotechnological processes is one of the cornerstones of 21st century industry. The production of a great range of chemicals via biotechnological means is a key challenge on the way toward a bio-based economy. However, this shift is occurring at a pace slower than initially expected. The development of efficient cell factories that allow for competitive production yields is of paramount importance for this leap to happen. Constraint-based models of metabolism, together with in silico strain design algorithms, promise to reveal insights into the best genetic design strategies, a step further toward achieving that goal. In this work, a thorough analysis of the main in silico constraint-based strain design strategies and algorithms is presented, their application in real-world case studies is analyzed, and a path for the future is discussed.
TypeArticle
URIhttp://hdl.handle.net/1822/38716
DOI10.1128/MMBR.00014-15
ISSN1092-2172
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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