Journal
MICROBIOLOGY AND MOLECULAR BIOLOGY REVIEWS
Volume 80, Issue 1, Pages 45-67Publisher
AMER SOC MICROBIOLOGY
DOI: 10.1128/MMBR.00014-15
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Funding
- Portuguese Science Foundation (FCT) [SFRH/BD/61465/2009]
- FCT - Programa Operacional Regional do Norte (ON.2-O Novo Norte) [UID/BIO/04469/2013, RECI/BBB-EBI/0179/2012 (FCOMP-01-0124-FEDER-027462), NORTE-07-0124-FEDER-000028]
- project DeYeastLib-Designer Yeast Strain Library Optimized for Metabolic Engineering Applications - national funds through FCT/MCTES [ERA-IB-2/0003/2013]
- QREN
- FEDER
- Fundação para a Ciência e a Tecnologia [ERA-IB-2/0003/2013, SFRH/BD/61465/2009] Funding Source: FCT
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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.
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