A review of metabolic and enzymatic engineering strategies for designing and optimizing performance of microbial cell factories

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dc.contributor.authorFisher, A. K.en
dc.contributor.authorFreedman, B. G.en
dc.contributor.authorBevan, David R.en
dc.contributor.authorSenger, Ryan S.en
dc.contributor.departmentBiochemistryen
dc.contributor.departmentBiological Systems Engineeringen
dc.coverage.countrySwedenen
dc.date.accessioned2016-12-23T14:37:18Zen
dc.date.available2016-12-23T14:37:18Zen
dc.date.issued2014-08en
dc.description.abstractMicrobial cell factories (MCFs) are of considerable interest to convert low value renewable substrates to biofuels and high value chemicals. This review highlights the progress of computational models for the rational design of an MCF to produce a target bio-commodity. In particular, the rational design of an MCF involves: (i) product selection, (ii) de novo biosynthetic pathway identification (i.e., rational, heterologous, or artificial), (iii) MCF chassis selection, (iv) enzyme engineering of promiscuity to enable the formation of new products, and (v) metabolic engineering to ensure optimal use of the pathway by the MCF host. Computational tools such as (i) de novo biosynthetic pathway builders, (ii) docking, (iii) molecular dynamics (MD) and steered MD (SMD), and (iv) genome-scale metabolic flux modeling all play critical roles in the rational design of an MCF. Genome-scale metabolic flux models are of considerable use to the design process since they can reveal metabolic capabilities of MCF hosts. These can be used for host selection as well as optimizing precursors and cofactors of artificial de novo biosynthetic pathways. In addition, recent advances in genome-scale modeling have enabled the derivation of metabolic engineering strategies, which can be implemented using the genomic tools reviewed here as well.en
dc.description.versionPublished versionen
dc.format.extent91 - 99 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1016/j.csbj.2014.08.010en
dc.identifier.issue18en
dc.identifier.urihttp://hdl.handle.net/10919/73808en
dc.identifier.volume11en
dc.language.isoenen
dc.relation.urihttp://www.ncbi.nlm.nih.gov/pubmed/25379147en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectDockingen
dc.subjectEnzyme engineeringen
dc.subjectGenome-scale modelen
dc.subjectMetabolic engineeringen
dc.subjectMicrobial cell factoryen
dc.subjectMolecular dynamicsen
dc.titleA review of metabolic and enzymatic engineering strategies for designing and optimizing performance of microbial cell factoriesen
dc.title.serialComputational and Structural Biotechnology Journalen
dc.typeArticle - Refereeden
dc.typeReviewen
dc.type.dcmitypeTexten
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciencesen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/Biochemistryen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/Biological Systems Engineeringen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/CALS T&R Facultyen
pubs.organisational-group/Virginia Tech/All T&R Facultyen

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