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PMID: 19252506 Published · ppublish English Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S. Review

The role of predictive modelling in rationally re-engineering biological systems.

Nature reviews. Microbiology ·Vol. 7 ·No. 4 ·2009-00-00 ·Pages 297-305

Koide T, Pang WL, Baliga NS

Abstract

Technologies to synthesize and transplant a complete genome into a cell have opened limitless potential to redesign organisms for complex, specialized tasks. However, large-scale re-engineering of a biological circuit will require systems-level optimization that will come from a deep understanding of operational relationships among all the constituent parts of a cell. The integrated framework necessary for conducting such complex bioengineering requires the convergence of systems and synthetic biology. Here, we review the status of these rapidly developing interdisciplinary fields of biology and provide a perspective on plausible venues for their merger.

MeSH Terms
Biotechnology/methods Models, Biological Systems Biology/methods
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Koide Tie
Institute for Systems Biology, 1441 N 34th Street, Seattle, Washington 98103, USA.
Pang Wyming Lee
Baliga Nitin S
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Article Info
Journal
Nature reviews. Microbiology
Abbr.
Nat Rev Microbiol
ISSN
1740-1534
DOI
10.1038/nrmicro2107
Published
2009-00-00
Epub
2009-00-02
Pages
297-305
Language
English
Region
England
NLM ID
101190261
PMCID
PMC2734281
Subset
IM
Grants
NIGMS NIH HHS · P50GM076547 · United States
NIGMS NIH HHS · 1R01GM077398-01A2 · United States
NIGMS NIH HHS · P50 GM076547 · United States
NIGMS NIH HHS · R01 GM077398 · United States
NIGMS NIH HHS · R01 GM077398-01A2 · United States
External Links
PubMed source DOI: 10.1038/nrmicro2107 PMC Full Text View journal details
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