The Role of Predictive Modelling in Rationally Re-engineering Biological Systems
Overview
Microbiology
Authors
Affiliations
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.
Plante M Front Bioeng Biotechnol. 2023; 11:1266298.
PMID: 38053845 PMC: 10694798. DOI: 10.3389/fbioe.2023.1266298.
Unraveling interactions in microbial communities - from co-cultures to microbiomes.
Tan J, Zuniga C, Zengler K J Microbiol. 2015; 53(5):295-305.
PMID: 25935300 DOI: 10.1007/s12275-015-5060-1.
RobOKoD: microbial strain design for (over)production of target compounds.
Stanford N, Millard P, Swainston N Front Cell Dev Biol. 2015; 3:17.
PMID: 25853130 PMC: 4371745. DOI: 10.3389/fcell.2015.00017.
Synthetic biology approaches to improve biocatalyst identification in metagenomic library screening.
Guazzaroni M, Silva-Rocha R, Ward R Microb Biotechnol. 2014; 8(1):52-64.
PMID: 25123225 PMC: 4321373. DOI: 10.1111/1751-7915.12146.
Biosensor architectures for high-fidelity reporting of cellular signaling.
Dushek O, Lellouch A, Vaux D, Shahrezaei V Biophys J. 2014; 107(3):773-782.
PMID: 25099816 PMC: 4129486. DOI: 10.1016/j.bpj.2014.06.021.