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Furthering genome design using models and algorithms

delete2020-12-01
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OA
AI
J
Joshua Rees-Garbutt
J
Jake Rightmyer
J
Jonathan R. Karr *
C
Claire Grierson *
L
Lucia Marucci *
DOI:10.1016/j.coisb.2020.10.007delete
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Abstract

Abstract

En 中文
Large-scale in silico genome designs are on the brink of being engineered in vivo, offering a potential paradigm shift for cellular research (previous designs relied on fractured avail-able knowledge and in vivo engineering iteration) by inte-grating computational design, in silico models and algorithms, with laboratory construction. However, several challenges remain. If in vivo engineering is successful, designing ge-nomes can be used to gain new understanding of cellular life, improve the metabolite production process and reduce the risk of unintended genetic modification and release. Here, we review the progress so far. We suggest improvements on recent models and algorithms, illustrate the next steps for integrating computational and laboratory engineering and offer our opinions on the future of the field.
Keywords:
Genome-scale design
Genome-scale engineering
Algorithms
Wholecell models
Insilico
Minimal genomes
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Journal

Current Opinion in Systems Biology cover
Current Opinion in Systems Biology
IF:
2.2
Papers:
230
Citations:
1.1K

Organization

I
Icahn School of Medicine at Mount Sinai
Scholars:
4.6W
Papers: 3.4W
Citations: 58
U
University of Bristol
Scholars:
3.1W
Papers: 3.0W
Citations: 5.3W