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SelProm: A Queryable and Predictive Expression Vector Selection Tool for Escherichia coli
Author(s) -
Adrian J. Jervis,
Pablo Carbonell,
Sandra Taylor,
Rehana Sung,
Mark S. Dunstan,
Christopher Robinson,
Rainer Breitling,
Eriko Takano,
Nigel S. Scrutton
Publication year - 2019
Publication title -
acs synthetic biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.156
H-Index - 66
ISSN - 2161-5063
DOI - 10.1021/acssynbio.8b00399
Subject(s) - plasmid , software portability , computational biology , escherichia coli , expression vector , reporter gene , biology , gene , expression (computer science) , gene expression , computer science , recombinant dna , genetics , programming language
The rapid prototyping and optimization of plasmid-based recombinant gene expression is one of the key steps in the development of bioengineered bacterial systems. Often, multiple genes or gene modules need to be coexpressed, and for this purpose compatible, inducible plasmid systems have been developed. However, inducible expression systems are not favored in industrial processes, due to their prohibitive cost, and consequently the conversion to constitutive expression systems is often desired. Here we present a set of constitutive-expression plasmids for this purpose, which were benchmarked using fluorescent reporter genes. To further facilitate the conversion between inducible and constitutive expression systems, we developed SelProm, a design tool that serves as a parts repository of plasmid expression strength and predicts portability rules between constitutive and inducible plasmids through model comparison and machine learning. The SelProm tool is freely available at http://selprom.synbiochem.co.uk .

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