Efficient search, mapping, and optimization of multi-protein genetic systems in diverse bacteria.

ABSTRACT: Developing predictive models of multi-protein genetic systems to understand and optimize their behavior remains a combinatorial challenge, particularly when measurement throughput is limited. We developed a computational approach to build predictive models and identify optimal sequences and expression levels, while circumventing combinatorial explosion. Maximally informative genetic system variants were first designed by the RBS Library Calculator, an algorithm to design sequences for efficiently searching a multi-protein expression space across a > 10,000-fold range with tailored search parameters and well-predicted translation rates. We validated the algorithm's predictions by characterizing 646 genetic system variants, encoded in plasmids and genomes, expressed in six gram-positive and

SUBMITTER: Farasat I 

PROVIDER: S-EPMC4265053 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature