Journal article
Bridging the Gap: A Roadmap to Breaking the Biological Design Barrier
Frontiers in bioengineering and biotechnology, Vol.2, pp.87-87
01/20/2015
DOI: 10.3389/fbioe.2014.00087
PMCID: PMC4299508
PMID: 25654077
Abstract
This paper presents an analysis of an emerging bottleneck in organism engineering, and paths by which it may be overcome. Recent years have seen the development of a profusion of synthetic biology tools, largely falling into two categories: high-level “design” tools aimed at mapping from organism specifications to nucleic acid sequences implementing those specifications, and low-level “build and test” tools aimed at faster, cheaper, and more reliable fabrication of those sequences and assays of their behavior in engineered biological organisms. Between the two families, however, there is a major gap: we still largely lack the predictive models and component characterization data required to effectively determine which of the many possible candidate sequences considered in the design phase are the most likely to produce useful results when built and tested. As low-level tools continue to mature, the bottleneck in biological systems engineering is shifting to be dominated by design, making this gap a critical barrier to progress. Considering how to address this gap, we find that widespread adoption of readily available analytic and assay methods is likely to lead to rapid improvement in available predictive models and component characterization models, as evidenced by a number of recent results. Such an enabling development is, in turn, likely to allow high-level tools to break the design barrier and support rapid development of transformative biological applications.
Details
- Title: Subtitle
- Bridging the Gap: A Roadmap to Breaking the Biological Design Barrier
- Creators
- Jacob Beal - RTX
- Resource Type
- Journal article
- Publication Details
- Frontiers in bioengineering and biotechnology, Vol.2, pp.87-87
- Publisher
- Frontiers Media S.A
- DOI
- 10.3389/fbioe.2014.00087
- PMID
- 25654077
- PMCID
- PMC4299508
- ISSN
- 2296-4185
- eISSN
- 2296-4185
- Language
- English
- Date published
- 01/20/2015
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984627336202771
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