perspective: engineering noise in biological systems towards predictive stochastic design
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ID: 185203
2018
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Abstract
Significant progress has been made towards engineering both single-cell and
multi-cellular systems through a combination of synthetic and systems biology,
nanobiotechnology, pharmaceutical science, and computational approaches. However, our
ability to engineer systems that begin to approach the complexity of natural pathways is
severely limited by important challenges, e.g. due to noise, or the fluctuations in gene
expression and molecular species at multiple scales (e.g. both intra- and inter-cellular
fluctuations). This barrier to engineering requires that biological noise be recognized as
a design element with fundamentals that can be actively controlled. Here we highlight
studies of an emerging discipline that collectively strives to engineer noise towards
predictive stochastic design using interdisciplinary approaches at multiple-scales in
diverse living systems.
| Reference Key |
dar2018aplperspective:
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|---|---|
| Authors | ;Roy D. Dar;Ron Weiss |
| Journal | international journal of civil engineering and technology |
| Year | 2018 |
| DOI |
10.1063/1.5025033
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| URL | |
| Keywords |
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