4.7 Article

Foundations and Emerging Paradigms for Computing in Living Cells

Journal

JOURNAL OF MOLECULAR BIOLOGY
Volume 428, Issue 5, Pages 893-915

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jmb.2016.02.018

Keywords

synthetic biology; digital logic; analog logic; systems biology; metabolic engineering; memory

Funding

  1. National Institutes of Health [DP2 OD008435, P50 GM098792, 1-R21-AI121669-01]
  2. Office of Naval Research [N00014-13-1-0424]
  3. Defense Threat Reduction Agency [HDTRA1-15-1-0050, HDTRA1-14-1-0007]
  4. National Science Foundation [MCB-1350625]
  5. Defense Advanced Research Projects Agency [HR0011-15-C-0091]
  6. Harvard College Research Program
  7. Harvard College PRISE

Ask authors/readers for more resources

Genetic circuits, composed of complex networks of interacting molecular machines, enable living systems to sense their dynamic environments, perform computation on the inputs, and formulate appropriate outputs. By rewiring and expanding these circuits with novel parts and modules, synthetic biologists have adapted living systems into vibrant substrates for engineering. Diverse paradigms have emerged for designing, modeling, constructing, and characterizing such artificial genetic systems. In this paper, we first provide an overview of recent advances in the development of genetic parts and highlight key engineering approaches. We then review the assembly of these parts into synthetic circuits from the perspectives of digital and analog logic, systems biology, and metabolic engineering, three areas of particular theoretical and practical interest. Finally, we discuss notable challenges that the field of synthetic biology still faces in achieving reliable and predictable forward-engineering of artificial biological circuits. (C) 2016 Published by Elsevier Ltd.

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