Open AccessControl of synthetic gene networks and its applications
Author(s) -
J Menn David,
Su RiQi,
Wang Xiao
Publication year - 2017
Publication title -
quantitative biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.707
H-Index - 15
eISSN - 2095-4697
pISSN - 2095-4689
DOI - 10.1007/s40484-017-0106-5
Subject(s) - synthetic biology , gene regulatory network , computer science , cover (algebra) , control (management) , stability (learning theory) , artificial intelligence , computational biology , biology , gene , engineering , machine learning , genetics , gene expression , mechanical engineering
Background One of the underlying assumptions of synthetic biology is that biological processes can be engineered in a controllable way. Results Here we discuss this assumption as it relates to synthetic gene regulatory networks (GRNs). We first cover the theoretical basis of GRN control, then address three major areas in which control has been leveraged: engineering and analysis of network stability, temporal dynamics, and spatial aspects. Conclusion These areas lay a strong foundation for further expansion of control in synthetic GRNs and pave the way for future work synthesizing these disparate concepts.