Performance Prediction of Fundamental Transcriptional Programs.
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ABSTRACT:
SUBMITTER: Milner PT
PROVIDER: S-EPMC10127286 | biostudies-literature | 2023 Apr
REPOSITORIES: biostudies-literature
Publications
Performance Prediction of Fundamental Transcriptional Programs.
Milner Prasaad T PT Zhang Ziqiao Z Herde Zachary D ZD Vedire Namratha R NR Zhang Fumin F Realff Matthew J MJ Wilson Corey J CJ
ACS synthetic biology 20230319 4
Transcriptional programming leverages systems of engineered transcription factors to impart decision-making (<i>e.g.</i>, Boolean logic) in chassis cells. The number of components used to construct said decision-making systems is rapidly increasing, making an exhaustive experimental evaluation of iterations of biological circuits impractical. Accordingly, we posited that a predictive tool is needed to guide and accelerate the design of transcriptional programs. The work described here involves t ...[more]
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