Here, we present a modular thermodynamic modeling framework that explicitly parameterizes molecular interactions among promoters, RNA polymerase (RNAP) and transcription factors (TFs).
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modular thermodynamic modeling framework for transcriptional regulation
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The framework was further validated by engineering a multispecies bacterial communication circuit, supporting broad utility and generalizability.
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Furthermore, we validate the framework by engineering multispecies bacterial communication circuit, highlighting its broad utility and generalizability.
The framework produced substantial improvements in a composite transcriptional performance metric, with gains up to 20-fold across Escherichia coli, Bacillus subtilis, and Corynebacterium glutamicum.
Quoted textsource-backed
Experimental validation across three distinct bacteria-Escherichia coli, Bacillus subtilis, and Corynebacterium glutamicum-demonstrates substantial improvements (up to 20-fold) in a composite transcriptional performance metric (Fmax*FC)
T-Pro implements a modular thermodynamic modeling framework that explicitly parameterizes interactions among promoters, RNA polymerase, and transcription factors.
Quoted textsource-backed
Here, we present a modular thermodynamic modeling framework that explicitly parameterizes molecular interactions among promoters, RNA polymerase (RNAP) and transcription factors (TFs). Implemented as the computational platform, T-Pro