ArticleComputational and structural biotechnology journal2024
Computation-guided transcription factor biosensor specificity engineering for adipic acid detection.
Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Design of strictly orthogonal biosensors for maximizing renewable biofuel overproduction.Journal of advanced research · 2026Article
- Continuous evolution of a halogenase enzyme with improved solubility and activity for sustainable bioproduction.Nature communications · 2026Article
- Directed Evolution of a Macrolide-Sensing Transcription Factor Biosensor for the Detection of Macrolactone Aglycones via "Effector Walking" and Efflux Pump Deletion.Biochemistry · 2025Article
- Biological Switches: Past and Future Milestones of Transcription Factor-Based Biosensors.ACS synthetic biology · 2025Review
- Detection of environmental pollutants using transcription factor-based whole-cell biosensors.Biotechnology for the environment · 2025Review
- Revolutionizing Molecular Design for Innovative Therapeutic Applications through Artificial Intelligence.Molecules (Basel, Switzerland) · 2024Review
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Authors and funding
4 authors.
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Abstract
Transcription factor (TF)-based biosensors that connect small-molecule sensing with readouts such as fluorescence have proven to be useful synthetic biology tools for applications in biotechnology. However, the development of specific TF-based biosensors is hindered by the limited repertoire of TFs specific for molecules of interest since current construction methods rely on a limited set of characterized TFs. In this study, we present an approach for engineering the specificity of TFs through a computation-based workflow using molecular docking that enables targeted alteration of TF ligand specificity. Using this method, we engineer the LysR family BenM TF to alter its specificity from its cognate ligand
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