SensiPath
SensiPath identifies multi-step enzymatic metabolic pathways that convert target compounds into known effectors of allosteric transcription factors to enable detection by genetically encoded biosensors in prokaryotic systems.
Key Features:
- Enlarging Detectable Compounds: Screens for multi-step enzymatic transformations that convert non-detectable compounds into detectable effectors of transcription factors.
- Signature Descriptor Encoding: Encodes reactions using signature descriptors to represent biochemical transformations and enable pathway exploration.
- Mapping to Transcription-Factor Effectors: Identifies putative biochemical pathways that link target compounds to known effectors of allosteric transcription factors to leverage existing genetically encoded biosensors.
Scientific Applications:
- Whole-Cell Biosensors: Expands the range of analytes detectable by whole-cell biosensors in prokaryotes by converting analytes into transcription-factor effectors.
- Metabolic Engineering: Facilitates selection and regulation of high-producer strains by enabling detection of intracellular metabolic intermediates.
Methodology:
Reactions are encoded through signature descriptors and screened for multi-step enzymatic transformations that convert target compounds into known transcription-factor effectors.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Delépine B, Libis V, Carbonell P, Faulon J. SensiPath: computer-aided design of sensing-enabling metabolic pathways. Nucleic Acids Research. 2016;44(W1):W226-W231. doi:10.1093/nar/gkw305. PMID:27106061. PMCID:PMC5741204.