toehold
toehold designs and scores toehold switch RNA sensors for sequence-specific detection of trigger RNAs by generating hairpin-forming sequences that expose a ribosome binding site upon trigger binding to initiate reporter protein translation.
Key Features:
- Design and optimization: Generates and optimizes toehold switch sequences that form hairpin structures which unfold upon binding a specific trigger RNA to expose a ribosome binding site (RBS) and initiate translation of a reporter protein.
- Base-complementation specificity: Accounts for base complementation between switch and trigger RNA to enable tuning for sequence-specific detection.
- Sequence and structural evaluation: Evaluates sequence properties, structural configurations, and specificities during design.
- Predictive scoring: Implements a scoring system that predicts switch efficacy using empirical data derived from approximately 180 experimentally tested switches.
- Target applicability: Supports design for detecting targets including viral RNAs such as Zika and Ebola viruses.
Scientific Applications:
- Molecular diagnostics: Designs RNA-based sensors for detecting viral RNAs, including Zika and Ebola.
- Synthetic biology: Provides modular RNA sensors to control translation of reporter proteins in synthetic biology applications.
- RNA biology research: Enables study of sequence-structure-function relationships and base complementation effects in RNA-mediated regulation.
- Molecular biology assays: Facilitates construction of translation-based reporter assays via RBS exposure upon trigger binding.
Methodology:
Designs are generated and evaluated by considering sequence properties and structural configurations, and are scored by a predictive model trained on empirical data from approximately 180 experimentally tested switches.
Topics
Details
- License:
- Unlicense
- Maturity:
- Mature
- Cost:
- Free of charge (with restrictions)
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 7/6/2019
- Last Updated:
- 11/24/2024
Operations
Publications
To AC, Chu DH, Wang AR, Li FC, Chiu AW, Gao DY, Choi CHJ, Kong S, Chan T, Chan K, Yip KY. A comprehensive web tool for toehold switch design. Bioinformatics. 2018;34(16):2862-2864. doi:10.1093/bioinformatics/bty216. PMID:29648573.
PMID: 29648573