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.

Documentation