TIsigner
TIsigner optimizes translation initiation coding regions, identifies soluble protein domains, and predicts signal peptides to improve recombinant protein expression, solubility, and subcellular targeting using prediction algorithms.
Key Features:
- TIsigner (Translation Initiation coding region designer): Performs synonymous optimization of the translation initiation coding region to enhance translation efficiency and protein expression.
- SoDoPE (Soluble Domain for Protein Expression): Identifies soluble domains within proteins to guide solubility optimization and improve folding of expressed proteins.
- Razor: Predicts optimal signal peptides to direct proteins to correct cellular locations and support proper processing.
- Integrated workflow: Enables combined use of translation-initiation optimization, soluble-domain identification, and signal peptide prediction for coordinated gene optimization.
Scientific Applications:
- Recombinant protein production optimization: Improve yields by optimizing translation initiation coding regions and sequence synonyms.
- Protein solubility enhancement: Increase likelihood of obtaining soluble, correctly folded proteins by selecting soluble domains.
- Subcellular targeting and processing: Aid correct localization and processing by predicting appropriate signal peptides.
- Sequence-level design for expression experiments: Guide genetic modifications at the coding-region and domain levels to refine expression outcomes.
Methodology:
Computational methods explicitly include synonymous optimization of the translation initiation coding region, soluble-domain identification for solubility analysis, and prediction of signal peptides using prediction algorithms.
Topics
Details
- Tool Type:
- web application
- Programming Languages:
- JavaScript, Python
- Added:
- 12/13/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Bhandari BK, Lim CS, Gardner PP. TISIGNER.com: web services for improving recombinant protein production. Nucleic Acids Research. 2021;49(W1):W654-W661. doi:10.1093/nar/gkab175. PMID:33744969. PMCID:PMC8265118.
DOI: 10.1093/nar/gkab175
PMID: 33744969
PMCID: PMC8265118
Funding: - Ministry of Business, Innovation and Employment: UOOX1709
- MBIE: UOAX1932
- Royal Society of New Zealand Te Apārangi Marsden: 19-UOO-040