ESO
ESO designs evolutionarily stable genetic constructs by analyzing sequence features to reduce mutational degradation while maintaining host expression levels.
Key Features:
- Automatic Design: Automates design of genetic constructs that resist evolutionary loss-of-function mutations.
- Hotspot Avoidance: Identifies and avoids mutational and epigenetic hotspots that are prone to destabilizing constructs.
- Custom Hotspot Definition: Allows definition of custom hotspots specific to particular applications or organisms.
- Balancing Stability with Expression: Considers guanine-cytosine (GC) content and codon usage of the host to optimize between evolutionary stability and high gene expression.
Scientific Applications:
- Synthetic Biology: Supports long-term functionality of engineered constructs for applications such as metabolic engineering and gene therapy.
- Genetic Research: Provides insights into evolutionary dynamics by enabling analysis and stabilization of sequences against natural selection pressures.
Methodology:
Employs a computational approach that analyzes sequence data for mutational tendencies, identifies mutational and epigenetic hotspots, considers host-specific factors such as GC content and codon usage, and produces optimized designs that maintain functionality without compromising expression levels.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- desktop application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 6/7/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Menuhin-Gruman I, Arbel M, Amitay N, Sionov K, Naki D, Katzir I, Edgar O, Bergman S, Tuller T. Evolutionary Stability Optimizer (ESO): A Novel Approach to Identify and Avoid Mutational Hotspots in DNA Sequences While Maintaining High Expression Levels. ACS Synthetic Biology. 2021;11(3):1142-1151. doi:10.1021/acssynbio.1c00426. PMID:34928133. PMCID:PMC8938948.