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.

Documentation