mRNA optimiser

mRNA optimiser optimizes mRNA secondary structure by adjusting minimum free energy (MFE) to improve protein synthesis while preserving the encoded polypeptide sequence.


Key Features:

  • MFE modulation: Adjusts minimum free energy (MFE) upward or downward to strengthen or weaken mRNA secondary structure.
  • Hairpin approximation: Uses an approach that approximates hairpin formation to achieve significant changes in structural strength, including reported increases in MFE up to 40%.
  • Synonymous sequence preservation: Alters nucleotide sequence without changing the encoded amino acid sequence to maintain protein identity.
  • Time-efficient processing: Implements a time-efficient computational process for structure optimization.
  • Algorithmic independence: Operates without relying on existing algorithms that predict RNA secondary structures or generate sequences for predefined structures.
  • Multi-objective optimization: Supports joint optimization of MFE with other gene expression metrics such as codon adaptation index (CAI).
  • Genome-scale optimization: Enables optimization of secondary structures at a genomic level to enhance gene expression efficiency.
  • Translation-focused rationale: Targets secondary-structure features that can impede ribosome initiation and progression to improve protein yield.

Scientific Applications:

  • Gene expression enhancement: Improves protein synthesis by optimizing mRNA secondary structure to reduce structural impediments to translation.
  • Multi-objective gene design: Enables combined optimization of MFE and codon adaptation index (CAI) for engineered genes.
  • Genome-wide structural optimization: Applies secondary-structure optimization across genomes to increase expression efficiency in diverse biological systems.

Methodology:

Approximates hairpin formation and modifies nucleotide sequence via synonymous changes to alter MFE while preserving the amino acid sequence; implements a time-efficient computational process and explicitly does not use existing RNA secondary-structure prediction or sequence-generation algorithms.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Gaspar P, Moura G, Santos MAS, Oliveira JL. mRNA secondary structure optimization using a correlated stem–loop prediction. Nucleic Acids Research. 2013;41(6):e73-e73. doi:10.1093/nar/gks1473. PMID:23325845. PMCID:PMC3616703.

Documentation

Links