Why optimize synthetic genes?
While in many instances it will suffice to extract a coding sequence, stick a promoter and terminator on it and use that in an expression plasmid, state-of-the-art approaches invest a great deal of biocomputational calculations to streamline and optimize expression constructs.This is especially necessary if promoters and other control elements from diverse organisms are incorporated into heterologous expression constructs as is the case in metabolic engineering where endogenous genes may either not exist, are too weakly expressed or too tightly controlled.
DNA Optimization:
EvoMag combines Synthetic Bioinformatics with GeneCluster Designs for Multi-Protein Expression and Minimal Molecular Function.
EvoMag combines Synthetic Bioinformatics with GeneCluster Designs for Multi-Protein Expression and Minimal Molecular Function.
Cluster Design
DNA design and optimization are extremely critical as research has shown that individual genes and gene cassettes in multi-gene operons and other assemblies can be differentially expressed thus leading to unbalanced expression of the protein products.
This can be a factor in protein complexes that are sensitive to a specific stoichiometry of their component proteins.
DNA design and optimization are extremely critical as research has shown that individual genes and gene cassettes in multi-gene operons and other assemblies can be differentially expressed thus leading to unbalanced expression of the protein products.
This can be a factor in protein complexes that are sensitive to a specific stoichiometry of their component proteins.