Genome Annotation and Metabolic Network Reconstruction
Genome-scale metabolic networks are relational databases that link genes to proteins, proteins to metabolic reactions, and reactions to metabolites. These databases contain the information necessary for genome-scale constraint-based modeling. Following initial reconstruction, networks are reconciled to enable network analysis.
Metabolic Network Analysis
Reconstructed networks have an array of readily accessible properties, such as metabolites that can be produced, viability on media of a defined composition, and what mutations are expected to be lethal. Sensitivity analysis on the network reconciliation process can quantify network support for optional gene additions or constraint relaxations.
Rational Metabolic Engineering
For the biosynthetic production of commodity chemicals, synthetic biologists need to find a fitting organism, and adjust its metabolism in such way that it overproduces the intended compound. GenomeCraft offers services to assess host suitability, pathway design, and flux maximization to target metabolites.
Peptide-Based 13C Flux Analysis
Peptide-based flux analysis can establish flux maps from spatially or temporally distinctly expressed proteins. Consequently, flux maps of thousands of single cellular mutants can be established in parallel using a single labeled fermentation run if all mutants express a set of unique peptides.