SilicoLife is devoted to accelerate strain and bioprocess optimization in Industrial Biotechnology by the use of proprietary computational and modelling tools.
Industrial Biotechnology is increasingly replacing existing chemical processes in numerous industrial sectors, e.g. the chemical, pharmaceutical, textile, paper and food industry. A key requirement for the adoption of biotechnological processes is that they must have a competitive production cost when compared to the existing chemical processes.
Process and strain optimization thus gain a novel and crucial importance since the increase in productivity has a direct and decisive impact on profitability. Companies therefore need to adopt rational approaches to create cost-effective pipelines of strain and process design and optimization.
Until recently, the maximization of productivity in bioprocesses relied on trial-and-error approaches and random mutagenesis techniques which are time-consuming and difficult to reproduce. Novel molecular biology techniques, coupled with post-genomic modelling approaches now allow the rational design of robust microbial strains for the production of desired compounds. The required know-how in the disciplines of Bioinformatics and Systems Biology to manipulate large amounts of data and mathematical models is frequently absent in chemical and biotech companies.
SilicoLife provides dedicated models, robust algorithms and user-friendly software tools to accelerate strain design and bioprocess optimization, therefore accelerating R&D efforts and shortening the time to market of new biotechnology-based products.
For a great variety of microorganisms and products, SilicoLife can offer ready-to-use solutions in the form of molecular targets that optimize yield and productivities or dedicated user-friendly software tools to be internally adopted by the companies to achieve their own results.
Relevant publications and websites of the SilicoLife Team:
- OptFlux; Software Platform for Metabolic Engineering - www.optflux.org
- OptFlux: an open-source software platform for in silico metabolic engineering. BMC Systems Biology 4:45, 2010.
- Natural computation meta-heuristics for the in silico optimization of microbial strains. BMC Bioinformatics 9, 499, 2008.