Incremental and unifying modelling formalism for biological interaction networks

International audienc

Synthetic biology in the view of European public funding organisations

We analysed the decisions of major European public funding organisations to fund or not to fund synthetic biology (SB) and related ethical, legal and social implication (ELSI) studies. We investigated the reaction of public organisations in six countries (Austria, France, Germany, the Netherlands, Switzerland and the UK) towards SB that may influence SB’s further development in Europe. We examined R&D and ELSI communities and their particular funding situation. Our results show that the funding situation for SB varies considerably among the analysed countries, with the UK as the only country with an established funding scheme for R&D and ELSI that successfully integrates these research communities. Elsewhere, we determined a general lack of funding (France), difficulties in funding ELSI work (Switzerland), lack of an R&D community (Austria), too small ELSI communities (France, Switzerland, Netherlands), or difficulties in linking existing communities with available funding sources (Germany), partly due to an unclear SB definition

Incremental and unifying modelling formalism for biological interaction networks

International audienc

The same MIN model as the one used for genetic regulation modeling, enriched with complementary information allowing the translation into differential equations

<p><b>Copyright information:</b></p><p>Taken from "Incremental and unifying modelling formalism for biological interaction networks"</p><p>http://www.biomedcentral.com/1471-2105/8/433</p><p>BMC Bioinformatics 2007;8():433-433.</p><p>Published online 8 Nov 2007</p><p>PMCID:PMC2200675.</p><p></p

Differential equations obtained by an automatic translation of the MIN model in Figure 4

<p><b>Copyright information:</b></p><p>Taken from "Incremental and unifying modelling formalism for biological interaction networks"</p><p>http://www.biomedcentral.com/1471-2105/8/433</p><p>BMC Bioinformatics 2007;8():433-433.</p><p>Published online 8 Nov 2007</p><p>PMCID:PMC2200675.</p><p></p> Functions and come, on one hand, from the MIN topology and the information on the stoichiometry of the reaction, and on the other hand, from the reaction attribute. At this stage, the coherence of both informations should be checked by an expert. In these equations and have a definite signature reflecting the impact of the catalyzers and inhibitors on the reactions