Recon3D enables a three-dimensional view of gene variation in human metabolism

Genome-scale network reconstructions have helped uncover the molecular basis of metabolism. Here we present Recon3D, a computational resource that includes three-dimensional (3D) metabolite and protein structure data and enables integrated analyses of metabolic functions in humans. We use Recon3D to functionally characterize mutations associated with disease, and identify metabolic response signatures that are caused by exposure to certain drugs. Recon3D represents the most comprehensive human metabolic network model to date, accounting for 3,288 open reading frames (representing 17% of functionally annotated human genes), 13,543 metabolic reactions involving 4,140 unique metabolites, and 12,890 protein structures. These data provide a unique resource for investigating molecular mechanisms of human metabolism. Recon3D is available at http://vmh.life

European Seafood Production under Climate Change: Assessing Economic and Social Consequences

Climate change has been observed to have a significant impact on the distribution of aquatic species and productivity of aquaculture systems across the globe. This affects the level of food production, the livelihoods of communities that depend on fisheries and aquaculture, and the future sustainability of these sectors. As in all other parts of the world, climate change will have inequitable and diverse impacts on economic growth across Europe, creating winners and losers. The European H2020 project ClimeFish investigates the impacts of climate change in aquatic food production at the European and regional scale, for the three main production sectors: marine fisheries, lakes and ponds and marine aquaculture. ClimeFish has developed a process for conducting socio-economic impact assessment by first identifying the effect(s) of climate change on the biological properties of both fish and aquaculture species, and secondly assessing the socio-economic impacts based on these biological forecasts, collecting additional socio-economic data and feedback from relevant stakeholders. Here, we provide an overview of the methods and work conducted in seven different case studies will be provided, focusing on both opportunities and threats within the three sectors and geographical locations around Europe as well as a European wide analysis. Challenges related to the data collection and analysis, as well as potential ways of overcoming them, are discussed

Recon3D enables a three-dimensional view of gene variation in human metabolism.

Genome-scale network reconstructions have helped uncover the molecular basis of metabolism. Here we present Recon3D, a computational resource that includes three-dimensional (3D) metabolite and protein structure data and enables integrated analyses of metabolic functions in humans. We use Recon3D to functionally characterize mutations associated with disease, and identify metabolic response signatures that are caused by exposure to certain drugs. Recon3D represents the most comprehensive human metabolic network model to date, accounting for 3,288 open reading frames (representing 17% of functionally annotated human genes), 13,543 metabolic reactions involving 4,140 unique metabolites, and 12,890 protein structures. These data provide a unique resource for investigating molecular mechanisms of human metabolism. Recon3D is available at http://vmh.life

Recon3D enables a three-dimensional view of gene variation in human metabolism.

Genome-scale network reconstructions have helped uncover the molecular basis of metabolism. Here we present Recon3D, a computational resource that includes three-dimensional (3D) metabolite and protein structure data and enables integrated analyses of metabolic functions in humans. We use Recon3D to functionally characterize mutations associated with disease, and identify metabolic response signatures that are caused by exposure to certain drugs. Recon3D represents the most comprehensive human metabolic network model to date, accounting for 3,288 open reading frames (representing 17% of functionally annotated human genes), 13,543 metabolic reactions involving 4,140 unique metabolites, and 12,890 protein structures. These data provide a unique resource for investigating molecular mechanisms of human metabolism. Recon3D is available at http://vmh.life