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    Reconstruction and Computational Modelling for Inherited Metabolic Diseases

    Accelerating the diagnosis and personalising the management

    of inherited metabolic diseases.

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    Key features of Recon4IMD

    • Overall objectives: Accelerate diagnosis and personalise management of inherited metabolic diseases.

    • Primary output: Clinically validated decision support tools enabling accelerated diagnosis and personalised management of inherited metabolic diseases, based on genomic, proteomic, and metabolomic data-driven computational models.

    • Sustainability: Development of academic technology to meet medical regulatory standards and a roadmap for exploitation within a European foundation to aid personalised diagnosis and management of inherited metabolic diseases.

    • Implemented by: A group of world-class scientists and clinicians from a diversity of disciplines who have collaborated multiple times and have a track record of leading key national and EU-funded initiatives to deliver high-impact results.

    News & Events

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    Recon4IMD F2F 2024,
    Galway, Ireland

    Latest Publications

    Cardboard

    EEFSEC deficiency: A selenopathy with early-onset neurodegeneration

    Inborn errors of selenoprotein expression arise from deleterious variants in genes encoding selenoproteins or selenoprotein biosynthetic factors, some of which are associated with neurodegenerative disorders

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    Recon4IMD is co-funded by the European Union's Horizon Europe Framework Programme (101080997), the Swiss State Secretariat for Education, Research and Innovation (23.00232), and by United Kingdom Research and Innovation (10083717 & 10080153).

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