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Project cooperationUpdated on 19 January 2026

In silico combinatorial therapy ranking

Tenured professor at Computational Systems Biology team, Rīga Stradiņš University

Riga, Latvia

About

Having a genome-scale metabolic model it becomes possible to look for drugs or their combinations that disable metabolic strategies of ill tissues having less harm to healthy tissues.

Drug combinations can be ranked according to a multifactorial criterion affected by factors like 1) number of drugs in the combination, 2) expected toxicity, 3) costs and other relevant parameters depending on the application.

Similar opportunities

  • Project cooperation

    Multi-omics integration in genome-scale metabolic models

    Egils Stalidzans

    Tenured professor at Computational Systems Biology team, Rīga Stradiņš University

    Riga, Latvia

  • Project cooperation

    Translational Research Platform based on human tissues and primary cells

    • Partner seeks Consortium/Coordinator
    • DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
    • DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-06: Support to European Research Area (ERA) action on accelerating New Approach Methodologies (NAMs) to advance biomedical research and testing of medicinal products and medical devices

    Stefano Palea

    Chief Executive Officer at Humana Biosciences

    31670 - LABEGE, France

  • Project cooperation

    AI-Driven Microfluidic 3D In Vitro Platform for Multi-Tissue Crosstalk in Drug Testing

    • DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing

    MARCO BERZANO

    Research Manager and Advisor - Head of Medical Area at Università Politecnica delle Marche

    Ancona, Italy