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News

20 September 2025

Introductory video about the QSPainRelief database

We proudly present the QSPainRelief database, a key outcome of our international collaboration, with this introductory video by Daan van Valkengoed (ULEI). The database combines published data, existing medications, and advanced Quantitative Systems Pharmacology (QSP) models to accelerate the development of safer and more effective combinational treatments for chronic pain. This unique resource aims to enable researchers and clinicians to explore and visualise drug mechanisms and interactions, predict treatment outcomes, and design personalised therapies tailored to individual patients. By bridging advanced in silico modelling with clinical practice, we hope that the database ultimately supports faster treatment decisions, improved pain relief, reduced side effects, and a better quality of life for millions of patients.

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Events

30 June 2025

Opioid receptors: Innovative, but complex peptides for developing improved therapeutics – Watch now on YouTube

In our 8th and last Masterclass lecture, now available on YouTube, Prof. Dr. Andrea Bedini (UNIBO) dives into the depths of molecular biology and intracellular signalling mechanisms, providing a comprehensive overview about the complexity and therapeutic potential of opioid receptors, a group of G-protein-coupled receptors (GPCRs) that were studied intensely in the QSPainRelief project. How can we exploit the mu (μ) opioid receptor (MOR) and the kappa (κ) opioid receptor (KOR) better to improve therapies and combinatorial treatments for chronic pain patients? Prof. Bedini’s keynote lecture took place on 10 December 2024 as part of the Final QSPainRelief GA Meeting in Bologna, Italy, and can also be viewed on the E-Learning & Videos page.

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Resources

Personalise and maximize pain relief for individuals suffering from chronic pain

Summary Statement

10 institutions in Europe and the USA collaborate for the next 5 years to help patients suffering from chronic pain. QSPainRelief aims to develop effective drug combination treatments for the improved relief of chronic pain. A quantitative systems pharmacology (QSP) mathematical modelling approach will be used to identify and validate more effective therapeutic interventions by smart combinations of existing drugs. The ultimate goal is to personalise and maximize pain relief for individuals suffering from chronic pain while diminishing side effects.

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Objectives

  • Consolidating cutting-edge treatment models for chronic pain
  • Summary Statement
  • Validating novel combinational therapies preclinically in vitro and in vivo
  • Conducting clinical studies to detect functional biomarkers
  • Improving the clinical guidelines for pain relief in stratified patient groups
  • Personalising pain relief treatment for each patient
  • Improving the scientific understanding of chronic pain regarding age, sex, disease and genetic factors

Impact

  • Novel concepts of combinational pain relief therapies
  • Improved efficacy and acceptability in the clinic
  • Effective stratification of patients with respect to age, sex, disease and genotype
  • Personalised treatment with unswerving benefits for patients
  • Unique knowledge gain and innovation opportunities

Project partners