Welcome to the Molecular Pharmacology Group

at the School of Pharmaceutical Sciences


The overall aim of the Molecular Pharmacology Group’s research is the identification of optimized therapeutic strategies for the treatment of complex disease, mainly cancer. Our optimization strategy uses fundamental research to reveal the action mechanisms of the optimized drug mixtures. The latter, in turn, may identify novel signaling pathways, mechanisms of resistance and may lead to new drug discovery alleys.


The mainstays of the ongoing research are:                           

- design of personalized optimization of multidrug combinations,

- identification of novel targets for treatment,

- patient-derived 3D in vitro tumor models,

- cell fate mechanisms,

- overcoming acquired resistance of targeted drugs,

- alternative to mammalian screening models,

- nano-systems for co-delivery of multidrug combinations.


We work in a close collaboration with clinicians, engineers, biologists and  medical oncologists in order to perform clinically relevant translational research to improve cancer treatment efficacy, reduce side effects and probability of a drug acquired resistance. Our ultimate goal is to develop personalized synergistic combination therapies to the dynamically changing tumor response.


Recent news

  • Congratulations to Magdalena Rausch receiving the Tony B. Academic Travel Award to the SLAS2019 Meeting, Washington DC.
  • We welcome George Ramzy taking a PhD student position in our lab
  • Congratulations to Dina Hany (promotor: Prof. D. Picard, co-promotors: Prof. L.Scapozza and Prof. P.Nowak-Sliwinska) for the Booster Prize: https://www.unige.ch/medecine/fr/carrousel/phd-booster-project/
  • We welcome Dr. Malgorzata Kucinska taking a post-doctoral position in our lab
  • Marloes Zoetemelk wins the poster prize at the 11th Swiss Pharma Science Day 2018
  • Swiss Innovation Agency - InnoSwiss supports our research
  • Foundation for the cancer fight and medico-biological research supports our research






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