Our mission is to develop mathematical, statistical and informatics tools to tackle biomedical questions that may potentially lead to breakthroughs in drug discovery. We are focusing on network pharmacology modeling, aiming at a systems-level understanding of how cancer signaling pathways can be inhibited by synergistic drug combinations through multi–target perturbations. These methods offer an improved efficiency to identify more effective cancer treatments for personalized medicine.
@NetPharMed

The Young Investigator of the Month honor at @FIMM_UH is a monthly highlight of a PhD student or postdoc for a rece… twitter.com/i/web/status/1…

Thanks to @ERC_Research to make the change that we believe in! twitter.com/PaulaEerola/st…

Researchers from the @NetPharMed and @HeckmanLab groups have developed a novel experimental and computational pipel… twitter.com/i/web/status/1…

Thanks to Alina and colleagues in @HeckmanLab for the innovative experimental and computational design of drug comb… twitter.com/i/web/status/1…