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

and, check out our most recent publications on the drug repositioning: 1) deep-learning based text mining on drug-t… twitter.com/i/web/status/1…

Warmest congratulations to Ziaurrehman, a member of the team to receive the Academy project funding on drug reposit… twitter.com/i/web/status/1…

Cancer patients deserve better medicine with less costs. The object of bioinformaticians and computer biologists is… twitter.com/i/web/status/1…

Celebrating the @SuomenAkatemia project funding of our 🤩 consortium with @NetPharMed, Hanna Seppänen @HUS_fi and Ma… twitter.com/i/web/status/1…