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

DrugComb data can be downloaded via drugcomb.fimm.fi/download/ https://t.co/WNjMWOVMC4

DrugComb is now mobile friendly! https://t.co/7EPiEjA1fY

Quite a big crowd in #ISMBECCB #ISMBECCB2019. https://t.co/nxCXD481E0

Congratulations to all the collaborators for the great work on the discovery of the combinatorial drug targets for… twitter.com/i/web/status/1…