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

Great resources for drug discovery! and happy that our drug target interaction and drug combination datasets are re… twitter.com/i/web/status/1…

Our recent work on pathogens' stress responses is now in @NatureComms editorial highlights in the area of Microb… twitter.com/i/web/status/1…

Great to be part of it! twitter.com/NordicEMBL/sta…

Happy to announce our research article on stress responses in many human bacterial pathogens is out in @NatureCommstwitter.com/i/web/status/1…