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

I am happy to be the guest editor for the special issue of 'Network Pharmacology Modelling for Drug Discovery' in t… twitter.com/i/web/status/1…

SynergyFinder is updated! Please go to synergyfinder.org to find more! @DrugComb @NetPharMedtwitter.com/i/web/status/1…

Very happy to be part of the great collaborative competition! twitter.com/allawayr/statu…

many thanks to all of the co-authors including @practically_sci @ben_szalai @justin_guinney @NetPharMed @saezlab (a… twitter.com/i/web/status/1…