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 to be part of the team to make the pathogen response data #FAIRdata twitter.com/kavican/status…

Cool stuff! twitter.com/MohieddinJafar…

'All models are wrong, but some are useful'. Great to participate the insightful debate on the mathematical modelin… twitter.com/i/web/status/1…

Very happy that our work on the ratio of coherency between the expression level and the causal relationships among… twitter.com/i/web/status/1…