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 update paper is out! Much more drug sensitivity data resources and web applications are made available! biorxiv.org/cgi/content/sh…

Thrilled to be a winner of the antiPD1 response prediction @DR_E_A_M challenge! synapse.org/#!Synapse:syn1… Great to h… twitter.com/i/web/status/1…