Welcome to the Network Modeling Lab!

High-throughput, ‘omic’ methods reveal many aspects of cellular state and biological responses to perturbations and diseases. However, taken in isolation, no single type of data is capable to fully represent the cellular activity. Our research direction is toward integrating multiple ‘omic’ data in a network context and revealing how the networks of interactions among proteins are altered in cells during disease or any perturbations. Instead of reductionism that is targeting just one molecule, I am interested in a whole set of molecules together from a systems biology perspective. Toward this aim, our team is developing new integrative network modelling approaches. These network-based approaches reconstruct the relations between these molecules and elucidate the hidden components of signaling in a condition-specific way.


June 2016 - The paper entitled "Network Modeling Identifies Patient-specific Pathways in Glioblastoma" was published in Scientific Reports

May 2016 - The paper entitled "Network-based interpretation of diverse high-throughput datasets through the Omics Integrator software package was published in PLOS Comp Bio

April 2016 - The paper entitled "Predicting Protein-Protein Interactions from the Molecular to the Proteome Level" was published in Chemical Reviews

May, 2015 - The paper on mTOR/PI3K/AKT pathway has been published in Molecular Biosystems

April, 2015 - Nurcan Tuncbag received the Young Scientist Award (BAGEP'15) of the Science Academy, Turkey

Feb, 2015 - Rumeysa Fayetorbay joined the lab

Jan, 2015 - Tugba Kaya joined the lab

Sept, 2014 - Gungor Budak joined the lab

June, 2014 - Nurcan Tuncbag beginned the PI position at METU