Signalling pathway


Since 2008 we have developed a tool in collaboration with the groups of Leonidas Alexopoulos at NTUA and of Julio Saez-Rodriguez.

The software implements the methods in the references below. If you are interested in using this software please feel free to contact us.

A. Mitsos, I. N. Melas, P. Siminelakis, A. D. Chairakaki, J. Saez­Rodriguez and L. G.
Alexopoulos. Identifying Drug Effects via Pathway Alterations using an Integer Linear Programming Optimization Formulation on Phosphoproteomic Data. PLOS Computational Biology, 5(12):e1000591. 2009.

I. N. Melas (equal contributor), A. Mitsos (equal contributor), D. E. Messinis, T. Weiss, and L. G. Alexopoulos. Combined Logical and Data­Driven Models for Linking Signaling Pathways to
Cellular Response
. BMC Systems Biology, 5:107. 2011.

I. N. Melas (equal contributor), A. Mitsos (equal contributor), J. Saez­Rodriguez, Thomas Weiss, Dimitris E. Messinis, and Leonidas G. Alexopoulos. Construction of Large Signaling
Pathways using an Adaptive Perturbation Approach with Phosphoproteomic Data
. Molecular BioSystems, 8(5):1571–1584. 2012.

A. Mitsos (equal contributor), I. N. Melas (equal contributor), M. K. Moris, J. Saez­Rodriguez, D. Lauffenburger, and L. G. Alexopoulos. Quantitative modeling of signal transduction pathways via a Non Linear Programming (NLP) formulation on phosphoproteomic data. PLOS One, 7. 11 2012.

I. N. Melas (equal contributor), A. D. Chairakaki (equal contributor), E. I. Chatzopoulou (equal contributor), D. E. Messinis, A. Mitsos, Z. Dailiana, P. Kolia, and L. G. Alexopoulos. Modeling signaling pathways in chondrocytes based on phosphoproteomic and cytokine release data. Osteoarthritis and Cartilage, 22(3):509–518. 2014.