Prof. Dr. Julio Saez-Rodriguez

 

Computational Biomedicine, Network modeling

At the interdisciplinary Joint Research Center for Computational Biomedicine (JRC-COMBINE), a joint venture of RWTH Aachen University, RWTH Aachen University Hospital, and Bayer Technology Services we combine advanced modeling technologies and systems biology approaches with expertise from industry and academia to provide tangible benefit for clinics, industry and society at large.

Within the JRC-COMBINE, the Saez-Rodriguez group focuses on acquiring a functional understanding of the deregulation of signalling networks in disease and to apply this knowledge to novel therapeutics. This deregulation in how cell process and react to extracellular information is a hallmark of multiple pathological conditions. Our main application is cancer, but we also work on metabolic and auto-immune diseases.

 

Expertise

• Network biology, in particular mechanistic modelling of signal transduction and its interaction with metabolism and gene regulation
• Analysis of proteomic/phosphoproteomic data
• Analysis of drug screenings, linking genomic and other molecular data to drug response

 

Joint Interest of JRC-COMBINE

Experimental collaborators with interest in human disease and drug discovery, in particular in cancer, that generate large-scale data sets to address these questions, specially proteomic and drug-screenings.

 

References

Federica Eduati, Lara M Mangravite, Tao Wang, Hao Tang, J Christopher Bare, Ruili Huang, Thea Norman, Mike Kellen, Michael P Menden, Jichen Yang, Xiaowei Zhan, Rui Zhong, Guanghua Xiao, Menghang Xia, Nour Abdo, Oksana Kosyk, NIEHS-NCATS-UNC DREAM Toxicogenetics Collaboration, Stephen H Friend, Allen dearry, Anton Simeonov, Raymond Tice, Ivan Rusyn, Fred A Wright, Gustavo A Stolovitzky, Yang Xie, and Julio Saez-Rodriguez. Prediction of human population responses to toxic compounds by a collaborative competition.
Nature Biotechnology, 2015 vol. 33 (9) pp. 933-940.

Julio Saez-Rodriguez, Aidan MacNamara, and Simon Cook. Modeling Signaling Networks to Advance New Cancer Therapies. Annual Rev Biomed Eng, 2015 vol. 17 (1) p. 150814155959008.

Camille Terfve, Edmund H Wilkes, Pedro Casado, Pedro R Cutillas, and Julio Saez-Rodriguez. Large-scale models of signal propagation in human cells derived from discovery phosphoproteomic data. Nature Communications, 2015 vol. 6.

Emanuel Goncalves, Joachim Bucher, Anke Ryll, Jens Niklas, Klaus Mauch, Steffen Klamt, Miguel rocha, and Julio Saez-Rodriguez. Bridging the layers: towards integration of signal transduction, regulation and metabolism into mathematical models. Mol BioSyst, 2013, vol 9: 1576-1583.

Francesco Iorio, Timothy Rittman, Hong Ge, Michael Menden, and Julio Saez-Rodriguez. Transcriptional data: a new gateway to drug repositioning?. Drug Discov Today, 2013 vol. 18 (7-8) pp. 350-357.