Dr. Nurgazy Sulaimanov
Office: S3/19 1.8
work +49 6151 16-57 246
fax +49 6151 16-57 241
Nurgazy joined Bioinspired communication systems lab on January 2015. He completed his bachelor studies in applied mathematics and informatics from Osh State University, Kyrgyzstan and master studies in industrial mathematics from Technical University of Kaiserslautern, Germany. He obtained his PhD in applied mathematics from University of Heidelberg in 2013, where he worked on the development and optimization of the mathematical model for the hepatitis C virus replication. After completing his PhD, he worked as a postdoctoral fellow at the Freiburg Institute of Advanced Studies and Institute of Molecular Medicine and Cell Research, University of Freiburg. During his time in Freiburg, he worked mainly on the analysis of high throughput gene expression data from mice affected by the polycystic kidney disease (PKD), where his particular focus was to understand the role of mTOR signaling pathway in the development of PKD.
His research interests cover the development and application of statistical reverse engineering methods, deterministic and stochastic modeling of biological processes using ordinary and partial differential equations, network theory and machine learning methods. Applications include a reconstruction of a joint regulatory network of D. discoideum and M. marinum from RNA-seq time series data, signaling and gene regulatory networks.
Possible Student Projects you can find here.
1) Binder M*, Sulaimanov N*, Clausznitzer D, Schulze M, Hüber CM, et al. (2013) Replication Vesicles are Load- and Choke-Points in the Hepatitis C Virus Lifecycle. PLoS Pathog 9(8): e1003561. doi:10.1371/journal.ppat.1003561. (*-first authors)
2) D. Clausznitzer, N. Sulaimanov, M. Binder, V. Lohmann, R. Bartenschlager, L. Kaderali (2011). Systembiologie der Hepatitis C-Virus-Wirts-Interaktionen. Laborwelt 6:13-15.
3) N. Sulaimanov (2013). Mathematical Modeling of HCV Replication. PhD Thesis. University of Heidelberg.
4) N. Sulaimanov, H. Koeppl (2016). Graph reconstruction using covariance based methods. EURASIP Journal on Bioinformatics and Systems Biology. 2016(1):19. doi:10.1186/s13637-016-0052-y
5) N. Sulaimanov*, M. Klose, H. Busch, M. Boerries (2017). Understanding the mTOR signaling pathway via mathematical modeling. WIREs Syst Biol Med 2017. doi: 10.1002/wsbm.1379. (*-corresponding author)
6) F. Grahammer, H. Busch, N. Sulaimanov, T. Cordts, F. Arnold, L. Sandner, W. Reichardt, M. A. Ruegg, M. N. Hall, P. Moulin, M. Boerries, G. Walz and T. B. Huber (2015). Other signaling pathways rapidly compensate for loss of mTORC1 in driving cystic kidney disease. (under revision)
Jump to: 2016
Number of items: 1.
Sulaimanov, N. ; Koeppl, H.