||Aydin Tozeren, Ph.D.
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Distinguished Professor and Director, Center for Integrated Bioinformatics, School of Biomedical Engineering, Science & Health Systems
Office: Bossone 7-711 Email: firstname.lastname@example.org
Laboratory Web Page: Click Here to Visit Laboratory Web Page
bioinformatics, virus, HIV-1, microarray, system biology.
Dr. Aydin Tozeren, Distinguished Professor of Biomedical Engineering at Drexel University and Co-Director of the Greater Philadelphia Bioinformatics Alliance, received his Ph.D. from Columbia University. Previously, he held academic and research positions at Columbia University, the National Institutes of Health and the Catholic University of America. He published in the areas of cell adhesion and signaling, molecular basis of muscle contraction, biomechanics, and the mathematical modeling of biological systems. His current research interest focuses on crosstalk between the HIV-1 virus and the host cells.
PH.D., Columbia University, Bioengineering concentration, 1974
M.S., Columbia University, Engineering mechanics, 1972
B.S., Orta Dogu Technical University, Ankara, TR, 1971
Active Research Projects:
Discovering the fundamentals of crosstalk between the HIV-1 virus and the host using sequence information. Correlation between HIV-1 sequence motifs and response to antiretroviral therapy. Biomarker identification using large-scale compilation of microarray data.
Human Body Dynamics: Classical Mechanics & Human Movement (1999), Aydin Tozeren, Springer-Verlag, New York, NY.
New Biology for Engineers and Computer Scientists (April 2003), Aydin Tozeren and SW Byers, Prentice Hall, NJ.
Recent Peer-Reviewed publications
Evans P, Sacan A, Ungar L, Tozeren A. Sequence alignment reveals possible MAPK docking motifs on HIV proteins. PLoS One. 2010 Jan 28;5(1):e8942.
Dampier W, Evans P, Ungar L, Tozeren A. Host sequence motifs shared by HIV predict response to antiretroviral therapy. BMC Med Genomics. 2009 Jul 23;2:47.
Evans P, Dampier W, Ungar L, Tozeren A. Prediction of HIV-1 virus-host protein interactions using virus and host sequence motifs. BMC Med Genomics. 2009 May 18;2:27.
Gormley M, Tozeren A. Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classification. BMC Bioinformatics. 2008 Nov 17;9:486.
Dampier W, Tozeren A. Signaling perturbations induced by invading H. pylori proteins in the host epithelial cells: a mathematical modeling approach. J Theor Biol. 2007 Sep 7;248(1):130-44.
Zhou J, Wang C, Wang Z, Dampier W, Wu K, Casimiro MC, Chepelev I, Popov VM, Quong A, Tozeren A, Zhao K, Lisanti MP, Pestell RG: Attenuation of Forkhead signaling by the retinal determination factor DACH. PNAS. 2010 02746.
Liu Y, Tozeren A: Modular composition predicts kinase/substrate interactions. BMC Bioinformatics. 2010, In press.
Ertel A, Tozeren A. Human and mouse switch-like genes share common transcriptional regulatory mechanisms for bimodality. BMC Genomics. 2008 Dec 23;9:628.
Ertel A, Tozeren A. Switch-like genes populate cell communication pathways and are enriched for extracellular proteins. BMC Genomics. 2008 Jan 4;9:3.
Gormley M, Dampier W, Ertel A, Karacali B, Tozeren A. Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets. BMC Bioinformatics. 2007; 8: 415.
Avvisato CL, Yang X, Shah S, Hoxter B, Li W, Gaynor R, Pestell R, Tozeren A, Byers SW. Mechanical force modulates global gene expression and beta-catenin signaling in colon cancer cells. J Cell Sci. 2007; 120: 2672-82.
Vamvakidou AP, Mondrinos MJ, Petushi SP, Garcia FU, Lelkes PI, Tozeren A. Heterogeneous breast tumoroids: An in vitro assay for investigating cellular heterogeneity and drug delivery. J Biomolecular Screening. 2007;12, 13-20.
Ertel A, Verghese A, Byers SW, Ochs M, Tozeren A. Pathway-specific differences between tumor cell lines and normal and tumor tissue cells. Mol Cancer. 2006;5(1):55.
Petushi S, Garcia FU, Haber MM, Katsinis C, Tozeren A. Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer. BMC Med Imaging. 2006 Oct 27;6:14.
Tozeren A, Coward CW, Petushi SP. Origins and evolution of cell phenotypes in breast tumors. J Theor Biol. 2005 Mar 7;233(1):43-54.