• Dynamical Network Biology

    Understanding the dynamics of complex biological and biochemical networks.

    Model 1
  • Host-pathogen Interactions

    Dynamics of Host-Influenza and -HIV interaction networks

    Model 2
  • In Silico Drug Therapy

    Using computational models to predict new drug targets for drug re-purposing and combinatorial drug therapies.

    Model 2
  • Computational Modeling Technology

    Development of technologies for the construction, simulation, and analysis of large-scale computational models.

    Model 3
  • STEM Education

    Integration of STEM fields in Life Science education through computational modeling.

    Model 2
  • Network Biology
  • Host-pathogen Interactions
  • Host-pathogen Interactions
  • Host-pathogen Interactions
  • Host-pathogen Interactions

Who Are We?

Our work centers around multi-scale modeling in life sciences research and education. Located in the Biochemistry Department at the University of Nebraska-Lincoln, the focus of our efforts is three-fold:

1) Better understand the dynamics of molecular and cellular mechanisms in complex networks under healthy as well as abnormal conditions. Examples of our work include the human immune system and plant root microbial interactions;

2) Make computational biology, modeling, data analysis and visualization broadly accessible to laboratory researchers, translational scientists and professionals through easy-to-use cutting-edge software technologies, and

3) Enable computational modeling and simulation as an educational tool, whereby life sciences students can learn about the dynamic and complex nature of biological processes and diseases by building, breaking, simulating, and analyzing computational models of these biological systems. Our simulation-driven approach has now been adopted by tens of institutions in the US and worldwide, ranging from high schools to undergraduate and graduate level life sciences courses.



Abou-Jaoudé W, Traynard P, Monteiro PT, Saez-Rodriguez J, Helikar T, Thieffry D, Chaouiya C. (2016) Cellular Networks: Logics and Dynamics. Frontiers in Genetics.7:94

Puniya B., Allen L., Hochfelder C., Majumder M., Helikar T. (2016) Systems Perturbation Analysis of a Large Scale Signal Transduction Model Reveals Potentially Influential Candidates for Cancer Therapeutics. Frontiers in Bioengineering and Biotechnology.4:10. doi: 10.3389/fbioe.2016.00010

Helikar T., Cutucache C. E., Herek T., Rogers J. (2015) Integrating interactive computational modeling in biology curricula. PLoS Computational Biology. 11(3): e1004131

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Contact Us

You can find us in the Biochemistry Department at the University of Nebraska-Lincoln, located in the Beadle Center.

University of Nebraska-Lincoln Beadle Center
1901 Vine St
Lincoln, Nebraska 68503

email: thelikar2@unl.edu
tel: 402-472-3530