We aspire to tackle important questions in the study of metabolic networks that underlie challenges in human health & well-being. We perform experiments to understand the systems-level function of cellular metabolic networks and we develop novel computational tools to integrate high-throughput data in order to predict how cells respond to environmental & genetic perturbations. We perform further experiments to validate and improve these computational models. With increased predictive ability, we gain an understanding of mechanisms of metabolism that are critical in public health and identify potential strategies and interventions. Our efforts in this research area are always guided by clear ethical principles. As we engage in this research, we will make important advances in the health and well-being of society.
The Papin Lab
Understanding biochemical networks will lead to revolutionary advances in medicine and biotechnology.
There is a pressing need for reconstructing and analyzing the biochemical networks that orchestrate cellular processes. Understanding how these biochemical networks function (and malfunction) will lead to revolutionary advances in medicine, biotechnology, and the understanding of fundamental biological processes.
The Computational Systems Biology Laboratory (CSBL) at the University of Virginia uses computational and experimental approaches to characterize biological systems relevant to human disease. In particular, we reconstruct integrated cellular networks and develop tools to analyze their properties. The analysis of these networks requires sophisticated computing capabilities, experimental methods, and mathematical techniques.
