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Thursday, September 22, 2005

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find related articles. powered by google. The University of Chicago Chronicle AgentCell simulation allows for study on three biological levels

"Scientists at the University and Argonne National Laboratory have constructed a computer simulation that allows them to study the relationship between biochemical fluctuations within a single cell and the cell’s behavior as it interacts with other cells and its environment.

The simulation, called AgentCell, has possible applications in cancer research, drug development and combating bioterrorism. Other simulations of biological systems are limited to the molecular level, the single-cell level or the level of bacterial populations. AgentCell can simultaneously simulate activity on all three scales, something its creators believe no other software can do."

find related articles. powered by google. AgentCell AgentCell (Digital E. Coli)

"In recent years, single-cell biology has focused on the relationship between the stochastic nature of molecular interactions and variability of cellular behavior. To describe this relationship, it is necessary to develop new computational approaches at the single cell level.

We have developed AgentCell, a model using agent-based technology to study the relationship between stochastic intracellular processes and behavior of individual cells. As a test-bed for our approach we use bacterial chemotaxis, one of the best-characterized biological systems. In this model, each bacterium is an agent equipped with its own chemotaxis network, motors and flagella. Swimming cells are free to move in a 3D environment. Digital chemotaxis assays reproduce experimental data obtained from both single cells and bacterial populations."



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Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.

BIOINFORMATICS IN THE 21st CENTURY

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