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Project aims to fuse top-down, bottom-up approaches in systems biology
Date:5/4/2011

, thereby allowing efficient and automated data-driven analysis to augment models that can be simulated."

The advantage of the collaborative research is the merging of the expertise of the three researchers. Murali conducts research in network and combinatorial algorithms in the context of systems biology. Tyson's group has used differential equations to model regulatory networks for over 20 years. Peccoud is a molecular geneticist by training, and has proposed methods to map genotypes to phenotypes using differential equation models of molecular networks.

The three scientists will develop a framework for generating hypotheses from top-down models, test these hypotheses by integrating them into bottom-up models, and validating the hypotheses using experiments. They will use these developments to study cell division in budding yeast.

"With an improved understanding of cell cycle regulation in budding yeast, we should be able to suggest novel experiments that provide a better understanding of molecular control systems," Murali explained. Murali projected that the "methods developed in this project should be relevant to the study of any complex cellular system, including the development of cancer and the spread of infectious diseases. If we are successful, our project will result in significant advances in computationally driven experimental biology."


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Contact: Lynn Nystrom
tansy@vt.edu
540-231-4371
Virginia Tech
Source:Eurekalert  

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