Edda Klipp, Max Planck Institute for Molecular Genetics
"Dynamic modeling of yeast cell stress response"
Uses differential equations to define reactions in the system. Handles lack of parameters using a combination of interaction data , text mining, and parameter estimation/optimization approaches. Models the osmotic stress response pathway. The complete model is very complex and includes input flux of the glucose; it follows directed experiments well.
Also a model for the yeast cell cycle, incorporating phenotypic data such as cell size allows for the explanation of critical cell size in cell division. Also can predict mutant phenotypes and population effects.
Im not sure about her results but the jist is:
"mathematical models for cellular processes allow for a testable representation of experimental knowledge"