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Mathematical Biology Seminar

 

 

Tuesday, 02/12/2019, at 4:10 - 5:00

 

 

SPARK 327

 

 

 

 

Mathematical Modeling of Gene Networks

 

 

Allison Fisher

Graduate Student

 

 

Dept. of Mathematics and Statistics, WSU

 

 

 

 

 

Abstract

 

 

 

Intuition alone is not sufficient in order to understand complex biochemical systems such as gene networks. Mathematical modeling of gene networks helps to paint a coherent picture of how these networks operate given the multiple interactions that occur. Mathematical models are particularly useful in studying non-linear interactions such as those dependent on oligomerization of (transcription factors) TFs, and for predicting the effects of biochemical time delays, such as are required for intracellular transport of macromolecules. Mathematical models are also useful for integrating large gene expression datasets, such as time courses of gene expression in response to pharmacological or hormonal stimuli, or during development. This review by Paul Smolen, Douglas A. Baxter, and John H. Byrne compares the advantages and disadvantages of commonly used methods for modeling gene networks. [1]

 

[1] “Mathematical Modeling of Gene Networks,” Paul Smolen, Douglas A. Baxter,
and John H. Byrne,
Neuron, Vol. 26, 567–580, June, 2000, Copyright 2000 by Cell Press

 

https://www.cell.com/action/showPdf?pii=S0896-6273%2800%2981194-0