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Team:BYUProvo/Modeling
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1) Create a model using Mass-Action Enzyme Kinematics | 1) Create a model using Mass-Action Enzyme Kinematics | ||
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2) Analyze this model using computational methods | 2) Analyze this model using computational methods | ||
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3) Create an algorithm to predict the structure of our RNA thermosensors | 3) Create an algorithm to predict the structure of our RNA thermosensors | ||
Revision as of 15:29, 1 October 2012
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Introduction
Colon cancer polyps produce high amounts of reactive oxygen species (ROS) and lactate. The high metabolic activity also causes an increase in temperature. Sensors for any one of these inputs alone would be confounded by normal physiological variation in temperature, lactate concentration, and ROS concentration. We propose a system designed to detect higher than normal levels of all three, producing two separate outputs.
Insert picture of model here
In order to model our system, we have undertaken 3 main tasks:
1) Create a model using Mass-Action Enzyme Kinematics
2) Analyze this model using computational methods
3) Create an algorithm to predict the structure of our RNA thermosensors
We start first, creating a system of differential equations from our reaction sequence.
