Difference between revisions of "Team:CUNY Kingsborough/Description"

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<p>One of the challenges in synthetic biology is characterizing the random nature of most synthetic biological systems. Where engineered physical systems can be predicted accurately, similar attempts to predict biologically engineered systems as accurately as physical systems have been a challenge. However, not enough research has been done to study how to harness the natural randomness of biological systems. For instance, the waste treatment industry spends a significant amount of energy in maintaining biosystems for waste treatment.  Therefore, creating a stable biosystem is desirable for industrial purposes. The reaction-diffusion system, first proposed by Alan Turing, offers an attractive solution. Using the random diffusion of activators and inhibitors-it is worth exploring how to harness the randomness of this system to create a stable biosystem.</p>
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<div class="body1 defaultpadding">One of the challenges in synthetic biology is characterizing the random nature of most synthetic biological systems. Where engineered physical systems can be predicted accurately, similar attempts to predict biologically engineered systems as accurately as physical systems have been a challenge. However, not enough research has been done to study how to harness the natural randomness of biological systems. For instance, the waste treatment industry spends a significant amount of energy in maintaining biosystems for waste treatment.  Therefore, creating a stable biosystem is desirable for industrial purposes. The reaction-diffusion system, first proposed by Alan Turing, offers an attractive solution. Using the random diffusion of activators and inhibitors-it is worth exploring how to harness the randomness of this system to create a stable biosystem.</div>
 
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Revision as of 02:30, 7 October 2018

Background Design Experiments Results
Overview Modeling 101 Light Operon Turing Patterns CRISPR-Cas13a
Human Practices Public Engagement
Team Members Collaborations Attributions


Description
One of the challenges in synthetic biology is characterizing the random nature of most synthetic biological systems. Where engineered physical systems can be predicted accurately, similar attempts to predict biologically engineered systems as accurately as physical systems have been a challenge. However, not enough research has been done to study how to harness the natural randomness of biological systems. For instance, the waste treatment industry spends a significant amount of energy in maintaining biosystems for waste treatment. Therefore, creating a stable biosystem is desirable for industrial purposes. The reaction-diffusion system, first proposed by Alan Turing, offers an attractive solution. Using the random diffusion of activators and inhibitors-it is worth exploring how to harness the randomness of this system to create a stable biosystem.