Difference between revisions of "Category:Synthetic Biology"

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(New page: == Synthetic Biology == Synthetic Biology; is the interdisciplinary development of tools and methods to create novel organisms. Synthetic Biology seeks to apply and synthesise the informa...)
 
 
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== Synthetic Biology ==
 
 
Synthetic Biology; is the interdisciplinary development of tools and methods to create novel organisms. Synthetic Biology seeks to apply and synthesise the information derived from [[:Category:Systems_Biology| systems biology]] and [[:Information engineering|Information Engineering]] and apply these using the tools and building blocks provided from the field of [[Biochemistry]]. In addition, the results generated from Synthetic Biology will feed-back into [[:Category:Systems_Biology| systems biology]] to provide an additional proving ground for the proposed models and philosophies.
 
 
<blockquote><pre>"Synthetic Biology offers new tools for research and a new framework for biotechnologies. Until now, biotechnological
 
and biomanufacturing processes have been confined largely to the use of single genes or proteins in bespoke applications,
 
each requiring its own specific set of tools and reagent. Synthetic Biology brings the prospect of universal tool kits
 
and interchangeable components combined to construct biological pathways and more complex systems, including artificial
 
cells. An example is the potential to design and produce biological fermentation processes that can convert non-edible
 
parts of food crops and wastes into energy." ''Professor Nigel Brown, BBSRC Director of Science and Technology''"</pre></blockquote>
 
 
  
 
Synthetic Biology is a new research field which aims in designing new or modifying existing biological pathways in order to produce systems with superior or different properties, usually for a novel application. In the related field of systems biology, it is recognized that it is impossible to infer the biological network behaviour by just listing its components but rather the whole feedback mechanism linking them needs to be considered; the same is true in every Synthetic Biology design. However, these designs need to be implemented inside a cellular environment and a major challenge that synthetic biology has to face is that the effect of the interactions of the new pathways with the cellular environment need to be taken into account during the design or redesign process. This is unlike any other engineering design procedure, such as electrical circuit or computer engineering design, where the behaviour of simple parts (e.g., resistors), of more complicated components (e.g., transistors) or even of whole systems (e.g., complete circuits) can be predicted (and eventually measured and verified) efficiently after implementation. This unique feature to Synthetic Biology designs poses new challenges to engineering and mathematics. At the same time, many engineering disciplines, such as control and computer engineering, have for years been dealing with the analysis and design of complex systems that have to operate robustly in uncertain environments and therefore have a lot to contribute towards constructing biological modules, whether these are parts, pathways, artificial cells or cultures/tissues with performance guarantees within an uncertain environment.
 
Synthetic Biology is a new research field which aims in designing new or modifying existing biological pathways in order to produce systems with superior or different properties, usually for a novel application. In the related field of systems biology, it is recognized that it is impossible to infer the biological network behaviour by just listing its components but rather the whole feedback mechanism linking them needs to be considered; the same is true in every Synthetic Biology design. However, these designs need to be implemented inside a cellular environment and a major challenge that synthetic biology has to face is that the effect of the interactions of the new pathways with the cellular environment need to be taken into account during the design or redesign process. This is unlike any other engineering design procedure, such as electrical circuit or computer engineering design, where the behaviour of simple parts (e.g., resistors), of more complicated components (e.g., transistors) or even of whole systems (e.g., complete circuits) can be predicted (and eventually measured and verified) efficiently after implementation. This unique feature to Synthetic Biology designs poses new challenges to engineering and mathematics. At the same time, many engineering disciplines, such as control and computer engineering, have for years been dealing with the analysis and design of complex systems that have to operate robustly in uncertain environments and therefore have a lot to contribute towards constructing biological modules, whether these are parts, pathways, artificial cells or cultures/tissues with performance guarantees within an uncertain environment.
 
== Current Network Synthetic Biologists ==
 
 
[[:Antonis Papachristodoulou]]
 

Latest revision as of 17:59, 19 December 2008

Synthetic Biology is a new research field which aims in designing new or modifying existing biological pathways in order to produce systems with superior or different properties, usually for a novel application. In the related field of systems biology, it is recognized that it is impossible to infer the biological network behaviour by just listing its components but rather the whole feedback mechanism linking them needs to be considered; the same is true in every Synthetic Biology design. However, these designs need to be implemented inside a cellular environment and a major challenge that synthetic biology has to face is that the effect of the interactions of the new pathways with the cellular environment need to be taken into account during the design or redesign process. This is unlike any other engineering design procedure, such as electrical circuit or computer engineering design, where the behaviour of simple parts (e.g., resistors), of more complicated components (e.g., transistors) or even of whole systems (e.g., complete circuits) can be predicted (and eventually measured and verified) efficiently after implementation. This unique feature to Synthetic Biology designs poses new challenges to engineering and mathematics. At the same time, many engineering disciplines, such as control and computer engineering, have for years been dealing with the analysis and design of complex systems that have to operate robustly in uncertain environments and therefore have a lot to contribute towards constructing biological modules, whether these are parts, pathways, artificial cells or cultures/tissues with performance guarantees within an uncertain environment.

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