Advances and Computational Tools towards Predictable Design in Biological Engineering
Joint Authors
Pasotti, Lorenzo
Zucca, Susanna
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-03
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The design process of complex systems in all the fields of engineering requires a set of quantitatively characterized components and a method to predict the output of systems composed by such elements.
This strategy relies on the modularity of the used components or the prediction of their context-dependent behaviour, when parts functioning depends on the specific context.
Mathematical models usually support the whole process by guiding the selection of parts and by predicting the output of interconnected systems.
Such bottom-up design process cannot be trivially adopted for biological systems engineering, since parts function is hard to predict when components are reused in different contexts.
This issue and the intrinsic complexity of living systems limit the capability of synthetic biologists to predict the quantitative behaviour of biological systems.
The high potential of synthetic biology strongly depends on the capability of mastering this issue.
This review discusses the predictability issues of basic biological parts (promoters, ribosome binding sites, coding sequences, transcriptional terminators, and plasmids) when used to engineer simple and complex gene expression systems in Escherichia coli.
A comparison between bottom-up and trial-and-error approaches is performed for all the discussed elements and mathematical models supporting the prediction of parts behaviour are illustrated.
American Psychological Association (APA)
Pasotti, Lorenzo& Zucca, Susanna. 2014. Advances and Computational Tools towards Predictable Design in Biological Engineering. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-466593
Modern Language Association (MLA)
Pasotti, Lorenzo& Zucca, Susanna. Advances and Computational Tools towards Predictable Design in Biological Engineering. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-16.
https://search.emarefa.net/detail/BIM-466593
American Medical Association (AMA)
Pasotti, Lorenzo& Zucca, Susanna. Advances and Computational Tools towards Predictable Design in Biological Engineering. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-466593
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-466593