Perrino, Giansimone (2017) Modeling and control of gene expression dynamics in yeast. [Tesi di dottorato]
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Item Type: | Tesi di dottorato |
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Resource language: | English |
Title: | Modeling and control of gene expression dynamics in yeast |
Creators: | Creators Email Perrino, Giansimone giansimone@gmail.com |
Date: | 7 April 2017 |
Number of Pages: | 121 |
Institution: | Università degli Studi di Napoli Federico II |
Department: | Ingegneria Elettrica e delle Tecnologie dell'Informazione |
Dottorato: | Information technology and electrical engineering |
Ciclo di dottorato: | 29 |
Coordinatore del Corso di dottorato: | nome email Riccio, Daniele daniele.riccio@unina.it |
Tutor: | nome email di Bernardo, Diego UNSPECIFIED di Bernardo, Mario UNSPECIFIED |
Date: | 7 April 2017 |
Number of Pages: | 121 |
Keywords: | control theory; synthetic biology; gene expression; mathematical modeling |
Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-IND/34 - Bioingegneria industriale Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 - Automatica |
Date Deposited: | 09 May 2017 14:40 |
Last Modified: | 08 Mar 2018 13:33 |
URI: | http://www.fedoa.unina.it/id/eprint/11610 |
DOI: | 10.6093/UNINA/FEDOA/11610 |
Collection description
Synthetic biology is a novel research field which aims to engineer new functionalities in living cells with the final goal of controlling cellular behavior for a number of uses, ranging from energy, to environment, to medicine. Here, I contributed to the emerging role of control theory in synthetic biology. Exploring the concept of negative feedback loop, I extended the field of controlling cellular processes by devising novel approaches to model and control gene expression dynamics in a population of living cells.
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