caa a22 4500 445330449 CHVBK 20180317142735.0 cr unu---uuuuu 170323e20110501xx s 000 0 eng 10.1007/s00285-010-0350-z doi (NATIONALLICENCE)springer-10.1007/s00285-010-0350-z Derivation, identification and validation of a computational model of a novel synthetic regulatory network in yeast [Elektronische Daten] [Lucia Marucci, Stefania Santini, Mario di Bernardo, Diego di Bernardo] Systems biology aims at building computational models of biological pathways in order to study in silico their behaviour and to verify biological hypotheses. Modelling can become a new powerful method in molecular biology, if correctly used. Here we present step-by-step the derivation and identification of the dynamical model of a biological pathway using a novel synthetic network recently constructed in the yeast Saccharomyces cerevisiae for In-vivo Reverse-Engineering and Modelling Assessment. This network consists of five genes regulating each other transcription. Moreover, it includes one protein-protein interaction, and its genes can be switched on by addition of galactose to the medium. In order to describe the network dynamics, we adopted a deterministic modelling approach based on non-linear differential equations. We show how, through iteration between experiments and modelling, it is possible to derive a semi-quantitative prediction of network behaviour and to better understand the biology of the pathway of interest. Springer-Verlag, 2010 Mathematical modelling nationallicence Synthetic biology nationallicence Hill functions nationallicence Parameters identification nationallicence Marucci Lucia Telethon Institute of Genetics and Medicine (TIGEM), 80131, Naples, Italy aut Santini Stefania Department of Computer and Systems Engineering, Federico II University, 80125, Naples, Italy aut di Bernardo Mario Department of Computer and Systems Engineering, Federico II University, 80125, Naples, Italy aut di Bernardo Diego Telethon Institute of Genetics and Medicine (TIGEM), 80131, Naples, Italy aut Journal of Mathematical Biology Springer-Verlag 62/5(2011-05-01), 685-706 0303-6812 62:5<685 2011 62 285 https://doi.org/10.1007/s00285-010-0350-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00285-010-0350-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Marucci Lucia Telethon Institute of Genetics and Medicine (TIGEM), 80131, Naples, Italy aut NATIONALLICENCE 700 1- Santini Stefania Department of Computer and Systems Engineering, Federico II University, 80125, Naples, Italy aut NATIONALLICENCE 700 1- di Bernardo Mario Department of Computer and Systems Engineering, Federico II University, 80125, Naples, Italy aut NATIONALLICENCE 700 1- di Bernardo Diego Telethon Institute of Genetics and Medicine (TIGEM), 80131, Naples, Italy aut NATIONALLICENCE 773 0- Journal of Mathematical Biology Springer-Verlag 62/5(2011-05-01), 685-706 0303-6812 62:5<685 2011 62 285 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer