CRM: Centro De Giorgi
logo sns
Stochastic Networks and Internet Technology

communication: Emergent topology of the transcriptional regulatory network of the yeast

speaker: Alkan Kabakcioglu (Koc University, Istanbul, Turkey)

abstract: The regulation of gene expression in a cell relies to a major extent on transcription factors, proteins which recognize and bind the DNA at specific binding sites within promoter regions associated with each gene. We present an information theoretic approach to modelling transcriptional regulatory networks, in terms of a simple "sequence-matching" rule and the statistics of the occurrence of binding sequences of given specificity in random promoter regions. The crucial biological input is the distribution of the amount of information coded in these cognate responsive elements and the length distribution of the promoter regions. We provide an analysis of the transcriptional regulatory network of yeast Saccharomyces cerevisiae, which we extract from the available databases, with respect to the degree distribution, clustering coefficient, degree correlations, rich-club coefficient and the -core structure. We find that these topological features are in remarkable agreement with those predicted by our model.


timetable:
Fri 21 Sep, 15:00 - 15:30, Aula Dini
<< Go back