activity
20042026
most citedIntrinsic limits to gene regulation by global crosstalk

90 citations · 168 across the 5 of their papers we have counts for

collaborators

6 papers

q-bio.PE2026

Long-term evolution of regulatory DNA sequences. Part 1: Simulations on global, biophysically-realistic genotype-phenotype maps

Elia Mascolo, Réka Borbély, Santiago Herrera-Álvarez +3

Promoters and enhancers are cis-regulatory elements (CREs), DNA sequences that bind transcription factor (TF) proteins to up- or down-regulate target genes. Decades-long efforts yi…

q-bio.MN2017★ 60 cited

Statistical mechanics for metabolic networks during steady-state growth

Daniele De Martino, Anna MC Andersson, Tobias Bergmiller +2

Which properties of metabolic networks can be derived solely from stoichiometric information about the network's constituent reactions? Predictive results have been obtained by Flu…

q-bio.MN2015★ 90 cited

Intrinsic limits to gene regulation by global crosstalk

Tamar Friedlander, Roshan Prizak, Călin C. Guet +2

Gene regulation relies on the specificity of transcription factor (TF) - DNA interactions. In equilibrium, limited specificity may lead to crosstalk: a regulatory state in which a…

cs.CE2015

Efficient reduction of Kappa models by static inspection of the rule-set

Andreea Beica, Calin Guet, Tatjana Petrov

When designing genetic circuits, the typical primitives used in major existing modelling formalisms are gene interaction graphs, where edges between genes denote either an activati…

cs.CE2014

Model Checking Gene Regulatory Networks

Mirco Giacobbe, Calin C. Guet, Ashutosh Gupta +3

The behaviour of gene regulatory networks (GRNs) is typically analysed using simulation-based statistical testing-like methods. In this paper, we demonstrate that we can replace th…

q-bio.MN2004★ 18 cited

Modeling network dynamics: the lac operon, a case study

J. M. G. Vilar, C. C. Guet, S. Leibler

We use the lac operon in Escherichia coli as a prototype system to illustrate the current state, applicability, and limitations of modeling the dynamics of cellular networks. We in…