Sentence examples for simulation of regulatory from inspiring English sources

Extensions of flux balance analysis (FBA) (Kauffman et al. 2003), such as regulated FBA (rFBA) (Covert and Palsson 2002) and steady-state regulated FBA (SR-FBA) (Shlomi et al. 2007) incorporate boolean rules into constraint-based models for integrated simulation of regulatory and metabolic networks.

Here, we use this concept to enable a quantitative probabilistic simulation of regulatory networks.

Hence, this extension enables a semi-quantitative probabilistic simulation of regulatory networks in a bipartite PBN format.

The presented extension of the Boolean approach to a probabilistic Boolean network allows for a stochastic simulation of regulatory and signaling networks, which are already presented in the rxncon formalism.

The objective nodes in our reconstruction monitor producibility of the BAs chenodiol and cholate in the cytoplasm, endoplasmic reticulum, bile canalicular and sinusoidal space; the producibility of cholesterol was also monitored in these compartments, allowing simulation of regulatory feedback.

We performed computer simulations of regulatory mechanisms in embryonic development, and the results are described and compared with experimental observations.

Obvious examples of such phenomena are inductive processes or external (e. g. seasonal) cues that are essential to trigger many developmental pathways (as described in standard textbooks such as [ 83, 84]), or evolutionary dynamics driven by changing environmental conditions (examples, based on the simulation of gene regulatory network models, can be found in [ 85- 88]).

Modeling and simulation of gene-regulatory networks (GRNs) has become an important aspect of modern computational biology investigations into gene regulation.

Modeling and simulation of gene-regulatory networks (GRNs) has become an important aspect of modern systems biology investigations into mechanisms underlying gene regulation.

Session 2 focused on best practice and reporting of PBPK modeling and simulation for regulatory submission.

This paper presents a simulation of a complex regulatory system – the interaction of cumulative travel decisions, alternative regulatory regimes, and landscape values – using a case study of a landscape adjoining Las Cruces, New Mexico.