Results 41 to 50 of about 8,163,121 (296)

Dynamic Bayesian networks in molecular plant science: inferring gene regulatory networks from multiple gene expression time series [PDF]

, 2011
To understand the processes of growth and biomass production in plants, we ultimately need to elucidate the structure of the underlying regulatory networks at the molecular level.
Dondelinger, F., Husmeier, D., Dondelinger, Frank, Dirk Husmeier, Frank Dondelinger, Husmeier, Dirk, Lebre, S., Sophie Lèbre, Lèbre, Sophie   +8 more
core   +1 more source

Homeostasis in gene regulatory networks

International Journal of Biomathematics
Gene regulatory networks lie at the heart of many important intracellular signal transduction processes. A Gene Regulatory Network (GRN) is abstractly defined as a directed graph, where the nodes represent genes and the edges represent the causal regulatory interactions between genes. It can be used to construct mathematical models describing the time-
Fernando Antoneli, Martin Golubitsky, Jiaxin Jin, Ian Stewart   +3 more
openaire   +2 more sources

Efficient reverse-engineering of a developmental gene regulatory network. [PDF]

PLoS Computational Biology, 2012
Understanding the complex regulatory networks underlying development and evolution of multi-cellular organisms is a major problem in biology. Computational models can be used as tools to extract the regulatory structure and dynamics of such networks from
Anton Crombach, Karl R Wotton, Damjan Cicin-Sain, Maksat Ashyraliyev, Johannes Jaeger   +4 more
doaj   +1 more source

Evolution of Evolvability in Gene Regulatory Networks

PLoS Computational Biology, 2008
Gene regulatory networks are perhaps the most important organizational level in the cell where signals from the cell state and the outside environment are integrated in terms of activation and inhibition of genes. For the last decade, the study of such networks has been fueled by large-scale experiments and renewed attention from the theoretical field.
Anton Crombach, Paulien Hogeweg
openaire   +6 more sources

A novel mutual information-based Boolean network inference method from time-series gene expression data.

PLoS ONE, 2017
BackgroundInferring a gene regulatory network from time-series gene expression data in systems biology is a challenging problem. Many methods have been suggested, most of which have a scalability limitation due to the combinatorial cost of searching a ...
Shohag Barman, Yung-Keun Kwon
doaj   +1 more source

Reciprocal control of viral infection and phosphoinositide dynamics

FEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

Modelling nonstationary gene regulatory processes [PDF]

, 2010
An important objective in systems biology is to infer gene regulatory networks from postgenomic data, and dynamic Bayesian networks have been widely applied as a popular tool to this end.
Husmeier, D., Rahnenführer, J., Dirk Husmeier, Marco Grzegorcyzk, Grzegorcyzk, M., Jörg Rahnenführer   +5 more
core   +1 more source

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

FEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes, Guilherme M. Azevedo, Amanda P. Barcellos, Diana Bahia   +3 more
wiley   +1 more source

On Hybrid Gene Regulatory Networks

CoRR
In this work, we study a class of hybrid dynamical systems called hybrid gene regulatory networks (HGRNs) which was proposed to model gene regulatory networks. In HGRNs, there exist well-behaved trajectories that reach a fixed point or converge to a limit cycle, as well as chaotic trajectories that behave non-periodic or indeterministic.
Adrian Wurm, Honglu Sun
openaire   +3 more sources

Regulatory network operations in the Pathway Tools software

BMC Bioinformatics, 2012
Background Biologists are elucidating complex collections of genetic regulatory data for multiple organisms. Software is needed for such regulatory network data.
Paley Suzanne M, Latendresse Mario, Karp Peter D   +2 more
doaj   +1 more source