Results 51 to 60 of about 5,034,704 (247)
Statistical inference of regulatory networks for circadian regulation [PDF]
The work described in the present article is part of the TiMet project on linking the circadian clock to metabolism in plants. TiMet is a collaborative project (Grant Agreement 245143) funded by the European Commission FP7, in response to call FP7-KBBE ...
Aderhold, Andrej +2 more
core +1 more source
Dynamical methods for target control of biological networks
Estimating the influence that individual nodes have on one another in a Boolean network is essential to predict and control the system’s dynamical behaviour, for example, detecting key therapeutic targets to control pathways in models of biological ...
Thomas Parmer, Filippo Radicchi
doaj +1 more source
An extended Kalman filtering approach to modeling nonlinear dynamic gene regulatory networks via short gene expression time series [PDF]
Copyright [2009] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Liu, Y +4 more
core +1 more source
Development is characterized by dynamic changes in gene expression as cells traverse genetic pathways and make lineage-specific commitments. Transcription factors, which drive gene expression, and microRNAs, the largest class of post-transcriptional ...
Fakhira H. Nazki, Cameron P. Bracken
doaj +1 more source
Reciprocal control of viral infection and phosphoinositide dynamics
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
Background Gene regulatory networks play essential roles in living organisms to control growth, keep internal metabolism running and respond to external environmental changes.
Dickerson Julie A +2 more
doaj +1 more source
On Hybrid Gene Regulatory Networks
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
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
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 +3 more
wiley +1 more source
Background Mathematical models of biological networks can provide important predictions and insights into complex disease. Constraint-based models of cellular metabolism and probabilistic models of gene regulatory networks are two distinct areas that ...
Han Yu, Rachael Hageman Blair
doaj +1 more source
XGRN: Reconstruction of Biological Networks Based on Boosted Trees Regression
In Systems Biology, the complex relationships between different entities in the cells are modeled and analyzed using networks. Towards this aim, a rich variety of gene regulatory network (GRN) inference algorithms has been developed in recent years ...
Georgios N. Dimitrakopoulos
doaj +1 more source

