As discussed above, this is related to the existence of tight regulatory networks that precisely orchestrate specialized metabolite production in bacteria and respond to different environmental and intracellular signals [ 49, 86, 107].
Mathematical modeling is used as a Systems Biology tool to answer biological questions, and more precisely, to validate a network that describes biological observations and predict the effect of perturbations.
In Lisbon I pop out for a routine run and am treated to something better: the sharp incline of Eduardo VII Park, a slanting rectangle of cobblestone framing a network of precisely manicured hedges that resemble a maze.
To this end, the aim of this study is to design a learning algorithm to train a neural network that can estimate affine parameters precisely.
More precisely, a subvalidated network that includes only evidence (20 nodes and 28 interactions) for our predicted interactions was extracted as shown in Figure 6(b).
Only a well-fitting network model that precisely reproduces the network structure and laws through which the network has emerged can enable us to understand and replicate the underlying biological processes.
The rapid development of synthetic biology is a paradigm of how the molecular diversity of naturally occurring gene control components can be used to design synthetic control devices and gene networks that provide precisely programmed transgene expression dynamics in space and time.
By combining simple regulatory interactions, such as negative and positive feedback and feed forward loops, one may create more intricate networks that precisely control the production of protein molecules, such as bistable switches, oscillators, and filters.
Nobody can answer that precisely.
Cell fates are specified robustly and precisely by gene regulatory networks that pattern embryos (Davidson, 2006).
