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The structure of the pathway is generated as random networks.
The closed-loop control system structure of the pathway can be represented as in Figure 8.
(See the graph structure of the pathway near cysteine in Figure 6).
However, relatively little is known about the structure of the pathway in these organisms.
This additional information already assists in inferring some form of causality to the network structure of the pathway.
The basic structure of the pathway was reviewed in this article, together with results of the clinical studies targeting mTOR for cancer therapy.
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Consequently, considerable information is needed for describing pathways and characterizing the function and structure of the pathways.
In other words, we are not interested in learning the structure of the pathways from the data (see [ 11]); instead, we exploit the available biological knowledge to define appropriate statistical analyses.
The approach proposed here offers a conceptually new way of understanding the functional consequences of changes in gene activity associated to any comparison of conditions by taking into account the internal structure of the pathways.
The structures of the pathway in E. coli and S. cerevisiae are similar, with two exceptions (Fig. 1b).
Neither the constituents nor the structure of that pathway has been defined.
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