Figure 1.
Path diagram for apoptotic genetic network.
Two optimal regulatory pathways obtained by the present method are shown by bold black arrows, and one extreme regulatory pathway obtained by the extreme pathway analysis is shown by white arrows.
Figure 2.
Path diagram for the subnetwork indicating the main interactions between GAD and GABA-receptors during the development of rat cervical spinal cord.
The optimal regulatory pathway is shown by bold black arrows and the extreme regulatory pathway is shown by white arrows.
Figure 3.
Path diagram for the Th regulatory network that controls the differentiation of Th cells in human.
The optimal regulatory pathway is shown by bold black arrows and the extreme regulatory pathway is shown by white arrows.
Figure 4.
Path diagram for the Th regulatory network that controls the differentiation of Th cells in mouse with feedback.
The optimal regulatory pathway is shown by bold black arrows and the extreme regulatory pathway is shown by white arrows.
Figure 5.
Fermentative hydrogen production pathway from glucose by E. coli.
The bold white arrows are the pathways inactivated by disrupting ldhA and frdBC, and the bold black arrows are the pathways enhanced by disrupting hycA and over expressing fhlA.
Table 1.
Values of flux vectors for the system in Fig. 5.
Figure 6.
A hypothetical reaction network.
The three dots indicates the continuation of the biochemical reactions from to
involving s different paths to reach the target gene. The reactions
,
and
, involving the target gene, are shown in the diagram.
Figure 7.
Incorporation of feedback loop.
The feedback loop around the node corresponding to gene is replaced by considering a hypothetical node
, and edges (
) and (
).