Resolution:
## Figure 4.
Characteristics of the
C. jejuni protein network. (a) Degree frequency distribution for the entire two-hybrid dataset (CampyYTH v3.1). k
= degree, the number of connections to a protein. P(k) = the probability that a node
has k connections. A power law fit yields: y = 0.4153 x^{-1.29}; R^{2 }= 0.88. (b) Degree frequency distribution for the high confidence dataset (confidence scores >
0.5). A power law fit yields: y = 482.2 x^{-1.53}, R^{2 }= 0.89. (c) Rank-degree distribution for the entire two-hybrid dataset. The semi-log plot more
closely fits an exponential curve (red line, R^{2 }= 0.97) than a power law curve (black line, R^{2 }= 0.81). (d) Rank-degree distribution for the high confidence data. The semi-log plot more closely
fits a power law curve (black line, R^{2 }= 0.91) consistent with a scale-free network. (e, f) The distribution of the average clustering coefficient (C) for degree k for the entire
two-hybrid dataset (e) and the high confidence set (f). C is equal to the number of
interactions among a protein's interactors as a fraction of all possible interactions.
(g) Frequency of pathlength (the shortest distance in interactions between two nodes)
for the entire dataset. (h) Frequency of pathlength for the high confidence data.
Parrish |