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The cardiac-specific PPI network was built by retrieving relatively high confident protein interactions (confidence score: 0.7) from STRING and gene expression data for MI Wistar rat hearts from GEO (accession number: GDS808).
Aiming at increasing the efficiency and the reliability of the PRODISTIN classification for large networks, we used in the computation of the distance, the interactions' confidence scores provided in the different large-scale experiments.
Applied to the evaluated protein interaction sets of S. cerevisae and D. melanogaster, we observe a strong and significant correlation between an interactions confidence and the expectation value of the underlying highest scoring domain interaction.
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Thus, the higher the interaction confidence score between two proteins is, the closer their "interactive distance," and hence more intimate between them.
Using a modified version of Chen and Starosta's Intercultural Sensitivity Scale (ISS), the study sought to identify which of the five ISS dimensions played the most influential role in intercultural sensitivity outcomes: interaction enjoyment, interaction engagement, interaction confidence, interaction attentiveness, or respect for cultural differences.
Protein-protein interaction confidence values were calculated as per [40] and clustering coefficients calculated as per [55].
In the network, each edge is marked with a score as the edge weight to quantify the interaction confidence, i.e., the likelihood that an interaction occurs.
To avid the problem, we used the interaction confidence score (i.e. edge weight) in the network-based method as described above.
The interaction confidence score is used as the edge weight to represent the likelihood that a predicted association exists between two nodes.
STRING predicted interaction confidence scores are given in Table 1.
In addition, DASMI fosters the inclusion of novel interaction data and interaction confidence scoring methods.
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