Using protein-protein interaction data, we constructed a T2D-specific molecular interaction network consisting of T2D genetic risk genes and their interacting gene partners.
Li et al. [19] proposed a paradigm that integrates molecular interaction network mining and text mining techniques.
This tight coupling between a protein's function and its interconnections in the molecular interaction network has consequences for the molecular course of evolution.
Using the data obtained, the general molecular interaction network was created in CellDesigner v4.0.1 [18].
We obtained PPIs from HPRD and constructed a molecular interaction network.
Therefore, the molecular interaction network of F. graminearum can provide insights into the pathogenesis of the destructive fungus.
To find densely connected regions in the molecular interaction network, MCODE, a density-based local search algorithm, was applied.
In the current work, we reanalyze the CS-HM transcriptional data in the light of an underlying molecular interaction network.
The goal was to assign each possible cell cycle control associated transcription factor to at least one network motif according to the combined molecular interaction network.
The significant network motifs in the combined molecular interaction network were first established and assigned to at least one transcription factor.
We demonstrate that complex disease genes are less central to the essential and monogenic disease genes in the molecular interaction network.
