Selected article for: "interaction network and protein protein"
Author: Xiaoyang Ji; Chunming Zhang; Yubo Zhai; Zhonghai Zhang; Yiqing Xue; Chunli Zhang; Guangming Tan; Gang Niu
Title: TWIRLS, an automated topic-wise inference method based on massive literature, suggests a possible mechanism via ACE2 for the pathological changes in the human host after coronavirus infection
  • Document date: 2020_2_26
    • ID: f21dknmb_16
    Snippet: We coupled the data with gene interaction/regulation databases and constructed a generalized protein-protein interaction network (PPI network) among 119 genes out of the 123 CSHGs. We defined the direct interaction between two genes as a 1 degree (1 o ) interaction, and the indirect interaction connecting two genes through a gene as a 2 degree (2 o ) interaction. All the genes in the 1 o networks mined in the PPI database are shown in Figure 2 . .....
    Document: We coupled the data with gene interaction/regulation databases and constructed a generalized protein-protein interaction network (PPI network) among 119 genes out of the 123 CSHGs. We defined the direct interaction between two genes as a 1 degree (1 o ) interaction, and the indirect interaction connecting two genes through a gene as a 2 degree (2 o ) interaction. All the genes in the 1 o networks mined in the PPI database are shown in Figure 2 . The results after deduplication showed 2,004 pairs in the 119 CSHGs (see Table S1 , Sheet 4). As a control, the average interactions of 119 randomly selected genes in the database showed between 252 to 612 pairs (average 220.16, standard deviation 35.15). Compared to random genes, the regulatory connections between CSHGs were significantly enriched (Z score = 50.97).

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