Selected article for: "field necessary knowledge and hr label"
Author: Xiaoyang Ji; Chunming Zhang; Yubo Zhai; Zhonghai Zhang; Chunli Zhang; Yiqing Xue; 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_3_2
    • ID: eaglecq7_14
    Snippet: Specifically, Spike proteins (S proteins) of different coronaviruses recognize different receptor molecules on human cells, such as ACE2 (binds to Spike proteins in SARS and SARS-CoV-2 virus) and DPP4 (binds to Spike protein in MERS virus). We found that these two genes are assigned to the C5 category, which has a corresponding HR label of "Spike protein (S) of coronavirus", suggesting that TWIRLS can automatically provide an interface to summari.....
    Document: Specifically, Spike proteins (S proteins) of different coronaviruses recognize different receptor molecules on human cells, such as ACE2 (binds to Spike proteins in SARS and SARS-CoV-2 virus) and DPP4 (binds to Spike protein in MERS virus). We found that these two genes are assigned to the C5 category, which has a corresponding HR label of "Spike protein (S) of coronavirus", suggesting that TWIRLS can automatically provide an interface to summarize human findings and help human experts quickly understand the research directions and necessary knowledge in this field.

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