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

Abstract excerpt

Faced with the current large-scale public health emergency, collecting, sorting, and analyzing biomedical information related to the “coronavirus” should be done as quickly as possible to gain a global perspective, which is a basic requirement for strengthening epidemic control capacity. However, for human researchers studying the viruses and the hosts, the vast amount of information available cannot be processed...

Topics

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• Algorithms
• Biological Ontologies
• Data Interpretation, Statistical
• Data Mining
• Disease
• interferon and immune responses
• SARS-CoV-2 and COVID-19 Research
• vaccines and immunoinformatics approaches

Identifiers and source

Literature Corpus work

c7fe9a3e-7c8b-5ee2-b4f7-31075ef50174

DOI

10.1101/2020.02.27.967588