Literature-based automated discovery of tumor suppressor p53 phosphorylation and inhibition by NEK2

Byung-Kwon Choi
Byung-Kwon Choi
Ilya B Novikov
Ilya B Novikov
Peter J Haas
Peter J Haas
Jacques L Labrie
Jacques L Labrie
Curtis R Pickering
Curtis R Pickering

Proceedings of the National Academy of Sciences of the United States of America, 2018.

Cited by: 0|Views65
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Abstract:

Scientific progress depends on formulating testable hypotheses informed by the literature. In many domains, however, this model is strained because the number of research papers exceeds human readability. Here, we developed computational assistance to analyze the biomedical literature by reading PubMed abstracts to suggest new hypotheses....More

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