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

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 Pub...

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Detalhes bibliográficos
Publicado no:Proc Natl Acad Sci U S A
Main Authors: Choi, Byung-Kwon, Dayaram, Tajhal, Parikh, Neha, Wilkins, Angela D., Nagarajan, Meena, Novikov, Ilya B., Bachman, Benjamin J., Jung, Sung Yun, Haas, Peter J., Labrie, Jacques L., Pickering, Curtis R., Adikesavan, Anbu K., Regenbogen, Sam, Kato, Linda, Lelescu, Ana, Buchovecky, Christie M., Zhang, Houyin, Bao, Sheng Hua, Boyer, Stephen, Weber, Griff, Scott, Kenneth L., Chen, Ying, Spangler, Scott, Donehower, Lawrence A., Lichtarge, Olivier
Formato: Artigo
Idioma:Inglês
Publicado em: National Academy of Sciences 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6196525/
https://ncbi.nlm.nih.gov/pubmed/30266789
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1806643115
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