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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6196525/
https://www.ncbi.nlm.nih.gov/pubmed/30266789
http://dx.doi.org/10.1073/pnas.1806643115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6196525/
https://www.ncbi.nlm.nih.gov/pubmed/30266789
http://dx.doi.org/10.1073/pnas.1806643115

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