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A cross-nearest neighbor/Monte Carlo algorithm for single-molecule localization microscopy defines interactions between p53, Mdm2, and MEG3.
Bauer, Nicholas C; Yang, Anli; Wang, Xin; Zhou, Yunli; Klibanski, Anne; Soberman, Roy J.
  • Bauer NC; Division of Nephrology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, United States.
  • Yang A; Neuroendocrine Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States.
  • Wang X; Neuroendocrine Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States.
  • Zhou Y; Neuroendocrine Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States.
  • Klibanski A; Neuroendocrine Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States.
  • Soberman RJ; Division of Nephrology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, United States. Electronic address: soberman@helix.mgh.harvard.edu.
J Biol Chem ; 296: 100540, 2021.
Article en En | MEDLINE | ID: mdl-33722609
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Método de Montecarlo / Proteína p53 Supresora de Tumor / Proteínas Proto-Oncogénicas c-mdm2 / Dominios y Motivos de Interacción de Proteínas / ARN Largo no Codificante / Imagen Individual de Molécula Tipo de estudio: Health_economic_evaluation / Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Método de Montecarlo / Proteína p53 Supresora de Tumor / Proteínas Proto-Oncogénicas c-mdm2 / Dominios y Motivos de Interacción de Proteínas / ARN Largo no Codificante / Imagen Individual de Molécula Tipo de estudio: Health_economic_evaluation / Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article