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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.
Afiliação
  • 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 em En | MEDLINE | ID: mdl-33722609
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Método de Monte Carlo / Proteína Supressora de Tumor p53 / Proteínas Proto-Oncogênicas c-mdm2 / Domínios e Motivos de Interação entre Proteínas / RNA Longo não Codificante / Imagem Individual de Molécula Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Método de Monte Carlo / Proteína Supressora de Tumor p53 / Proteínas Proto-Oncogênicas c-mdm2 / Domínios e Motivos de Interação entre Proteínas / RNA Longo não Codificante / Imagem Individual de Molécula Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article