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Rationally designed inhibitors of the Musashi protein-RNA interaction by hotspot mimicry.
Bai, Nan; Adeshina, Yusuf; Bychkov, Igor; Xia, Yan; Gowthaman, Ragul; Miller, Sven A; Gupta, Abhishek K; Johnson, David K; Lan, Lan; Golemis, Erica A; Makhov, Petr B; Xu, Liang; Pillai, Manoj M; Boumber, Yanis; Karanicolas, John.
Afiliação
  • Bai N; Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111.
  • Adeshina Y; Department of Molecular Biosciences, University of Kansas, Lawrence KS 66045.
  • Bychkov I; Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111.
  • Xia Y; Center for Computational Biology, University of Kansas, Lawrence KS 66045.
  • Gowthaman R; Division of Hematology/Oncology, Department of Medicine, Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611.
  • Miller SA; Department of Molecular Biosciences, University of Kansas, Lawrence KS 66045.
  • Gupta AK; Center for Computational Biology, University of Kansas, Lawrence KS 66045.
  • Johnson DK; Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111.
  • Lan L; Section of Hematology, Yale Cancer Center, New Haven CT 06520.
  • Golemis EA; Department of Pathology, Yale University School of Medicine, New Haven CT 06520.
  • Makhov PB; Center for Computational Biology, University of Kansas, Lawrence KS 66045.
  • Xu L; Department of Molecular Biosciences, University of Kansas, Lawrence KS 66045.
  • Pillai MM; Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111.
  • Boumber Y; Department of Cancer and Cellular Biology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140.
  • Karanicolas J; Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111.
Res Sq ; 2023 Jan 10.
Article em En | MEDLINE | ID: mdl-36711552

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article