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AI-based structure prediction empowers integrative structural analysis of human nuclear pores.
Mosalaganti, Shyamal; Obarska-Kosinska, Agnieszka; Siggel, Marc; Taniguchi, Reiya; Turonová, Beata; Zimmerli, Christian E; Buczak, Katarzyna; Schmidt, Florian H; Margiotta, Erica; Mackmull, Marie-Therese; Hagen, Wim J H; Hummer, Gerhard; Kosinski, Jan; Beck, Martin.
Afiliación
  • Mosalaganti S; Department of Molecular Sociology, Max Planck Institute of Biophysics, 60438 Frankfurt am Main, Germany.
  • Obarska-Kosinska A; Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
  • Siggel M; Life Sciences Institute and Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI 48109, USA.
  • Taniguchi R; Department of Molecular Sociology, Max Planck Institute of Biophysics, 60438 Frankfurt am Main, Germany.
  • Turonová B; European Molecular Biology Laboratory Hamburg, 22607 Hamburg, Germany.
  • Zimmerli CE; European Molecular Biology Laboratory Hamburg, 22607 Hamburg, Germany.
  • Buczak K; Department of Theoretical Biophysics, Max Planck Institute of Biophysics, 60438 Frankfurt am Main, Germany.
  • Schmidt FH; Centre for Structural Systems Biology, 22607 Hamburg, Germany.
  • Margiotta E; Department of Molecular Sociology, Max Planck Institute of Biophysics, 60438 Frankfurt am Main, Germany.
  • Mackmull MT; Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
  • Hagen WJH; Department of Molecular Sociology, Max Planck Institute of Biophysics, 60438 Frankfurt am Main, Germany.
  • Hummer G; Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
  • Kosinski J; Department of Molecular Sociology, Max Planck Institute of Biophysics, 60438 Frankfurt am Main, Germany.
  • Beck M; Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Science ; 376(6598): eabm9506, 2022 06 10.
Article en En | MEDLINE | ID: mdl-35679397
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Poro Nuclear / Proteínas de Complejo Poro Nuclear Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Science Año: 2022 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Poro Nuclear / Proteínas de Complejo Poro Nuclear Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Science Año: 2022 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos