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A litmus test for classifying recognition mechanisms of transiently binding proteins.
Chakrabarti, Kalyan S; Olsson, Simon; Pratihar, Supriya; Giller, Karin; Overkamp, Kerstin; Lee, Ko On; Gapsys, Vytautas; Ryu, Kyoung-Seok; de Groot, Bert L; Noé, Frank; Becker, Stefan; Lee, Donghan; Weikl, Thomas R; Griesinger, Christian.
Afiliação
  • Chakrabarti KS; Division of Sciences, Krea University, Sri City, India.
  • Olsson S; Department of NMR Based Structural Biology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
  • Pratihar S; Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden.
  • Giller K; Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany.
  • Overkamp K; Department of NMR Based Structural Biology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
  • Lee KO; Department of NMR Based Structural Biology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
  • Gapsys V; Department of NMR Based Structural Biology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
  • Ryu KS; Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Korea Basic Science Institute, Ochang-Eup, Cheongju-Si, South Korea.
  • de Groot BL; Department of Theoretical and Computational Biophysics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
  • Noé F; Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Korea Basic Science Institute, Ochang-Eup, Cheongju-Si, South Korea.
  • Becker S; Department of Theoretical and Computational Biophysics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
  • Lee D; Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany.
  • Weikl TR; Department of Physics, Freie Universität Berlin, Berlin, Germany.
  • Griesinger C; Department of Chemistry, Rice University, Houston, TX, USA.
Nat Commun ; 13(1): 3792, 2022 07 01.
Article em En | MEDLINE | ID: mdl-35778416
ABSTRACT
Partner recognition in protein binding is critical for all biological functions, and yet, delineating its mechanism is challenging, especially when recognition happens within microseconds. We present a theoretical and experimental framework based on straight-forward nuclear magnetic resonance relaxation dispersion measurements to investigate protein binding mechanisms on sub-millisecond timescales, which are beyond the reach of standard rapid-mixing experiments. This framework predicts that conformational selection prevails on ubiquitin's paradigmatic interaction with an SH3 (Src-homology 3) domain. By contrast, the SH3 domain recognizes ubiquitin in a two-state binding process. Subsequent molecular dynamics simulations and Markov state modeling reveal that the ubiquitin conformation selected for binding exhibits a characteristically extended C-terminus. Our framework is robust and expandable for implementation in other binding scenarios with the potential to show that conformational selection might be the design principle of the hubs in protein interaction networks.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas de Transporte / Domínios de Homologia de src Tipo de estudo: Prognostic_studies Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Índia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas de Transporte / Domínios de Homologia de src Tipo de estudo: Prognostic_studies Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Índia