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Deep mutational scanning reveals the structural basis for α-synuclein activity.
Newberry, Robert W; Leong, Jaime T; Chow, Eric D; Kampmann, Martin; DeGrado, William F.
Afiliação
  • Newberry RW; Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.
  • Leong JT; Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, USA.
  • Chow ED; Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, CA, USA.
  • Kampmann M; Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, USA. martin.kampmann@ucsf.edu.
  • DeGrado WF; Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, CA, USA. martin.kampmann@ucsf.edu.
Nat Chem Biol ; 16(6): 653-659, 2020 06.
Article em En | MEDLINE | ID: mdl-32152544
Defining the biologically active structures of proteins in their cellular environments remains challenging for proteins with multiple conformations and functions, where only a minor conformer might be associated with a given function. Here, we use deep mutational scanning to probe the structure and dynamics of α-synuclein, a protein known to adopt disordered, helical and amyloid conformations. We examined the effects of 2,600 single-residue substitutions on the ability of intracellularly expressed α-synuclein to slow the growth of yeast. Computational analysis of the data showed that the conformation responsible for this phenotype is a long, uninterrupted, amphiphilic helix with increasing dynamics toward the C terminus. Deep mutational scanning can therefore determine biologically active conformations in cellular environments, even for a highly dynamic multi-conformational protein.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article