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Large enhancement of response times of a protein conformational switch by computational design.
DeGrave, Alex J; Ha, Jeung-Hoi; Loh, Stewart N; Chong, Lillian T.
Affiliation
  • DeGrave AJ; Department of Chemistry, University of Pittsburgh, Pittsburgh, PA, 15260, USA.
  • Ha JH; Department of Biochemistry and Molecular Biology, State University of New York Upstate Medical University, Syracuse, NY, 13210, USA.
  • Loh SN; Department of Biochemistry and Molecular Biology, State University of New York Upstate Medical University, Syracuse, NY, 13210, USA. lohs@upstate.edu.
  • Chong LT; Department of Chemistry, University of Pittsburgh, Pittsburgh, PA, 15260, USA. ltchong@pitt.edu.
Nat Commun ; 9(1): 1013, 2018 03 09.
Article in En | MEDLINE | ID: mdl-29523842
ABSTRACT
The design of protein conformational switches-or proteins that change conformations in response to a signal such as ligand binding-has great potential for developing novel biosensors, diagnostic tools, and therapeutic agents. Among the defining properties of such switches, the response time has been the most challenging to optimize. Here we apply a computational design strategy in synergistic combination with biophysical experiments to rationally improve the response time of an engineered protein-based Ca2+-sensor in which the switching process occurs via mutually exclusive folding of two alternate frames. Notably, our strategy identifies mutations that increase switching rates by as much as 32-fold, achieving response times on the order of fast physiological Ca2+ fluctuations. Our computational design strategy is general and may aid in optimizing the kinetics of other protein conformational switches.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Protein Conformation / Protein Engineering / Models, Molecular / Protein Folding / Calbindins Type of study: Prognostic_studies Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2018 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Protein Conformation / Protein Engineering / Models, Molecular / Protein Folding / Calbindins Type of study: Prognostic_studies Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2018 Document type: Article Affiliation country: United States