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Computational design of mechanically coupled axle-rotor protein assemblies

Journal Article · · Science
 [1];  [2];  [3];  [1];  [2];  [1];  [3];  [3];  [3];  [3];  [3];  [4];  [3];  [2];  [5];  [3];  [6];  [7];  [2];  [1]
  1. Department of Biochemistry, University of Washington, Seattle, WA, USA.; Institute for Protein Design, University of Washington, Seattle, WA, USA.; Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.
  2. Department of Biochemistry, University of Washington, Seattle, WA, USA.
  3. Department of Biochemistry, University of Washington, Seattle, WA, USA.; Institute for Protein Design, University of Washington, Seattle, WA, USA.
  4. Department of Biochemistry, University of Washington, Seattle, WA, USA.; Institute for Protein Design, University of Washington, Seattle, WA, USA.; Division of Life Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.; Monod Bio, Inc., Seattle, WA, USA.
  5. Centre de Biologie Structurale (CBS), INSERM, CNRS, Université Montpellier, Montpellier, France.
  6. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  7. Department of Biochemistry, University of Washington, Seattle, WA, USA.; Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.

Natural molecular machines contain protein components that undergo motion relative to each other. Designing such mechanically constrained nanoscale protein architectures with internal degrees of freedom is an outstanding challenge for computational protein design. Here we explore the de novo construction of protein machinery from designed axle and rotor components with internal cyclic or dihedral symmetry. We find that the axle-rotor systems assemble in vitro and in vivo as designed. Using cryo–electron microscopy, we find that these systems populate conformationally variable relative orientations reflecting the symmetry of the coupled components and the computationally designed interface energy landscape. These mechanical systems with internal degrees of freedom are a step toward the design of genetically encodable nanomachines.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). Advanced Light Source (ALS)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC02-05CH11231
OSTI ID:
1982956
Journal Information:
Science, Vol. 376, Issue 6591; ISSN 0036-8075
Publisher:
AAAS
Country of Publication:
United States
Language:
English

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