Computational design of mechanically coupled axle-rotor protein assemblies

Area of Science:

• Biophysics
• Computational Biology
• Nanotechnology

Background:

• Natural molecular machines utilize protein components with relative motion.
• Designing mechanically constrained protein architectures with internal flexibility is a significant computational challenge.

Purpose of the Study:

• To explore the de novo construction of protein machinery using designed axle and rotor components.
• To investigate the assembly and conformational dynamics of these designed protein systems.

Main Methods:

• Computational protein design of axle and rotor components with specific symmetries.
• In vitro and in vivo assembly studies.
• Cryo-electron microscopy to analyze conformational states.

Main Results:

• Designed axle-rotor protein systems successfully assembled in vitro and in vivo.
• Cryo-electron microscopy revealed conformationally variable relative orientations.
• Observed orientations reflected component symmetry and designed interface energy landscape.

Conclusions:

• Successfully designed and assembled novel protein-based mechanical systems.
• Demonstrated control over relative motion in designed protein architectures.
• These systems represent a step towards genetically encodable nanomachines.