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Exploring the repeat protein universe through computational protein design.

T J Brunette1,2, Fabio Parmeggiani1,2, Po-Ssu Huang1,2

  • 1Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA.

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|December 18, 2015
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Summary
This summary is machine-generated.

Scientists explored the vast potential of protein structures by designing novel repeat proteins. Their work demonstrates that nature uses only a small fraction of possible protein designs, opening new avenues for biomolecular engineering.

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Area of Science:

  • Structural biology
  • Computational protein design
  • Protein evolution

Background:

  • Repeat proteins are crucial for biological processes like molecular recognition and signaling.
  • Naturally occurring repeat proteins have been engineered for various applications.
  • Understanding the full range of possible protein structures is a key question in protein evolution.

Purpose of the Study:

  • To investigate the structural diversity achievable by repeating a simple helix-loop-helix-loop motif.
  • To determine if novel repeat protein structures can be computationally designed and experimentally validated.
  • To explore the sequence and structure space of repeat proteins beyond naturally occurring examples.

Main Methods:

  • Computational protein design was used to generate novel repeat protein sequences.
  • Eighty-three computationally designed proteins were synthesized and experimentally characterized.
  • Techniques included assessing protein stability, solution X-ray scattering, and crystal structure determination.

Main Results:

  • 53 of the designs were monomeric and stable at 95°C.
  • 43 designs showed solution X-ray scattering spectra consistent with their predicted structures.
  • Crystal structures of 15 designs confirmed close agreement with computational models, with RMSDs from 0.7 to 2.5 Å.

Conclusions:

  • Existing repeat proteins represent a small subset of the potential sequence and structure space.
  • Novel repeat proteins with specific geometries can be designed computationally.
  • This work expands the possibilities for biomolecular engineering and protein design.