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Physics-Based Computational Protein Design: An Update.

David Mignon1, Karen Druart1, Eleni Michael2

  • 1Laboratoire de Biologie Structurale de la Cellule (CNRS UMR7654), Ecole Polytechnique, 91128 Palaiseau, France.

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|November 10, 2020
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Summary
This summary is machine-generated.

Physics-based protein design methods utilize Monte Carlo simulations to explore sequence and conformational ensembles. Successful redesigns of a PDZ domain and enzyme demonstrate the versatility of these computational approaches for biomolecule engineering.

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Area of Science:

  • Computational Biology
  • Biophysics
  • Protein Engineering

Background:

  • Protein design is crucial for developing novel biomolecules with specific functions.
  • Physics-based computational methods offer a powerful approach to protein design.

Purpose of the Study:

  • To describe physics-based methods for protein design.
  • To present recent applications and advancements in computational protein design.

Main Methods:

  • Utilizing Monte Carlo (MC) simulations for exploring sequence and conformational space.
  • Employing molecular mechanics and continuum electrostatics for folded state energy calculations.
  • Developing adaptive Wang-Landau MC methods for versatile design objectives.

Main Results:

  • Demonstrated successful redesign of a PDZ domain and an aminoacyl-tRNA synthetase enzyme.
  • Showcased that protein sequences and conformations form a well-defined statistical ensemble.
  • Validated the transferability and systematic improvement of the described methods.

Conclusions:

  • Physics-based protein design methods provide physical insights and are applicable to all biomolecules.
  • The described computational strategies enable design for various properties like substrate affinity and catalytic efficiency.
  • Ongoing development includes incorporating greater backbone and side chain flexibility using molecular dynamics.