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Extending the MARTINI 3 Coarse-Grained Force Field to Polypeptoids.

Jiaxin Wang1, Zhou Yu2, Mingfei Zhao1

  • 1Department of Chemical and Biological Engineering, The University of Alabama, Tuscaloosa, Alabama 35487, United States.

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Researchers developed a new coarse-grained model for polypeptoids (poly-N-substituted glycines), enabling efficient large-scale simulations of these biomaterials. This computational tool aids in designing advanced peptoid-based materials.

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Area of Science:

  • Polymer Science
  • Computational Chemistry
  • Biomaterials Science

Background:

  • Polypeptoids are synthetic polymers with unique properties due to their N-substituted glycine backbone.
  • Existing computational models limit mesoscale simulations of peptoid structure and self-assembly.
  • A coarse-grained (CG) model compatible with the MARTINI 3 framework is needed.

Purpose of the Study:

  • To develop the first MARTINI 3 compatible coarse-grained force field for polypeptoids.
  • To enable efficient mesoscale simulations of peptoid structure, self-assembly, and interactions.
  • To support the rational design of next-generation peptoid-based materials.

Main Methods:

  • Developed a CG force field for 19 common peptoid residue types.
  • Performed extensive all-atom reference simulations using parallel bias metadynamics (PBMetaD).
  • Derived bonded parameters via direct Boltzmann inversion (DBI) and adopted nonbonded interactions from MARTINI 3.

Main Results:

  • The new CG model accurately reproduces structural and thermodynamic properties compared to all-atom simulations.
  • Achieved up to 57-fold enhancement in computational efficiency.
  • Integrated parameters and workflows into the martinize2 tool for automated structure generation.

Conclusions:

  • Established a transferable and computationally efficient framework for simulating large-scale peptoid systems.
  • Facilitates simulations of peptoid conformations, assemblies, membrane interactions, and nanostructure formation.
  • Supports the rational design of sequence-specific functional peptoid-based materials.