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Martinoid: the peptoid martini force field.

Hamish W A Swanson1, Alexander van Teijlingen1, King Hang Aaron Lau1

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Researchers developed a new Martini forcefield model for peptoid simulations. This model accurately predicts peptoid assembly and secondary structures, enabling efficient discovery of novel peptoid materials.

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Area of Science:

  • Materials Science
  • Computational Chemistry
  • Biophysics

Background:

  • Peptoid assembly is crucial for developing novel materials.
  • Existing coarse-grained models for peptoids are limited.
  • Minimal peptoid assemblers are feasible and expected.

Purpose of the Study:

  • Develop a Martini forcefield compatible peptoid model.
  • Enable accurate simulation of peptoid assembly and structure.
  • Facilitate the discovery of minimal peptoid assemblers.

Main Methods:

  • Dual bottom-up and top-down parameterization approach.
  • Targeted reproduction of atomistic molecular dynamics (MD) dynamics.
  • Validation against experimental log D7.4 partition coefficients and assembly systems.

Main Results:

  • Developed a novel Martini forcefield model for peptoids.
  • Successfully reproduced experimental peptoid nanosheet and tripeptoid assembly.
  • Demonstrated simulation of peptoid helix secondary structure for antimicrobial sequences.
  • Provided freely available code for Gromacs MD software.

Conclusions:

  • The new model accurately simulates peptoid behavior.
  • Facilitates in silico screening for minimal peptoid assemblers.
  • Accelerates the design and discovery of functional peptoid materials.