STEPs-SOL, a Peptoid Force Field Parameterization to Include Solvent Effects.

Area of Science:

• Computational chemistry
• Polymer science
• Biomolecular modeling

Background:

• Peptoids (N-substituted glycines) are increasingly used as biomimetic polymers.
• Accurate molecular simulations require reliable force fields.
• Existing force fields may not fully capture solvent effects crucial for peptoid behavior.

Purpose of the Study:

• To develop a novel peptoid force field, STEPs-SOL, that incorporates solvent effects.
• To improve the accuracy of peptoid simulations by optimizing electrostatic modeling.
• To provide a more robust computational framework for studying peptoid structural dynamics.

Main Methods:

• Parametrization of a new force field (STEPs-SOL) building upon the STEPs force field.
• Solvent-specific partial charge optimization for enhanced electrostatic modeling.
• Evaluation of conformational bias in restrained electrostatic potential (RESP) charge generation.

Main Results:

• STEPs-SOL significantly improves agreement with experimental measurements.
• Mean absolute error in cis/trans ratio predictions (ΔG_c/t) reduced by an average of 38%.
• Enhanced understanding of peptoid conformational dynamics in various solvent environments.

Conclusions:

• STEPs-SOL offers a more accurate force field for peptoid simulations, particularly in solution.
• The improved electrostatic modeling addresses computational challenges in nonbonded energies.
• This work provides a valuable tool for researchers studying peptoid-based materials and biomimetics.