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Updated: Feb 6, 2026

Microwave-assisted Functionalization of Polyethylene glycol and On-resin Peptides for Use in Chain Polymerizations and Hydrogel Formation
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    Area of Science:

    • Biomolecular modeling
    • Materials science
    • Computational chemistry

    Background:

    • Hybrid materials combining synthetic polymers and biological molecules are increasingly important in the pharmaceutical industry.
    • Coarse-grained (CG) models are used for proteins and polymers, but their cross-interactions are poorly understood.
    • Accurate modeling of protein-polymer interactions is essential for designing novel hybrid materials.

    Purpose of the Study:

    • To characterize nonbonded interactions between poly(ethylene glycol) (PEG) and amino acids within the Martini CG model.
    • To develop and validate a new parameter set for PEG-amino acid interactions.
    • To improve the accuracy of CG simulations for hybrid protein-polymer systems.

    Main Methods:

    • Utilized state-of-the-art quantum mechanics calculations to determine interaction energies between PEG and amino acids.
    • Developed a new parameter set for the Martini CG model based on quantum mechanics data.
    • Validated the proposed parameter set using all-atomistic molecular dynamics simulations of plasma proteins.

    Main Results:

    • Quantum mechanics calculations provided detailed insights into PEG-amino acid interactions.
    • The developed parameter set accurately reproduced polymer density near amino acids in simulations.
    • Existing PEG models in the Martini framework can overestimate polymer association.

    Conclusions:

    • Protein-polymer interaction parameterization at the CG level is necessary for accurate simulations.
    • The new parameter set enhances the reliability of CG models for hybrid materials.
    • This work provides a foundation for the rational design of advanced drug delivery systems and biomaterials.