Diblock copolymer bilayers as model for polymersomes: A coarse grain approach.

Area of Science:

• Polymer Science
• Computational Chemistry
• Materials Science

Background:

• Polymersomes are versatile nano-containers with applications in drug delivery and biomaterials.
• Accurate computational models are essential for predicting polymersome behavior and properties.
• Existing coarse-grained models lack parameters for specific polymers like poly(butadiene).

Purpose of the Study:

• To develop and validate a new coarse-grained model for poly(ethylene oxide)-poly(butadiene) diblock copolymer polymersomes.
• To refine MARTINI force field parameters for poly(butadiene) using quantum mechanical calculations and molecular dynamics.
• To assess the model's ability to reproduce experimental structural and mechanical properties.

Main Methods:

• Development of a coarse-grained model using the MARTINI force field.
• Refinement of poly(butadiene) parameters via quantum mechanical calculations and molecular dynamics simulations.
• Extensive molecular dynamics simulations (up to 6 μs) of polymersome self-assembly and property evaluation.

Main Results:

• The refined model successfully predicts the self-assembly of poly(ethylene oxide)-poly(butadiene) into bilayers.
• Simulations reproduce key structural and mechanical properties of polymersomes across various copolymer lengths.
• The model demonstrates accuracy in NPT and NPNγT ensemble simulations.

Conclusions:

• The developed coarse-grained model provides a reliable tool for simulating poly(ethylene oxide)-poly(butadiene) polymersomes.
• This model facilitates the design and optimization of polymersomes for advanced applications.
• Accurate parameterization is critical for the predictive power of coarse-grained simulations in polymer science.