Branched polyethyleneimine: CHARMM force field and molecular dynamics simulations
Andrada-Elena Terteci-Popescu1, Titus Adrian Beu1
1Faculty of Physics, Department of Biomolecular Physics, University Babeş-Bolyai, Cluj-Napoca, Romania.
This study introduces an enhanced CHARMM force field for branched polyethyleneimine (PEI), crucial for gene delivery. The new force field accurately simulates branched PEI behavior and DNA complex formation.
Area of Science:
- Computational Chemistry
- Biomolecular Modeling
- Materials Science
Background:
- Polyethyleneimine (PEI) is a promising non-viral vector for gene delivery.
- Accurate molecular simulations require reliable force fields (FFs) that capture polymer behavior.
- Existing FFs for PEI primarily focus on linear forms, limiting simulations of branched PEI.
Purpose of the Study:
- To develop and validate an all-atom CHARMM force field for branched polyethyleneimine (PEI).
- To enable accurate atomistic simulations of branched PEI properties and DNA complexation.
- To provide insights into optimal conditions for DNA-PEI complex formation in gene delivery.
Main Methods:
- Extension of a previously published CHARMM FF for linear PEI to include branched configurations.
- Introduction of a new residue type for branch connectors, with parameters derived from ab initio calculations.
- Extensive molecular dynamics simulations of solvated branched PEIs and their complexes with DNA.
Main Results:
- The validated FF accurately reproduces structural properties (gyration radii, end-to-end distances) and dynamics (diffusion coefficients) of branched PEIs.
- Comparison with linear PEIs highlights differences in behavior influenced by branching.
- Simulations reveal favorable attachment conformations for DNA-PEI complexes.
Conclusions:
- The developed atomistic force field is suitable for simulating PEI with diverse branching, protonation, and sizes.
- This tool is expected to yield significant insights into optimizing DNA-PEI complex formation for gene delivery applications.
- The study advances the computational modeling capabilities for non-viral gene delivery vectors.
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