Fragment-based quantum mechanical parameterization of glycopeptide antibiotics for molecular simulations

Area of Science:

• Computational chemistry
• Molecular modeling
• Drug discovery

Background:

• Glycopeptide antibiotics possess intricate structures with modified amino acids and sugars.
• These complex molecular architectures present significant challenges for accurate molecular simulations.
• Developing robust computational models is essential for understanding their mechanisms and designing new agents.

Purpose of the Study:

• To develop reliable force field parameters for complex glycopeptide antibiotics.
• To enable accurate molecular dynamics (MD) simulations of these challenging molecules.
• To support computational investigations into antibiotic mechanisms and facilitate drug design.

Main Methods:

• Employed a fragment-based approach combined with quantum mechanical electrostatic potential (ESP) calculations.
• Utilized RESP charge fitting to derive conformation-independent atomic partial charges.
• Integrated new parameters into the AMBER force field framework for stable simulations.

Main Results:

• Successfully generated reliable force field parameters, particularly atomic partial charges, for glycopeptide antibiotics.
• Validated the parameters through molecular dynamics simulations of antibiotic-pentapeptide complexes in explicit solvent.
• Demonstrated the stability of simulation trajectories and the maintenance of binding interactions.

Conclusions:

• The developed methodology extends the applicability of computational force fields to complex glycopeptide structures.
• The validated models provide a reliable foundation for investigating antibiotic mechanisms.
• This work supports the future design and development of novel glycopeptide-based therapeutics.