Selective adsorption of lattice peptides on patterned surfaces

Area of Science:

• Computational chemistry
• Biophysics
• Surface science

Background:

• Peptide adsorption is crucial for biomaterials and understanding biological processes.
• Traditional simulation methods for peptide adsorption often require complex setups like confining walls or grafting, introducing approximations.
• Efficient and accurate simulation techniques are needed to study peptide-surface interactions.

Purpose of the Study:

• To develop a more efficient and assumption-free computational method for studying individual peptide adsorption in implicit solvent.
• To investigate the adsorption behavior of a lattice peptide on patterned surfaces using the novel method.
• To understand the factors governing surface selection and adsorption behavior.

Main Methods:

• A modified Wang-Landau Monte Carlo algorithm was developed, termed the "wall-free" method.
• This method simulates peptide adsorption on a single surface without requiring confining walls or grafting.
• An HP-model lattice peptide was simulated on planar surfaces with varying adsorption site patterns.

Main Results:

• The wall-free method demonstrated higher efficiency compared to traditional approaches.
• Simulations revealed a temperature-induced switch in surface selection for the peptide.
• This switch was attributed to a balance between energetic and entropic effects.

Conclusions:

• The developed wall-free Monte Carlo method provides an efficient and accurate tool for studying peptide adsorption.
• The findings highlight the significant role of temperature in modulating peptide-surface interactions and selection.
• This work offers new insights into the fundamental principles governing peptide adsorption phenomena.