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Advancing Rational Control of Peptide-Surface Complexes.

Siva Dasetty1, Sapna Sarupria1

  • 1Department of Chemical & Biomolecular Engineering, Clemson University, Clemson, South Carolina 29634, United States.

The Journal of Physical Chemistry. B
|March 4, 2021
PubMed
Summary
This summary is machine-generated.

Peptide-surface interactions are complex; a residue's behavior depends on its neighbors. Understanding these context effects is key for designing peptides for biosensors and biomaterials.

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Area of Science:

  • Surface science
  • Computational chemistry
  • Biomaterials science

Background:

  • Peptide-surface interactions are vital for applications like biosensors and biomimetic materials.
  • Controlling peptide self-assembly at surfaces requires understanding residue-level interactions.

Purpose of the Study:

  • To investigate how neighboring residues influence a central residue's interaction with a surface.
  • To provide insights for rational design of peptide-surface complexes.

Main Methods:

  • Molecular dynamics simulations were used to study 26 tripeptides on a graphene surface.
  • Free energy of adsorption (ΔAads) and predominant conformations were calculated.
  • Analysis focused on the interplay between left-neighboring (LNR) and central residues (CR).

Main Results:

  • Tripeptide adsorption energy is not a simple sum of individual residue energies, indicating cooperative effects.
  • Strongly adsorbing residues (e.g., Phe, Trp, Arg) dominate interactions.
  • Adsorption of weakly adsorbing central residues is significantly influenced by their neighbors.
  • Neighboring residues modulate the backbone structure of central residues upon adsorption.

Conclusions:

  • Context effects, where neighboring residues influence adsorption and conformation, are crucial for peptide-surface interactions.
  • Rational design of peptide mutations must consider these cooperative effects for precise control over peptide orientation and structure at surfaces.
  • Findings aid in developing predictive models for peptide behavior on surfaces and guiding mutagenesis strategies.