Supramolecular assembly of a biomineralizing antimicrobial peptide in coarse-grained Monte Carlo simulations
Literature Information
Glenn R. Johnson, Barry L. Farmer, Ras B. Pandey
Monte Carlo simulations are used to model the self-organizing behavior of the biomineralizing peptide KSL (KKVVFKVKFK) in the presence of phosphate. Originally identified as an antimicrobial peptide, KSL also directs the formation of biosilica through a hypothetical supramolecular template that requires phosphate for assembly. Specificity of each residue and the interactions between the peptide and phosphate are considered in a coarse-grained model. Both local and global physical quantities are calculated as the constituents execute their stochastic motion in the presence and absence of phosphate. Ordered peptide aggregates develop after simulations reach thermodynamic equilibrium, wherein phosphates form bridging ligands with lysines and are found interdigitated between peptide molecules. Results demonstrate that interactions between the lysines and phosphate drive self-organization into lower energy conformations of interconnected peptide scaffolds that resemble the supramolecular structures of polypeptide- and polyamine-mediated silica condensation systems. Furthermore, the specific phosphate–peptide organization appears to mimic the zwitterionic structure of native silaffins (scaffold proteins of diatom shells), suggesting a similar template organization for silica deposition between the in vitro KSL and silaffin systems.
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.












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