Efficient conformational sampling of peptides adsorbed onto inorganic surfaces: insights from a quartz binding peptide
文献情報
Louise B. Wright, Tiffany R. Walsh
Harnessing the properties of biomolecules, such as peptides, adsorbed on inorganic surfaces is of interest to many cross-disciplinary areas of science, ranging from biomineralisation to nanomedicine. Key to advancing research in this area is determination of the peptide conformation(s) in its adsorbed state, at the aqueous interface. Molecular simulation is one such approach for accomplishing this goal. In this respect, use of temperature-based replica-exchange molecular dynamics (T-REMD) can yield enhanced sampling of the interfacial conformations, but does so at great computational expense, chiefly because of the need to include an explicit representation of water at the interface. Here, we investigate a number of more economical variations on REMD, chiefly those based on Replica Exchange with Solvent Tempering (REST), using the aqueous quartz-binding peptide S1-(100) α-quartz interfacial system as a benchmark. We also incorporate additional implementation details specifically targeted at improving sampling of biomolecules at interfaces. We find the REST-based variants yield configurational sampling of the peptide–surface system comparable with T-REMD, at a fraction of the computational time and resource. Our findings also deliver novel insights into the binding behaviour of the S1 peptide at the quartz (100) surface that are consistent with available experimental data.
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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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