Elucidating the mechanism of interaction between peptides and inorganic surfaces

Literature Information

Publication Date 2015-05-21
DOI 10.1039/C5CP00088B
Impact Factor 3.676
Authors

David Zanuy


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Abstract

Understanding the mechanism of interaction between peptides and inorganic materials is of high importance for the development of new composite materials. Here, we combined an experimental approach along with molecular simulations in order to gain insights into this binding process. Using single molecule force spectroscopy by atomic force microscopy and molecular simulations we studied the binding of a peptide towards an inorganic substrate. By performing alanine scan we examined the propensity of each amino acid in the peptide sequence to bind the substrate (mica). Our results indicate that this binding is not controlled by the specific sequence of the peptide, but rather by its conformational freedom in solution versus its freedom when it is in proximity to the substrate. When the conformational freedom of the peptide is identical in both environments, the peptide will not adhere to the substrate. However, when the conformational freedom is reduced, i.e., when the peptide is in close proximity to the substrate, binding will occur. These results shed light on the interaction between peptides and inorganic materials.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

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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