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Estimation of the free energy of adsorption of a polypeptide on amorphous SiO2 from molecular dynamics simulations and force spectroscopy experiments
- Source :
- Soft Matter. 11:6254-6265
- Publication Year :
- 2015
- Publisher :
- Royal Society of Chemistry (RSC), 2015.
-
Abstract
- Estimating the free energy of adsorption of materials-binding peptides is fundamental to quantify their interactions across bio/inorganic interfaces, but is difficult to achieve both experimentally and theoretically. We employ a combination of molecular dynamics (MD) simulations and dynamical force-spectroscopy experiments based on atomic force microscopy (AFM) to estimate the free energy of adsorption ΔGads of a (GCRL) tetrapeptide on amorphous SiO2 in pure water. The results of both equilibrium, advanced sampling MD and non-equilibrium, steered MD are compared with those of two different approaches used to extract ΔGads from the dependence of experimentally measured adhesion forces on the applied AFM loading rates. In order to obtain unambiguous peak forces and bond loading rates from steered MD trajectories, we have developed a novel numerical protocol based on a piecewise-harmonic fit of the adhesion work profile along each trajectory. The interpretation of the experiments has required a thorough quantitative characterization of the elastic properties of polyethylene glycol linker molecules used to tether (GCRL)15 polypeptides to AFM cantilevers, and of the polypeptide itself. All obtained ΔGads values fall within a relatively narrow window between -5 and -9 kcal mol(-1), but can be associated with large relative error bars of more than 50%. Among the different approaches compared, Replica Exchange with Solute Tempering simulations augmented with MetaDynamics (RESTMetaD) and fitting of dynamic force spectroscopy experiments with the model of Friddle and De Yoreo lead to the most reliable ΔGads estimates.
- Subjects :
- Work (thermodynamics)
Chemistry
Spectrum Analysis
Metadynamics
Force spectroscopy
Thermodynamics
General Chemistry
Adhesion
Molecular Dynamics Simulation
Microscopy, Atomic Force
Silicon Dioxide
Condensed Matter Physics
Amorphous solid
Molecular dynamics
Adsorption
Computational chemistry
Molecule
Peptides
Subjects
Details
- ISSN :
- 17446848 and 1744683X
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Soft Matter
- Accession number :
- edsair.doi.dedup.....2b1392bd3297ae4e900564b6495fba61
- Full Text :
- https://doi.org/10.1039/c5sm01444a