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In Figure 4, the dashed line characterizes the effective ranges for interaction of chosen aggregates interacting with a single nanoparticle.
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These data confirm that the main loop interactions involve T149, E152 and T153, but that K148, although within reasonable range for interaction may play a role in the steric fitting of the two loops rather than in specific interactions with claudin-1 residues.
The dashed line characterizes the effective ranges for the interaction of aggregates interacting with a single nanoparticle.
The solid line characterizes the effective ranges for the interaction of two aggregates of the same size.
Thus, the range of interaction for repeating an escape reaction does not exceed the empirically established topological range of six or seven influential neighbours during coordination in the absence of an attack by a predator.
The solid line in the graph characterizes the effective range for the interaction of two aggregates of the same size.
Thus an algebraic model of a general surface is presented here to cover the full wavelength range for road tyre interaction.
In addition, these molecular abnormalities provide a range of opportunities for interaction with nonbiological factors to further influence outcome of this disparity.
The simulations were carried out using a combination of canonical and grand canonical ensembles for a range of interaction strengths, carbon and sulphur concentrations and temperature.
The simulations were carried out using a combination of canonical and grand canonical ensembles for a range of interaction strengths, carbon and sulfur concentrations.
In the future, such in vitro studies can be useful to determine optimum therapeutic ranges for targeting this interaction.
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