ArticleThe journal of physical chemistry. B2012
Ion binding sites and their representations by reduced models.
Article in The journal of physical chemistry. B, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The Role of Architectural Forces in Ion Selectivity.Advances in experimental medicine and biology · 2026Article
- QM/MM calculations with deMon2k.Molecules (Basel, Switzerland) · 2015Review
- Cation Selectivity in Biological Cation Channels Using Experimental Structural Information and Statistical Mechanical Simulation.PloS one · 2015Article
- Interacting ions in biophysics: real is not ideal.Biophysical journal · 2013Review
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Abstract
The binding of small metal ions to complex macromolecular structures is typically dominated by strong local interactions of the ion with its nearest ligands. Progress in understanding the molecular determinants of ion selectivity can often be achieved by considering simplified reduced models comprised of only the most important ion-coordinating ligands. Although the main ingredients underlying simplified reduced models are intuitively clear, a formal statistical mechanical treatment is nonetheless necessary in order to draw meaningful conclusions about complex macromolecular systems. By construction, reduced models only treat the ion and the nearest coordinating ligands explicitly. The influence of the missing atoms from the protein or the solvent is incorporated indirectly. Quasi-chemical theory offers one example of how to carry out such a separation in the case of ion solvation in bulk liquids, and in several ways, a statistical mechanical formulation of reduced binding site models for macromolecules is expected to follow a similar route. However, there are also important differences when the ion-coordinating moieties are not solvent molecules from a bulk phase but are molecular ligands covalently bonded to a macromolecular structure. Here, a statistical mechanical formulation of reduced binding site models is elaborated to address these issues. The formulation provides a useful framework to construct reduced binding site models, and define the average effect from the surroundings on the ion and the nearest coordinating ligands.
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