2015
DOI: 10.1039/c4cp05572a
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Evaluation of water displacement energetics in protein binding sites with grid cell theory

Abstract: Excess free energies, enthalpies and entropies of water in protein binding sites were computed via classical simulations and Grid Cell Theory (GCT) analyses for three pairs of congeneric ligands in complex with the proteins scytalone dehydratase, p38α MAP kinase and EGFR kinase respectively. Comparative analysis is of interest since the binding modes for each ligand pair differ in the displacement of one binding site water molecule, but significant variations in relative binding affinities are observed. Protoc… Show more

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Cited by 31 publications
(41 citation statements)
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“…Gerogiokas et al. used the same inhibitor pair to evaluate the water displacement energetics using grid cell theory . With their approach, they obtained a ΔΔ G solv (PA→PB) value of 4.4 kcal mol −1 , which is in very close agreement with our value of 4.74 kcal mol −1 .…”
Section: Resultssupporting
confidence: 82%
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“…Gerogiokas et al. used the same inhibitor pair to evaluate the water displacement energetics using grid cell theory . With their approach, they obtained a ΔΔ G solv (PA→PB) value of 4.4 kcal mol −1 , which is in very close agreement with our value of 4.74 kcal mol −1 .…”
Section: Resultssupporting
confidence: 82%
“…This effect counteracts the desolvation costs associated with the displacement of HS1. For the sake of simplicity, we term the two inhibitors as A and B in the following and use a similar notation as in a previous study with related content . ΔΔ G solv (AP→BP) corresponds to the difference in protein–ligand complex solvation free energy for the two ligands.…”
Section: Resultsmentioning
confidence: 99%
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“…18 The analysis presented in Figure 10 could have been extended to other components of the potential energy function, for instance changes in hydration enthalpies have been proposed to contribute to non-additivity in some protein-ligand complexes, 55 and these could be computed using molecular simulation trajectory analyses methodologies. [56][57][58] However, exploratory calculations suggest that converging hydration energy components to a level of precision sufficient to enable meaningful comparison between ligands will require significantly longer simulations than what was achieved here. Nevertheless it is now clear from the data depicted in Figure 10B that a profound understanding of non-additive effects in this system requires consideration of interactions occurring across the entire thrombin binding site.…”
Section: Docking Energies Overall Correlate Poorly But Show Trends Wmentioning
confidence: 92%