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Energy transfer ligands of the GluR2 ligand binding core.

ABSTRACT: Ionotropic glutamate receptors (iGluRs) are ligand-gated ion channels that mediate excitatory signaling in the central nervous system. When a ligand binds to the extracellular domain of iGluRs, local conformational changes ensue and this motion is translated to the transmembrane domain, inducing channel opening. We have used an isolated ligand binding domain, GluR2-S1S2J (GluR2), as a model system to study the protein-ligand complex by steady-state and time-resolved intrinsic tryptophan fluorescence measurements. Specifically, we determined that the widely used and structurally characterized antagonist, 6,7-dinitroquinoxaline-2,3-dione (DNQX), acts as an efficient fluorescence energy transfer (FET) acceptor for Trp. Consistent with crystallographic data, our results indicate that the four native tryptophans are within Forster's radius (R(o) approximately 33 A) of the bound ligand. Additionally, we demonstrate the broader value of this technique by identifying an original FET ligand, 3-nitrotyrosine (3NY), for GluR2 (R(o) approximately 24 A; apparent dissociation constant K(d) approximately 170 microM). Estimated average donor-acceptor (Trp-ligand) distances extracted from tryptophan excited-state decays are similar for both ligands (approximately 24 A), suggesting that 3NY binds in the structurally characterized ligand binding cleft. Moreover, an alternative competition assay utilizing Trp --> DNQX quenching for detection of ligand binding in GluR2 is described.

SUBMITTER: Petrik AF

PROVIDER: S-EPMC2844330 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature

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Energy transfer ligands of the GluR2 ligand binding core.

Petrik Amy F AF Strub Marie-Paule MP Lee Jennifer C JC

Biochemistry 20100301 9

Ionotropic glutamate receptors (iGluRs) are ligand-gated ion channels that mediate excitatory signaling in the central nervous system. When a ligand binds to the extracellular domain of iGluRs, local conformational changes ensue and this motion is translated to the transmembrane domain, inducing channel opening. We have used an isolated ligand binding domain, GluR2-S1S2J (GluR2), as a model system to study the protein-ligand complex by steady-state and time-resolved intrinsic tryptophan fluoresc ...[more]

PMID: 20155979

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Project description:Accurate prediction of the binding affinities of small-molecule ligands to their biological targets is fundamental for structure-based drug design but remains a very challenging task. In this paper, we have performed computational studies to predict the binding models of 31 small-molecule Smac (the second mitochondria-derived activator of caspase) mimetics to their target, the XIAP (X-linked inhibitor of apoptosis) protein, and their binding affinities. Our results showed that computational docking was able to reliably predict the binding models, as confirmed by experimentally determined crystal structures of some Smac mimetics complexed with XIAP. However, all the computational methods we have tested, including an empirical scoring function, two knowledge-based scoring functions, and MM-GBSA (molecular mechanics and generalized Born surface area), yield poor to modest prediction for binding affinities. The linear correlation coefficient (r(2)) value between the predicted affinities and the experimentally determined affinities was found to be between 0.21 and 0.36. Inclusion of ensemble protein-ligand conformations obtained from molecular dynamic simulations did not significantly improve the prediction. However, major improvement was achieved when the free-energy change for ligands between their free- and bound-states, or "ligand-reorganization free energy", was included in the MM-GBSA calculation, and the r(2) value increased from 0.36 to 0.66. The prediction was validated using 10 additional Smac mimetics designed and evaluated by an independent group. This study demonstrates that ligand reorganization free energy plays an important role in the overall binding free energy between Smac mimetics and XIAP. This term should be evaluated for other ligand-protein systems and included in the development of new scoring functions. To our best knowledge, this is the first computational study to demonstrate the importance of ligand reorganization free energy for the prediction of protein-ligand binding free energy.

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Energy transfer ligands of the GluR2 ligand binding core.

Publications

Energy transfer ligands of the GluR2 ligand binding core.

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