Computed Pore Potentials of the Nicotinic Acetylcholine Receptor

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Computed Pore Potentials of the Nicotinic Acetylcholine Receptor Robert H. Meltzer, Wanda Vila-Carriles, Jerry O. Ebalunode, James M. Briggs, Steen E. Pedersen  Biophysical Journal  Volume 91, Issue 4, Pages 1325-1335 (August 2006) DOI: 10.1529/biophysj.106.081455 Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 1 Homology model of the nAChR. (A) The pentamer comprises α(blue), β(red), γ(green), and δ(orange) Torpedo californica subunits, shown with vertical (left) or top down (right) orientations. (B) Stereo view of CrV within the nAChR lumen as positioned according to FRET measurements (green) and the three bound structures determined from Autodock simulations. Charged M2 residues are indicated in red (acidic) and blue (basic) on the ribbon-backbone trace. (C) Angled representation of the structures shown in B. (D) Top-down view of the same structures shown in B. Biophysical Journal 2006 91, 1325-1335DOI: (10.1529/biophysj.106.081455) Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 2 The distance from the agonist binding site to CrV measured by FRET. (A) Spectral overlap of DC6C fluorescent emission (solid line) and CrV absorbance (dashed line; data from Lurtz and Pedersen (16)) when bound to excess nAChR. (B) FRET measured by quenching of DC6C emission in the presence of CrV. The emission spectra of 200nM DC6C in the presence of nAChR (100nM) in the absence (solid line) or presence of 20–200 nM CrV (dashed line), and background fluorescence in the absence of DC6C (dotted line) are shown. (C) FRET efficiency plotted versus CrV concentration with (○) and without (●) 25μM phencyclidine. The dashed lines are asymptotes drawn to the initial and final changes in FRET as described in the Materials and Methods. The arrow indicates the FRET efficiency at stoichiometrically bound DC6C and CrV. Biophysical Journal 2006 91, 1325-1335DOI: (10.1529/biophysj.106.081455) Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 3 Simulated titration curves for charged amino acids at the CrV binding site. Titration curves were computed for 20mM ionic strength (solid line) and 300mM ionic strength (dashed line) as described in the text. (Inset) The effect of pH on [3H]phencyclidine affinity in low ionic strength. Phencyclidine binding constants from Fig. 7 B of Meltzer et al. (10) at various pH values were converted to free energies in kcal/mol using the equation ΔG0=RT lnKD. These binding energies are plotted against the computed charge at the pH for each datum. The fit line gives an intercept of −3.11kcal/mol at zero charge and a slope of 2.56kcal/mol/charge. Biophysical Journal 2006 91, 1325-1335DOI: (10.1529/biophysj.106.081455) Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 4 Vestibular and pore potentials of the nAChR. (A) Electrostatic potentials computed in 150mM ionic strength are rendered with red as negative potential and blue as positive potential. The γ-subunit is removed, and α-subunits are rendered as ribbon structure to visualize the surface of the pore lumen. (B) Electrostatic potentials along the ion conductive pore axis were extracted from Poisson-Boltzmann computations solved on a grid with 3-Å spacing. Potential traces are plotted for nAChR (1, 20) mM; 2, 150mM; 3, 300mM ionic strength, red), the nAChR transmembrane domain (blue), and the nAChR with bound CrV in 300mM ionic strength (green). Biophysical Journal 2006 91, 1325-1335DOI: (10.1529/biophysj.106.081455) Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 5 Inward rectification is caused by the nAChR vestibular potential. The relative ion flux for Na+ (●, ■) and Cl− (○, □) is plotted versus the membrane potential. Flux is compared for the homology model of the nAChR (○, ●) and for the transmembrane domain alone (□, ■). Relative flux was calculated using Eq. 9 as described in Methods. Biophysical Journal 2006 91, 1325-1335DOI: (10.1529/biophysj.106.081455) Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 6 Computational simulation of DEFET from Tb3+ chelates to CrV. (A) Energy transfer rate constants (k20) were computed for Tb0 DEFET to CrV free in solution (○, □) or bound to the nAChR (▵,▿) with varying radii for the chelate. CrV binding was modeled according to Autodock model 1. Energy transfer was computed using the distance from Tb0 to nearest CrV atom (method 1, ○, ▵) or to its central atom (method 2, □,▿). The experimentally determined k20 values for free (solid line) and bound CrV (dashed line) are shown for comparison (10). (B) Local potentials as a function of chelate radius. Energy transfer rates for Tb0, Tb−, and Tb+ were computed to free (○, □) and bound CrV (▵, ▿) and included the effects of the UHBD-derived local surface electrostatic potential, assuming an ionic strength of 300mM. The local potentials near CrV were computed using the Boltzmann distribution from the ratios of k2x using Eq. 8, at various chelate radii. For comparison, the experimentally determined values are shown for free (solid line) and nAChR-bound CrV (dashed line). Computations were carried out with both the distances to CrV atom by method 1 (○, ▵) and method 2 (□, ▿). (C) Comparison of energy transfer rates for the free and various bound CrV structures. Models 1–3 are the Autodocked structures; Manual refers to the bound CrV model derived from FRET distance-based positioning. All computations were solved at 300mM ionic strength at pH 7.0 with a 5-Å chelate radius. (D) Local potentials were computed using Eq. 8 for free and bound CrV at two ionic strengths: 20mM (Low) and 300mM (High). Biophysical Journal 2006 91, 1325-1335DOI: (10.1529/biophysj.106.081455) Copyright © 2006 The Biophysical Society Terms and Conditions