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Journal of Virology, January 2009, p. 673-686, Vol. 83, No. 2
0022-538X/09/$08.00+0 doi:10.1128/JVI.01967-08
Copyright © 2009, American Society for Microbiology. All Rights Reserved.

Interfaculty Institute for Biochemistry, University of Tübingen, D-72076 Tübingen, Germany,1 Institute for Physical and Theoretical Chemistry, University of Tübingen, D-72076 Tübingen, Germany,2 Division of Virology, Department of Clinical Microbiology, University of Umeå, SE-90185 Umeå, Sweden,3 Vanderbilt University School of Medicine, Nashville, Tennessee 372324
Received 18 September 2008/ Accepted 28 October 2008
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A group of highly pathogenic species B Ads use the membrane cofactor protein CD46 as their cellular receptor (18, 20, 25, 44, 50). The heavily glycosylated extracellular portion of CD46 is composed of four short consensus repeat (SCR) modules and a 25-amino-acid sequence rich in serine, threonine, and proline residues (the STP region). CD46 inhibits complement activation by binding separately to C3b or C4b and stabilizes them for proteolytic cleavage by factor I, thus preventing continued complement activation. In addition to Ads, measles virus, human herpesvirus 6, group A Streptococcus pyogenes, Neisseria gonorrhoeae, and Neisseria meningitidis all use CD46 as a specific cellular receptor (10).
Crystallization of the Ad type 11 (Ad11) knob in complex with the N-terminal two SCRs of CD46 (SCR1 and SCR2) established the structural basis for the interaction of species B Ads with CD46 (37). Each knob binds three copies of CD46 with high affinity via large, contiguous surfaces that span almost the entire length of each SCR1-SCR2 fragment. Surprisingly, binding to the Ad11 knob alters the conformation of CD46 by realigning the previously V-shaped two repeats into a linear, rod-like structure. Central to this rearrangement is the Arg280 side chain of Ad11, which is wedged into the SCR1-SCR2 interface of CD46, forming a cation-
orbital contact with CD46 Phe35, as well as a salt bridge with CD46 Glu63. These interactions alter the conformation of Phe35 and Glu63 at the SCR1-SCR2 interface, making the realignment of the two CD46 repeats possible. Remarkably, the CD46 binding Ad11 Arg280 lies parallel to another arginine, Arg279, with the two guanidinium groups stacked against each other (Fig. 1A).
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FIG. 1. Structures of Ad11, Ad7, and Ad14 knobs and comparison with the liganded Ad11 knob. (A) Close-up view of the binding interface between the Ad11 knob (blue) and CD46 (orange), centered at the HI and DG loops of the knob. (B to D) Close-up views of the same regions in the unliganded Ad11 (blue) (B), Ad7 (yellow) (C), and Ad14 (green) (D) knobs. Oxygens and nitrogens are red and blue, respectively. Water molecules are represented by red spheres.
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In order to define the mechanism of CD46 binding by Ads, we performed a structural and functional analysis of three highly similar Ads (25): (i) Ad11, which is known to use CD46 as a high-affinity receptor and for which a crystal structure of the knob in complex with CD46 has been determined; (ii) Ad14, which can bind and infect CD46-expressing cells (25); and (iii) Ad7, which has been reported to bind and infect CD46-expressing cells in one study (17). However, others showed that Ad14 (50) and Ad7 (25, 50) do not use CD46 for attachment but rather use the unknown receptor X (50), which shows characteristics similar to those of the species B Ad receptor (43). The knob proteins of these three Ads are exceptionally similar in sequence and therefore ideally suited for a comparison of structural and functional features. The crystal structures of all three knobs were determined at high resolution. In addition, the interaction with CD46 was in each case characterized with steady-state and solution affinity measurements using surface plasmon resonance (SPR). In the case of Ad11, kinetic measurements were also carried out. The affinity data were then complemented with cell binding assays using whole virions. We also performed quantum chemical calculations in order to explore energetically favorable contacts between Ad knobs and CD46 and analyzed two Ad knob mutants with altered binding affinities. Our results have relevance for the design of Ad knobs with altered binding specificities, as well as for an improved understanding of the parameters that guide the formation of protein-protein contact surfaces.
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Expression and purification of CD46 SCR1-SCR2 and SCR1-SCR4.
The expression and purification of CD46 SCR1-SCR2 (referred to here as D2) was performed as described previously (9). Production of CD46 SCR1-SCR4 (referred to as D4) followed a similar strategy. cDNA encoding amino acids 35 to 288 of human CD46 was cloned into the pBJ5-GS expression vector, which contains glutamine synthetase for selection. The vector was transfected into CHO-Lec 3.2.8.1 cells (48). Stable transfectants were selected by increasing amounts of methionine sulfoxime. The cells were grown in glutamine synthetase-supplemented Ex-Cell 302 CHO serum-free medium (SAFC Biosciences), 5% fetal calf serum (Gibco), and penicillin/streptavidin. D4 was purified by first applying 1 liter cell culture supernatant to concanavalin A-Sepharose (GE Healthcare). Beads were washed with 20 mM HEPES at pH 7.4, 500 mM NaCl, 1 mM CaCl2, 1 mM MnCl2, 1 mM MgCl2, and bound protein was eluted with 12% (wt/vol) methyl
-D-mannopyranoside (Sigma) in wash buffer. After the volume of the eluate was reduced to 2 ml using a Centricon Plus-70 device (Millipore), the protein was further purified using gel filtration on a Superdex 200 column (GE Healthcare), followed by ion-exchange chromatography on a MonoQ 5/50 column (GE Healthcare).
35S labeling of virions and binding studies. Human respiratory epithelial A549 cells were grown in Dulbecco's modified Eagle medium (Sigma Chemical Co., St. Louis, MO) containing 10% fetal calf serum, HEPES, and penicillin/streptomycin (all from Sigma). 35S-labeled Ad11 (strain Slobitski) virions were propagated in A549 cells and purified as described elsewhere (22). In order to quantify binding, 2 x 105 A549 cells were preincubated with increasing amounts of soluble recombinant knobs on ice in binding buffer (Dulbecco's modified Eagle medium, 2% bovine serum albumin, 0.02% sodium azide). After 1 hour, 2 x 109 35S-labeled virions (104 virions/cell) were added to a final volume of 100 µl, and the mixtures were incubated on ice for another hour. Nonbound virions were removed by washing, and the cell-associated radioactivity was measured using a Wallac 1406 liquid scintillation counter (Perkin-Elmer).
Crystallization and structure determination. Crystallization of the Ad7, Ad11, and Ad14 knobs was performed at 20°C using the hanging-drop method and concentrations of about 7 to 10 mg/ml protein. In all cases, well-diffracting crystals were obtained after 4 to 15 days. The crystallization solutions were as follows: for Ad11 knobs, 18% (wt/vol) polyethylene glycol (PEG) 6000, 0.1 M HEPES, pH 7.0; for Ad7 knobs, 23% (wt/vol) PEG 3350, 0.1 M HEPES, pH 7.6; for Ad14 knobs, 20% (wt/vol) PEG 8000, 0.1 M cyclohexyl-2-aminoethanesulfonic acid (CHES), pH 9.0, 200 mM NaCl. In all cases, crystals were grown by mixing 1 µl crystallization solution and 1 µl protein and letting the mixture equilibrate against a larger reservoir of crystallization solution in a sealed compartment. All crystals were flash frozen in liquid nitrogen, and X-ray data were collected at the Swiss Light Source (Villigen Switzerland) beamline X06SA using either a MarCCD (Ad7 and Ad11 knobs) or a Pilatus 6 M detector (Ad14 knob). Data for the Ad11 and Ad7 knobs were integrated and scaled using HKL/DENZO (35), whereas the Ad14 knob data were processed with XDS (23). Initial phases for Ad11 were obtained by molecular replacement using AMoRe (29) and the trimeric Ad3 knob structure (Protein Data Bank [PDB] code 1H7Z) as a search model. The additional knob structures were then solved with PHASER (38) using the Ad11 knob structure as a search model. Initial rigid-body refinement of the solutions was performed with CNS (6, 7), and subsequent refinement was carried out in REFMAC5 (28). Data statistics are given in Table 1. Structural figures were prepared with PyMOL (14).
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TABLE 1. Data collection and refinement statistics
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Kinetic experiments. Kinetic experiments were performed with an Ni-NTA sensor chip. The surfaces of two consecutive flow cells were coated with nickel, followed by immobilization of Ad knobs (Ad11-His6) to the surface of the downstream experimental flow cell via their hexahistidine tags. The Ni-coated surface of the upstream flow cell was used as a reference. The analytes (D2 and D4) were serially diluted in running buffer and injected in series over the reference and experimental biosensor surfaces at a flow rate of 50 µl/min. A sample containing pure running buffer was injected as well under the same conditions. Sensorgrams of each sample were double referenced by subtraction of sensorgrams obtained from the reference surface of each cycle to remove bulk effects, followed by further subtraction of the referenced sensorgram obtained from the running buffer sample injection to remove drift and system noise. The association (on-rate) and dissociation (off-rate) constants (ka and kd) were determined simultaneously by globally fitting double-referenced sensorgrams of the entire titration series to a "1:1 binding with mass transfer" model with BIAevaluation software 4.1 (Biacore). The dissociation constant, KD, was calculated by the following relation: KD = kd/ka. If applicable, kinetic sensorgram series were also analyzed by performing a steady-state analysis to cross-validate the obtained KD values calculated from rate constants. In all kinetic and steady-state experiments, surface regeneration was not necessary, since all interactions showed either very rapid or moderate dissociation rates. However, the NTA chip was stripped of nickel-ligand complex after each interaction cycle using HBS-P containing 350 mM EDTA, followed by nickel coating and ligand immobilization at the beginning of a new cycle.
In cases where micromolar concentrations of CD46 had to be used, NTA chips were replaced by CM5 chips, since a strong nonspecific binding of both D2 and D4 to the Ni-coated biosensor surface in the absence of knobs was observed. The knobs were covalently immobilized to the CM5 biosensor surface of the downstream flow cell by amine-coupling chemistry following the manufacturer's instructions, while the upstream surface was subjected to the coupling reaction in the absence of knobs. The on- and off-rate constants were determined as described for Ni-NTA chips.
To determine the rate constants of interactions that showed high on and off rates, the flow rate and data collection rate were altered. The analyte was serially diluted in running buffer and injected in series over the control and experimental flow cells at a flow rate of 75 µl/min and a data collection rate of 5 Hz. The sensorgrams were double referenced, the rate constants were determined, and the KD was calculated as described above, and the sensorgram series were also analyzed by performing a steady-state analysis to cross-validate the obtained KD values calculated from the rate constants. Note that for all kinetic experiments, low surface immobilization levels were used that, combined with high flow rates and the model used, were supposed to minimize mass transfer effects.
Equilibrium analysis experiments (steady-state experiments). The experimental and reference surfaces were prepared as described above for CM5 sensor chips. For interactions that exhibit extremely high on and off rates, clearly visible as "square-wave" profiles of individual sensorgrams, both the on- and off-rate constants can be outside the measurable range for reliable quantitative evaluation (Biacore 2000 system specifications). If an interaction was not amenable to kinetic experiments, a steady-state experiment approach was used instead for the KD value determination. Analytes were serially diluted in running buffer and injected in series over the experimental and reference surfaces at a flow rate of 5 µl/min. Sensorgrams were double-referenced as described above. The equilibrium binding levels were determined by averaging the response at equilibrium and plotted against the injected CD46 concentration. The KD values were determined by nonlinear curve fitting of a "1:1 Langmuir isotherm" model with BIAevaluation software 4.1 (Biacore).
Solution competition SPR studies (1, 2, 30). All competition assays to determine the affinity in solution were performed with a CM5 sensor chip and a flow rate of 5 µl/min. Experimental and reference surfaces were prepared as described above for CM5 sensor chips. A high-density Ad35 trimer biosensor surface (2,000 resonance units [RU]) was prepared to measure the concentration of unliganded CD46 in solution. The biosensor surface was calibrated by determination of the response level 30 s after the end of injection ("Response30") with a series of known CD46 concentrations. A plot of "Response30" against the concentration of CD46 was fitted using a four-parameter logistic function provided by BIAevaluation 4.1 (Biacore). The biosensor surface was regenerated after each cycle with 1.5 M MgCl2 (Sigma) for 1 minute. Soluble Ad knobs were serially diluted in HBS-EP buffer and mixed with a constant concentration of CD46 (13.6 nM). The mixture was allowed to reach chemical equilibrium at 25°C, and the equilibrated samples were then injected over the biosensor surface and analyzed individually for the remaining unliganded CD46 concentration by determination of the "Response30" values and use of the standard curve. The biosensor surface was regenerated after each cycle with 1.5 M MgCl2 (Sigma) for 1 minute. Injection of equilibrated samples containing micromolar concentrations of fiber knobs exhibited negative response values during association, which were caused by a refractive index artifact that is related to different immobilization levels of the reference and experimental flow cells. This artifact, however, does not affect the dissociation phase and "Response30" values, respectively. A plot of the measured unliganded CD46 concentrations versus the total concentration of added soluble Ad knob protomers (equal to the Ad knob binding site concentration) was fitted to the "solution affinity" model provided by BIAevaluation software 4.1 (Biacore) to obtain the KD of the interaction between one CD46 and one soluble Ad knob protomer in solution.
Computational details. To generate protein structures suitable for the calculations, hydrogen atoms were added to the coordinates of the Ad11 knob-D2 complex (37) using the REFMAC5 tool (28) of the CCP4 package (11) and optimized with a static variant of the Merck molecular force field (MMFF) while all non-hydrogen atom coordinates were taken from the X-ray data without further computational optimization. One monomeric Ad11-CD46 complex was chosen for all calculations. In order to generate a putative Ad7 knob-D2 complex, residues of Ad11 that were not conserved in the Ad7 knob were replaced with the respective Ad7 counterparts.
Since the reliable description of solvent effects is still a major challenge in quantum chemistry, all calculations were performed in vacuo. Although the missing solvent will certainly affect the total binding energies, we expect that relative energies and, in particular, those following the interchange of various amino acids are much less influenced (due to a systematic cancellation of influences).
While recently developed linear-scaling quantum chemical methods (reference 32 and references therein) allow the calculation of systems with 1,000 and more atoms, the calculation of about 5,000 atoms for the total Ad11-CD46 system is extremely demanding. For this reason, we studied smaller subsystems of the two complexes with CD46. When choosing subsystems of the structure, the N termini were saturated as formamide (
NH
CHO), while the C termini were saturated as amide (
CO
NH2). The saturation of the subsystems was carried out using the program package Maestro 7.5 (41). Whenever possible, the positions of the atoms of saturating groups were taken from the neighboring units within the respective superstructure so that only the positions of newly attached hydrogen atoms had to be reoptimized.
Quantum chemical calculations were performed at the Hartree-Fock level (49) and improved by second-order many-body perturbation theory (MP2) (49) using the resolution of identity (RI) approximation (15, 16). The RI-MP2 method allows accounting for the often highly important dispersion-type effects, which are neglected in the simpler Hartree-Fock or common density-functional-theory approaches. The RI-MP2 results are the most accurate in the present study, while the force field data deviate up to 55 kJ/mol from these results for the present systems. The basis set SVP (40) was used in the RI-MP2 and Hartree-Fock calculations, and only pure spherical harmonic Gaussians were employed. Interaction energies were corrected for basis set superposition errors using the counterpoise scheme (4). All ab initio calculations were performed using a developmental version of the program package Q-Chem (Q-Chem, Inc., Pittsburgh, PA) employing the CFMM (46, 52) and LinK (33, 34) methods. For MMFF force field calculations, the Macromodel program (27) was used.
Protein structure accession numbers. The structures have been deposited with the Protein Data Bank (http://www.rcsb.org) with accession numbers 3EXW (Ad7 knob), 3EXV (Ad11 knob), and 3F0Y (Ad14 knob).
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contacts between the guanidinium groups occur in both pairs. In addition to Arg280, residue Asp284 in the Ad11 HI loop also undergoes a rotation as it engages His43 in CD46. The remaining CD46-contacting residues of the Ad11 knob occupy essentially the same conformations before and after binding.
Structures of the Ad7 and Ad14 fiber knobs.
Ad11 uses CD46 as a high-affinity receptor (36, 37, 51). It is unclear whether the closely related Ad7 and Ad14 also do so (17, 18, 20, 21, 25, 44, 50). The knobs of all three Ads are highly similar in sequence, indicating that the differences in binding are due to specific amino acid exchanges. In order to provide a structural basis for the observed differences in CD46 binding, we determined the high-resolution crystal structures of the Ad7 and Ad14 knobs with excellent geometry (Table 1). The two structures can be superimposed onto that of the Ad11 knob with an r.m.s. deviation of about 0.3 to 0.4 Å using all C
atoms (Ad7 protomer, 0.218 Å, and trimer, 0.296 Å; Ad14 protomer, 0.445 Å, and trimer, 0.387 Å), indicating a high degree of structural similarity. The HI, DG, and IJ loops, which engage CD46 in the Ad11-CD46 complex, have very similar conformations in all three unliganded knobs. This is somewhat surprising, as the shape complementarity between the Ad11 and CD46 surfaces appeared to be a hallmark of the complex (37). The mutation of Arg279 in the Ad11 HI loop to Gln was shown earlier to abolish binding to CD46-expressing cells (21). Both Ad7 and Ad14 carry a glutamine at position 279. Surprisingly, this substitution does not change the CD46-binding surface and does not alter the conformations of the HI and DG loops. In Ad11, Arg279 forms direct hydrogen bonds to Asn247 and Glu250 in the DG loop (Fig. 1B). In Ad7 and Ad14, the Gln279 side chain also contacts the DG loop, but in this case Asn245, albeit via a water molecule (Fig. 1C and D). Thus, in all three cases, polar interactions between the DG and HI loop exist, holding them in essentially the same conformation. Most importantly, the Arg280 side chain would also be able to rotate next to Gln279 and engage CD46 in Ad7 or Ad14.
The differences in binding to CD46 must therefore be due to altered contacts between CD46 and Ad knob side chains and not to larger structural differences. As was seen in the unliganded Ad11 knob (Fig. 1B), the Arg280 side chain stacks against Arg291 in both Ad7 and Ad14 (Fig. 1C and D). This unusual interaction places two positive charges next to each other and must be energetically favorable for three reasons: (i) it is seen in all three unliganded knobs, which were crystallized under different conditions; (ii) it is seen despite the fact that Arg280 could adopt several other rotamer conformations; and (iii) it is not caused by crystal contacts, as there are none in the vicinity of Arg280. However, both arginine side chains are fully solvent exposed in all three cases. We therefore think it likely that solvent molecules and ions present in the buffer solutions contribute to the stability of the interaction by absorbing some of the charges and that the two guanidinium groups form stabilizing
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interactions.
The Ad7, Ad11, and Ad14 knobs all bind to CD46, but with differences in complex stability. We next used steady-state and kinetic SPR analysis to determine the binding characteristics of all three knobs to CD46. Both the D2 and D4 versions of CD46 were used. Kinetic analysis of the Ad11-D2 and Ad11-D4 (Fig. 2A and B) interactions revealed KD values of 11 and 13 nM, respectively. These values are similar to the published KD value of 15.5 nM for the Ad35-D2 interaction (51), indicating that Ad11 and Ad35 bind CD46 with similarly high affinities. In addition, the highly similar on-rate (ka values of 1.3 x 106 M–1 s–1 and 0.8 x 106 M–1 s–1, respectively) and off-rate (kd values of 0.014 s–1 and 0.009 s–1, respectively) (Table 2 and Fig. 2A and B) constants of the Ad11-D2 and Ad11-D4 complexes, which match the binding mechanism, provide clear evidence that the third and fourth repeats of CD46 do not contribute to Ad11 binding (Fig. 2A and B). This result is in good agreement with the crystal structure of the Ad11-D2 complex (37).
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FIG. 2. Kinetic and equilibrium SPR analyses of CD46-knob interactions. (A and B) Kinetic analysis of CD46-D2 (A) and -D4 (B) binding to immobilized Ad11 knobs. Double-referenced sensorgrams (shown in color) are overlaid with fits of a "1:1 binding with mass transfer" model (black lines) on top over the corresponding residual values showing the kinetic-fit range and absolute deviation ( ) of data points from curve fit values. (C to F) Equilibrium analysis of CD46-D2 (C and E) or -D4 (D and F) binding to immobilized Ad7 (C and D) and Ad14 (E and F) knobs. Equilibrium (Eq) response values (colored squares) are plotted against CD46 concentrations and fitted to a "1:1 Langmuir isotherm" model (black line). The insets show overlay plots of double-referenced sensorgrams (shown in color) with overlaid average fits (black lines; indicated by arrows) of equilibrium response values. The shaded boxes contain additional information about setup details and measured parameters.
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TABLE 2. Affinity data determined by SPR
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Although no absolute values for rate constants can be obtained in steady-state analysis, dissociation of the different knobs from CD46 can at least be qualitatively ranked in terms of their kd values. An increase in kd values generally reflects a loss of energetically favorable short-range interactions at the binding interface of the two interacting molecules, which makes the kd value a direct measure of the stability/lifetime of the complex (12, 31, 45, 55). Compared to the Ad11 knob, the Ad7 and Ad14 knobs dissociate significantly faster and must therefore have considerably higher kd values (Fig. 2). Thus, the Ad7 and Ad14 interactions with CD46 are probably based on fewer stabilizing interactions than those seen in the Ad11 complex.
Ad11, Ad14, and Ad7 knobs bind the same epitope on CD46. The weaker affinity and faster dissociation of the Ad7-CD46 and Ad14-CD46 complexes compared to Ad11 could result from (i) different binding areas on the knobs for CD46, (ii) conformational changes of loops that were shown to be important for CD46 binding in the Ad11-CD46 complex, and (iii) different binding areas on D2 for the individual knobs. To determine whether the three knobs bind the same epitope of D2, we performed SPR solution competition analysis (Table 2 and Fig. 3). The crystal structure of the Ad11 knob in complex with D2 showed that each trimeric knob binds three D2 molecules and that there are no contacts between the D2 subunits. Accordingly, all models used for fitting the SPR data are based on the assumption of a simple 1:1 interaction between knob protomers and CD46.
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FIG. 3. Solution competition SPR analysis with soluble Ad11, Ad7, and Ad14 knobs. Shown are solution competition analyses of four soluble Ad knobs competing with surface-immobilized Ad35 knob for binding to CD46. Starting on the left, the columns (A to D) show the four successive steps of a competition experiment. (A) Double-referenced sensorgrams (shown in color) generated with 10 different concentrations of CD46 (0.12 to 60 nM) binding to an Ad35 knob biosensor surface with "Response30" values indicated (red arrows). (B) "Response30" values (black squares) plotted against the CD46 concentration and fitted using a four-parameter logistic function (red line) to create a standard curve. (C) Double-referenced sensorgrams generated from equilibrium mixtures of 10 different concentrations of soluble Ad knob with 13.6 nM CD46. "Response30" values are indicated (red arrows). The gray shaded boxes show setup details. (D) Plots of unbound CD46 against the total concentration of soluble-knob protomers (colored squares) fitted to a "solution affinity" model. The gray shaded boxes show the determined solution KD values of the CD46-soluble-knob interaction.
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FIG. 4. SPR epitope mapping of CD46. Shown is an overview of solution competition SPR experiments. Soluble Ad7, Ad14, and Ad11 knobs were each tested for the ability to block binding of CD46 to immobilized Ad35 knobs. Blocking is shown as black lines, while the dashed lines indicate blocking interactions that were not experimentally determined but are a logical consequence of the experimentally determined blocking results. Soluble Ad35 knob was used as a positive control. (A) Schematic snapshot showing an equilibrium mixture of CD46 and soluble Ad knob. The gray shaded box shows setup details. A, analytic; L, ligand. (B) Scheme of binding possibilities of CD46 if both soluble (s) and immobilized (i) knobs recognize the same binding epitope of CD46. (C) Schematic snapshot of the equilibrium mixture when injected over the Ad35 biosensor surface. Unbound CD46 binds immobilized Ad35 and generates the response signal used for analysis.
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FIG. 5. Binding of 35S-labeled Ad11 virions to human respiratory epithelial (A549) cells. Soluble Ad11, but not Ad7 or Ad14, knobs block binding of 35S-labeled Ad11 virions to A549 cells in a dose-dependent manner. The error bars indicate standard deviations.
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FIG. 6. Kinetic and equilibrium SPR analyses of CD46 binding to Ad11-R279Q and Ad7-Q279R mutant knobs. (A and B) Kinetic analysis of CD46 binding to immobilized Ad11- R279Q (A) and Ad7-Q279R (B) mutant knobs. Double-referenced sensorgrams (shown in color) are overlaid with fits of a "1:1 binding with mass transfer" model (black lines) on top over the corresponding residual values showing the kinetic-fit range and absolute deviation ( ) of data points from curve fit values. The arrows indicate data used for equilibrium analysis. (C and D) Equilibrium analysis of CD46 binding to Ad11-R279Q (C) and Ad7-Q279R (D) mutant knobs. Equilibrium (Eq) response values (colored squares) obtained from data in panels A and B were plotted against the CD46 concentration and fitted to a "1:1 Langmuir isotherm" model (black line). The gray shaded boxes show setup details (black font) and measured parameters of the kinetic (blue font) and equilibrium (red font) analyses.
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FIG. 7. Solution competition SPR analysis with soluble Ad11-R279Q and Ad7-Q279R knobs. Shown are solution competition analyses of Ad11-R279Q (A) and Ad7-Q279R (B) knobs competing with surface-immobilized Ad35 knob for binding to CD46. Unbound CD46-D2 was plotted against the total concentration of soluble-knob protomers (colored squares) and fitted to a "solution affinity" model. The gray shaded boxes show the determined solution KD values of the CD46-D2-soluble-knob interaction. The plots were obtained as described in the legend to Fig. 3.
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FIG. 8. Overview of knob-CD46 interactions. Shown is an overview of KD values of knob-CD46 interactions evaluated in this study. The KD values are plotted on a log10 scale and represent averaged values from kinetic, steady-state, and solution competition SPR experiments. Percent changes of affinity are indicated.
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Computational studies. To gain further insight into the factors governing the different affinities of Ad11 and Ad7 knobs for CD46, quantum chemical calculations were performed. As the experimental X-ray structures for the Ad11 and Ad7 knobs suggest a strong similarity, it is useful to compare the stability of the Ad11-CD46 complex to that of a hypothetical Ad7-CD46 complex (see "Computational details" above).
The first evidence supporting the preferred binding of Ad11 is provided at the simple force field level, indicating that Ad11 binds CD46 more strongly by 348 kJ/mol than Ad7 (Table 3). In order to gain more reliable information, quantum chemical calculations were performed to explore which parts of the Ad11 and Ad7 knobs control the interaction energies. For this purpose, we studied smaller subsystems of the two complexes with CD46. To study the strong dependence of binding effects on Arg279, we chose a subsystem containing the stacked Arg279 and Arg280 residues of Ad11, as well as the Glu63 and Phe35 residues of CD46. Since charge delocalization is expected to be important, parts of the protein environment were taken into consideration by inclusion of five additional amino acids (Asn245, Asp246, Asn247, and Glu250 of Ad11 and Thr64 of CD46). This subsystem containing overall 9 amino acids was denoted S9-Ad11.
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TABLE 3. Interaction energies ( E) of CD46 with Ad11 and Ad7
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Overall, the quantum chemical calculations are in line with the experimental observations, indicating that there is a strongly preferred binding of CD46 to Ad11 compared with Ad7, and a significant part of the interaction process can be attributed to the presence of the Arg279 group.
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We first determined the structures of all three knobs to very high resolution. The three structures superimpose very well, including the regions that serve as the binding site for CD46 in Ad11 (37). This provides evidence that differences in binding are not due to differences in the arrangement of surface loops. The structure of the complex between CD46 and the Ad11 knob showed that Arg280 mediates central contacts with CD46. This residue is conserved in all three knobs, and it also has the same conformation, with its guanidinium group stacked against that of the Arg291 side chain in unliganded knobs. Comparison with the structure of the Ad11 knob-CD46 complex showed that the Arg280 side chain must flip 170° in order to engage CD46. Intriguingly, Arg280 stacks against another arginine, Arg279, once the complex has formed. Thus, Arg280 is in an "off position" in all three unliganded knobs and switches to an "on position" in Ad11 upon engagement of CD46 (Fig. 9A and B).
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FIG. 9. Proposed mechanism for binding to CD46. Shown is a view into the central Ad11-CD46 contact area around Arg280. CD46 and the Ad11 knob are shown in orange and blue, respectively. As CD46 approaches the Ad11 knob, Arg280 flips over from its "off position" near Arg291 (A) and swings next to CD46 Phe35 and Ad11 Arg279 into the "on position" (B). A theoretical model for an Ad7 knob-CD46 complex is shown in panel C, with the Ad7 knob in yellow and CD46 in grey. A Gln at position 279 would not interfere sterically with a rotating Arg280.
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It seems plausible to suggest that the replacement of Arg279 with Gln, as seen in Ad7 and Ad14, does not favor the flip of the Arg280 side chain into the "on position." Comparison of the liganded Ad11 knob and the unliganded Ad7 knob (Fig. 9B and C) structures clearly demonstrates that there are no clashes with Gln279 that would prevent a similar flip in Ad7. In fact, there is ample space to accommodate the Arg280 side chain next to Gln279 in the Ad7 knob, as well as in the Ad14 knob.
The crystal structures of all three unliganded knobs uniformly show that the Arg280 side chain stacks against Arg291, indicating a preferred arrangement of these two arginine residues. Energetically favorable
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interactions between the guanidinium groups likely stabilize this arrangement. Only the Ad11 knob offers a second arginine residue at position 279, with which a similar
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interaction can be formed. Quantum chemical calculations show a much larger binding energy between CD46 and Ad knobs if an arginine at position 279 is present. The Ad7 and Ad14 knobs would be able to make some initial contacts with CD46, but lacking a correctly positioned Arg280 to engage the CD46 interface, they would not be able to elicit the conformational change in CD46 that straightens the receptor. As this conformational change enables additional stabilizing interactions between the knob and CD46, a high-affinity interaction with low off-rate constants, as seen with Ad11, becomes impossible. This interpretation is in excellent agreement with the SPR data, which show a dramatic increase in the KD (in line with an increase in the kd) when Arg279 is mutated to a glutamine in Ad11. However, the SPR data also clearly demonstrate that a single substitution at position 279 is not sufficient to transform the CD46-binding properties of Ad11 into those of Ad7, or vice versa, showing that other amino acid side chains of the Ad11 knob interface with CD46 contribute to binding.
Taken together our data indicate that all three knobs interact with CD46 but probably use different binding mechanisms. However, whether this translates into productive infection of cells is questionable, as it appears unlikely that Ad7 and Ad14 would use CD46 as their sole receptor due to the significantly weaker complex stability (12) than with the Ad11 and Ad35 knobs. It is certainly possible that CD46, in addition to Ad11, also functions as a cellular receptor for Ad7 and Ad14 on certain cell types that carry especially high densities of CD46, which would increase the avidity of the virus for the cell, perhaps triggering entry. In addition, CD46 could function as an adhesion-strengthening receptor that is engaged only once another receptor, such as receptor X (50), is engaged or that facilitates the engagement of receptor X.
Arginine residues are often found at protein interfaces, and a comparative analysis of protein complexes has shown that, among all amino acids, arginines are the most abundant residues in such contacts, accounting on average for about 10% of the total contact interface area (5, 13). Furthermore, many contacts involving arginine residues are interactions that in more than 50% of the observed cases feature a coplanar arrangement of the positively charged guanidinium group of the arginine and the
-electron system of aromatic ring systems in amino acids (8, 13). The energy gain of such interactions can even exceed that of a salt bridge (19). By comparison, the stacking of two similarly charged arginine residues, as observed here, is rare. A search of the PDB revealed only a small number of such contacts. For example, an arginine stacking is present at the interface of the glutathione-S-transferase homodimer (PDB code 1GUH) (47), and it contributes to the recognition of a substrate-based inhibitor in the human immunodeficiency virus type 1 protease (PDB code 4HVP) (26). Our analysis points to a key role of such an arginine stacking in the high-affinity recognition of at least one viral receptor. As structural information about virus-receptor complexes is still very limited, we think it possible, and perhaps quite likely, that arginine pairs will emerge as receptor-binding determinants for more viruses and also for other pathogens. Taken together, our data contribute to a better understanding of the Ad life cycle, provide a target for the development of novel antiviral drugs, and form the basis for more efficient design of Ad-based vectors with altered receptor-binding properties for gene and cancer therapy approaches.
Financial support for this study was provided by Deutsche Forschungsgemeinschaft (DFG) grants STE-1463 and SFB-685 (T.S.) and Swedish Research Council grants 2003-6008, 2004-6174, and 2007-3402 (N.A.). B.B.T.S. is supported by a graduate fellowship from the Cusanuswerk-Bischöfliche Studienförderung. C.V.S. thanks the Fonds der Chemischen Industrie (FCI) for a graduate fellowship. S.S. is grateful to the Studienstiftung des deutschen Volkes for a graduate fellowship. C.O. acknowledges financial support by the DFG.
Published ahead of print on 5 November 2008. ![]()
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