Abstract
GABA is the major inhibitory neurotransmitter in the nervous system and acts at a variety of receptors including GABAC receptors, which are a subclass of GABAA receptors. Here we have used molecular dynamics simulations of GABA docked into the extracellular domain of the GABAC receptor to explain the molecular interactions of the neurotransmitter with the residues that contribute to the binding site; in particular, we have explored the interaction of GABA with Arg104. The simulations suggest that the amine group of GABA forms cation-π interactions with Tyr102 and Tyr198, and hydrogen-bonds with Gln83, Glu220, Ser243, and Ser168, and, most prominently, with Arg104. Substituting Arg104 with Ala, Glu, or Lys, which experimentally disrupt GABAC receptor function, and repeating the simulation revealed fewer and different bonding patterns with GABA, or the rapid exit of GABA from the binding pocket. The simulations therefore unveil interactions of GABA within the binding pocket, and explain experimental data, which indicate that Arg104 is critical for the efficient functioning of the receptor.
INTRODUCTION
GABAC receptors, which are a subfamily of GABAA receptors, are members of the Cys-loop superfamily of ligand-gated ion channels (LGICs), an important group of receptors involved in rapid synaptic transmission and whose malfunction can result in a variety of neurological disorders; hence, understanding their mechanism of action is of considerable pharmacological interest. GABAC receptors are mostly located in retinal neurons where they play a role in retinal signaling and may be involved in diseases such as macromolecular degeneration (1). The receptors are activated by the binding of GABA, the main inhibitory neurotransmitter in the central nervous system. GABAC receptors have distinct pharmacological properties from GABAA receptors, e.g., they are not inhibited by bicuculline, the classic GABAA receptor antagonist (2,3).
Like all the LGICs belonging to the Cys-loop superfamily, GABAC receptors are composed of five subunits arranged in a pentagonal array around a central ion-permeant pore. Each subunit has an extracellular N-terminal domain (ECD), a transmembrane domain composed of four α-helices, and an intracellular domain. Three subunits (ρ1–3) have been identified; these can all form functional homomeric or heteromeric receptors (4). Our study is focused on the homomeric receptors consisting of ρ1 subunits.
Due to the lack of detailed structural information for GABAC receptors, homology models of its ECD have been computer-generated using, as a template, the structures of the acetylcholine binding protein (AChBP), a protein homologous to the ECD of LGICs of the Cys-loop superfamily (5–8).
GABA binds in its zwitterionic form, with the negative charge localized in the carboxylate group and the positive charge in the amine group (9). The alleged GABA binding site, shown in Fig. 1, is at the interface between subunits and is constituted by residues associated with several noncontiguous loops (A–F), including several aromatic residues (Tyr102 in loop D, Tyr198 in loop B, and Tyr241 and Tyr247 in loop C), which form the classic Cys-loop receptor aromatic “box,” and polar and charged residues (Gln83, Arg104 in loop D, Arg158 and Ser168 in loop E, Glu220 in loop F, and Ser243 in loop C). Docking studies indicate that the amine group of GABA is inside the tyrosine-made aromatic cage, while the GABA carboxylate group is likely to be located in between the positively charged Arg104 and Arg158 (5,6).
Mutagenesis experiments, combined with Hartree-Fock calculations, confirmed the amine orientation by identifying a cation-π interaction with Tyr198 (10). The roles of the charged and hydrophilic residues located in or close to the alleged binding site were also investigated by mutagenesis experiments: the results showed that two arginines, Arg104 and Arg158, are crucial for the binding of GABA and/or for receptor function (6). In fact, the substitution of Arg104 with either Ala or Glu resulted in >10,000-fold increases in EC50s, while the substitution with Lys resulted in nonfunctional receptors; the substitution of Arg158 with Ala, Glu, and Lys resulted in nonfunctional receptors.
Experimental data suggest that the orientation of GABA in GABAC receptors is subtly different from that in GABAA receptors, where the neurotransmitter has been shown to have a cation-π interaction with an A-loop (rather than a B-loop) residue (11). In the GABAC receptor, both Arg104 and Arg158 have been shown, experimentally, to be important for binding and/or function, while in the GABAA, receptor αArg66, the residue equivalent to Arg104, has been shown to be important for receptor function (12,13) and is proposed to form a part of a crown of arginines that stabilize the carboxylate group (14).
To explore the interactions of GABA in the binding site, we performed molecular dynamic (MD) simulations of a homology model of the GABAC receptor ECD in water to validate the homology model and assess the interactions of GABA inside the alleged binding site. We then focused on the role of Arg104 by mimicking previous mutagenesis experiments that evaluated how substitution with Ala, Glu, and Lys affected receptor function (6).
METHODS
For the classical molecular dynamics simulations we used the AMBER2003 force field (15) and the AMBER simulation package (16). The initial structure was the homology model for the GABAC receptor ECD with the neurotransmitter GABA docked in.
Briefly, using FUGUE (17), the sequence of the ρ1 subunit of the human GABAC receptor was aligned to the AChBP sequence, based on the 2.7 Å resolution structure from Lymnaea stagnalis (18), as shown in Fig. 2. This is considered to be a ligand-bound structure and therefore is an appropriate template for ligand binding studies.
The three-dimensional models of the extracellular domain of the GABAC receptor were then built using MODELLER (19) by threading the aligned sequence over the crystal structure of AChBP. The most energetically favorable models were selected from the MODELLER output file using the ModelList program (http://www-cryst.bioc.cam.ac.uk/) and violations of the Ramachandran plot were checked using RAMPAGE (21). The homology model is similar to those previously reported for GABAC receptors (5–8), and also similar to GABAA receptor models (11,12).
Docking was performed using FLExX (BioSolveIT, Sankt Augustin, Germany). In particular, the docking model chosen is consistent with “orientation 3” in Harrison and Lummis (5), where GABA has its amine close to Tyr198, its carboxylate close to Arg104, and is within 5 Å from Arg158; this was subtly different to the orientation of GABA obtained using a different docking program, where the carboxylate group was within 3 Å of Arg158 (6). Docking models are frequently inaccurate due to many simplifications used in their implementation, whereas MD simulations can provide considerably more accurate data as to the location of a ligand in a binding pocket by refining initial docking structures (22,23).
The use of classical molecular dynamics allowed us to simulate the whole extracellular domain; mutations with natural amino acids are also adequately described by the use of available classical force fields, while mutations with unnatural amino acids or unusual residues may require a treatment with ab initio techniques (24).
We used the program H++ (25) to evaluate the protonation state of the protein ionizable groups by calculating their pKa shift with respect to the standard pKa at neutral pH. After the protonation procedure, the total number of atoms was 16,915 and the total charge of the system was neutral. The GABA atomic partial charges were the ESP partial charges (26) calculated at a density functional theory level with the CPMD code (27), using the PBE gradient corrected functional for the exchange and correlation potential (28) and norm conserving Martins-Troulliers pseudopotentials (29), with a kinetic energy cutoff for the wavefunction expansion in plane waves of 70 Ry. The GABAC receptor ECD was surrounded by 18,314 TIP3P water molecules in a periodically repeated truncated octahedral box. To reproduce physiological conditions, 0.15 M dissociated KCl was added (equivalent to 49 K+ ions and 49 Cl− ions in our system). The electrostatic contributions were evaluated with the particle mesh Ewald method (30) using a cutoff for the direct space sum of 10 Å. We used an integration time step of 2 fs and constrained the bonds' length involving hydrogens with the SHAKE algorithm (31).
After a preliminary minimization, we equilibrated the system at constant temperature and pressure. First, we thermalized the solution at 310 K for 60 ps with a Langevin thermostat (32) with a collision frequency γ = 1 ps−1. Then we performed a 5 ns molecular dynamics simulation with the system coupled to a Berendsen thermostat at 310 K and a Berendsen barostat at 1 atm with coupling constants τT = 2 ps and τP = 2 ps, respectively (33). During the first nanosecond, we restrained the 20 (out of 209) amino acids closest to the transmembrane domain of each subunit to mimic the presence of the transmembrane domain. We then decreased the number of restrained residues from 20 to 10 for each subunit, to avoid restraints close to the GABA binding site, and equilibrated the system for further 4 ns. Finally we started a production run, which ran for 3.75 ns.
We analyzed the trajectory by evaluating the occurrence of the hydrogen bonds and cation-π interactions involving GABA. To identify the hydrogen bonds, we used as a criterion the distance between donor and acceptor (<3.5 Å) and the donor-hydrogen-acceptor angle (>120°). To identify the cation-π interactions, we used as a criterion the distance between the GABA amine nitrogen and the center of mass of the phenyl ring (<5 Å) and the angle between the normal to the phenyl ring and the vector pointing from the ring center of mass to the GABA amine nitrogen (<45°).
RESULTS AND DISCUSSION
Stability of the homology model and binding of GABA to the GABAC receptor
The root-mean-square displacement (RMSD) of the protein backbone (calculated with respect to the initial minimized structure) is shown in Fig. 3 (top) together with the RMSD of the backbone of the residues in the binding pocket (bottom). These were defined as the residues within 10 Å from GABA in the minimized structure. The RMSD value stabilized at ∼3 Å for both the protein and the binding site with only 10 out of 209 residues per subunits restrained. The homology model is therefore stable. Similar RMSDs were also calculated for the mutated receptors (34).
GABA remained bound to the GABAC receptor for the whole MD simulation. Its carboxylate group was always hydrogen-bonded to Arg104, but the amine group was more mobile. During the first 2 ns of the production run, the amine group formed a cation-π interaction with Tyr102, then GABA rapidly rotated ∼100° to form a cation-π interaction with Tyr198, as in the initial configuration. Two MD snapshots representative of the two orientations are shown in Fig. 4. Translations and rotations of GABA are shown in Fig. 5, where we monitored the distance between the position of the GABA center of mass at the beginning and at a generic time of the production run and the modulus of the angle between the lines passing through the center of mass and the amine nitrogen at the beginning and at a generic time of the production run. Very similar trends were found for the angle involving the carboxylate carbon rather than the amine nitrogen (34). Besides interacting with GABA, Arg104 formed on average 1.53 hydrogen bonds with Asp81 (equivalent to the sum of the time occurrence percentages of the hydrogen bonds between Arg104 and Asp81 divided by 100), of which 0.74 were as acceptor and 0.79 as donor.
Further binding partners of GABA were also identified in the two stable orientations. These were: Ser168, which formed hydrogen bonds with the carboxylate group; Gln83 and Glu220, which formed hydrogen bonds with the amine group, when GABA performed the cation-π interaction with Tyr102; Ser243, which formed hydrogen bonds with the carboxylate group; and Tyr198, which formed hydrogen bonds with the amine group, when GABA performed the cation-π interaction with Tyr198. Further details of the time occurrences of these interactions are shown in Fig. 6. On average, the carboxylate group formed 1.67 hydrogen bonds with Arg104, 0.53 with Ser243, and 0.50 with Ser168, while for the amine group the data show 0.34 with Gln83, 0.33 with Tyr198, 0.29 with Glu220, 0.20 with Ser242, and 0.14 with Tyr241 giving a total of 3.82 hydrogen bonds. GABA formed on average 0.31 cation-π interactions with Tyr102 and 0.41 with Tyr198, giving a total of 0.72 cation-π interactions. These results suggest a possible conflict with the experimental data, which indicate a cation-π interaction only with Tyr198. Tyr102 is clearly important, but has been proposed to be involved predominantly in gating but not binding (7). However, it may be that the interaction with Tyr102 is nonproductive, i.e., cannot result in gating, but is perhaps important for allowing GABA to interact with other residues, e.g., Ser168, which has been shown to be important for binding (6,10).
We did not observe any bond of GABA with the other critical binding pocket arginine, Arg158, during the whole simulation. In our initial configuration from the docking, both Arg104 and Arg158 were initially within 5 Å from GABA (considering any atom of the residues), which remained in the binding pocket for all the simulations, although the carboxylate group was closer to Arg104 and remained too far from the side groups of Arg158 to form hydrogen-bond interactions. While we cannot completely exclude some influence of the initial conditions, GABA was free to reorient itself and the system was equilibrated for a sufficiently long time to show whether Arg158 was a better binding partner than Arg104 for GABA. Thus we can infer that Arg104 has a more important role in binding GABA than Arg158, although the latter does have a number of interactions as discussed below.
During the production run, Arg158 formed hydrogen bonds with other residues: on average 0.96 with Gln160, 0.92 with Leu166, and 0.18 with Ala199. To test the effects of Arg158 mutations, we performed molecular dynamics simulations of the Arg158Ala, Arg158Glu, and Arg158Lys mutant receptors, with the same simulation protocol used for the wild-type receptor. The hydrogen bond between the NH group of Leu166 and the oxygen of the carboxylic group of the residue at position 158 was maintained in all cases, with fairly high occurrences (92% for Arg158, 96% for Ala158, 80% for Glu158, and 99% for Lys158, which also acted as a donor through its NH group for another hydrogen bond with Leu166 with 61% occurrence). The side chain of the positively charged Arg158 and Lys158 formed a rather infrequent (18% in both cases) hydrogen bond with Ala199, but only Arg158 interacted with Glu160, with the three nitrogens of its side group acting, in turn, as donors for an average of 0.96 hydrogen bonds. The two oxygens of the negatively charged carboxylate group of Glu158 formed hydrogen bonds with Ser243 with an occurrence of 62% each, while the neutral side chain of Ala158 did not interact with any residue. The mutations also indirectly affected the binding of GABA, in different ways for the different mutations. Specifically in the Arg158Lys receptor, the GABA carboxylate group did not bind to Arg104. It formed, on average, 0.21 hydrogen bonds with Lys158, 0.34 with Ser242, 0.15 with Ser243, and 0.09 with Ser168; the GABA amine group maintained on average 0.32 cation-π interactions with Tyr198 and 0.49 hydrogen bonds with Tyr198, 0.26 with Met156, and 0.48 with Ser168. In the Arg158Glu receptor, the GABA carboxylate group did interact with Arg104 (with an average of 1.37 hydrogen bonds, plus 0.89 and 0.96 hydrogen bonds with Ser168 and Ser242, respectively), but the amine group did not form any cation-π interaction with Tyr198 or any other residues. It did, however, form hydrogen bonds with Glu158 (with an occurrence of 52%) and very infrequently with Ser243 (6%) and Glu168 (6%). In the Arg158Ala receptor, the GABA carboxylate group interacted with two of the nitrogen groups of the side chain of Arg104 (forming on average 2.50 hydrogen bonds), and with the two serines Ser168 and Ser243, forming on average 0.97 and 0.14 hydrogen bonds, respectively; the GABA amine group also maintained a cation-π interaction with Tyr198 for 60% of the production run, and was also involved in, on average, 0.42 and 0.91 hydrogen bonds with Tyr247 and Leu166, respectively. Thus our data suggest that the lack of function in the Arg158 mutant receptors is due to changes in the hydrogen-bond network, which could affect the binding of GABA and/or the links between the binding site and channel opening.
There has been a previous MD investigation of the extracellular domain of the GABAC receptor (8), based on a homology model built on a different structure of AChBP (from Aplysia californica at 2.02 Å resolution (35)). In this study, the chosen orientation of GABA from a docking procedure has similarities with ours: the GABA carboxylate group forms a salt-bridge with Arg104 and the amine group interacts with Tyr198 and Tyr241. A molecular dynamics study was performed for 7 ns on this structure, with partial solvation limited to sphere of 20 Å radius around the neurotransmitter, with the AMBER simulation package; it was found that GABA was very unstable in the binding site and interactions with important amino acids disappeared. In an additional simulation, where the docking procedure was performed on a structure obtained by a molecular dynamics equilibration, GABA was more stable with recorded interactions between the carboxylate group and Arg104, although no quantitative information is available for comparison with our data.
Mutations of Arg104 with Ala, Glu, and Lys
To further test the role of Arg104 and to mimic previous experimental studies, we substituted Arg104 in each subunit in turn with Ala, Glu, and Lys in the homology model, and performed a new set of classical molecular dynamics simulations of the whole GABAC receptor extracellular domain in aqueous solution. The computational details, including the minimization and equilibration procedures and initial position of the ligand, were the same as for the wild-type receptor.
The substitution of the positively charged Arg with the neutral Ala produced a receptor with a total charge of −5e; hence, we added five positively charged (Na+) counterions to neutralize the system. However, GABA was not stable in the binding pocket, and indeed, it completely exited the protein 4.6 ns into the equilibration. During the first ∼3 ns of the equilibration, the GABA carboxylate group bound to Arg158, confirming that this group preferred to bind to a positively charged residue. However, these hydrogen bonds were not as stable or as frequent as those previously formed by GABA and Arg104, and indicate that Arg158 is a less favorable binding partner than Arg104. The carboxylate group also formed infrequent bonds with Thr201 and Ser242. The GABA amine group formed a cation-π interaction with Tyr198 and also a hydrogen bond with the carboxylic oxygen of Tyr198. There were also infrequent hydrogen bonds with Met156, Tyr200, and Ser197. After 3 ns of equilibration GABA oscillated inside the binding site for ∼1 ns with very infrequent interactions and then left the binding site and the whole ECD. In the 4.6-ns equilibration MD simulation before GABA exited, the GABA carboxylate group formed, on average, 0.61 hydrogen bonds with Arg158, 0.12 with Thr201, and 0.06 with Ser242; the GABA amine formed 0.33 hydrogen bonds with Tyr198, 0.09 with Met156, 0.12 with Tyr200, and 0.11 with Ser197. Ala104 formed, on average, 1.36 hydrogen bonds with Asp81, of which 0.37 were as acceptor and 0.99 as donor.
The experimental data revealed a very large increase (∼10,000-fold) in EC50 when Arg104 was substituted with Ala (6). These data are consistent with our simulation, which indicates that the stability of GABA inside the ECD dramatically decreased when Arg104 is replaced with Ala; indeed the decrease was so dramatic that GABA rapidly exited the binding site.
We then substituted the five subunits of the homology model with Glu at position 104. Glu has a negative charge of –e, hence the total charge of the system was −10e, and we added 10 counterions (Na+) to neutralize the total charge. During the production run, GABA underwent large displacements and rotations, as seen in Fig. 7, which shows the distance between the positions of the GABA center of mass at the beginning and at a generic time of the production run (top), and the modulus of the angle between the lines passing through the center of mass and the amine nitrogen at the beginning and at a generic time of the production run (bottom).
In this simulation, the GABA carboxylate group found a new binding partner: Arg249. Hydrogen bonds between the GABA carboxylate group and Arg249 (0.91 in the production run) were present intermittently for much of the simulation; however, these bonds were considerably less frequent than those with Arg104 in the wild-type receptor. The carboxylate group also formed, on average, 0.31 hydrogen bonds with Tyr241, and the amine group formed infrequent hydrogen bonds with Tyr102 (0.15 on average) and Asp219 (0.16). In summary, an average of 1.47 hydrogen bonds were formed. There were no cation-π interactions. Details of the time occurrences of these bonds can be seen in Fig. 8. Glu104 also formed, on average, 3.17 hydrogen bonds with Asp81 (0.96 as acceptor and 1.00 as donor), with Lys211 (1.13 as acceptor) and with Ser168 (0.08 as acceptor).
The experimental data revealed another large increase (∼40,000-fold) in EC50 when Arg104 was substituted with Glu (6). Again the simulation indicates that the stability of GABA inside the ECD dramatically decreased when Arg104 was replaced with Glu; GABA formed, on average, significantly fewer bonds with the surrounding residues (1.47 hydrogen bonds and no cation-π interactions) than in the wild-type receptor. Interestingly, as in the previous simulation, GABA appeared to prefer to interact with another Arg, but in this case it was Arg249, perhaps because this was more distant from the unfavorable negatively charged Glu.
Finally, we substituted Arg104 with Lys, which has the same positive charge; hence the total charge of the protein was neutral and we did not add any counterions. The distance between the position of the GABA center of mass at the beginning and at a generic time of the production run, and the modulus of the angle between the lines passing through the center of mass and the amine nitrogen at the beginning and at a generic time of the production run are shown in Fig. 9. GABA underwent relatively small rotations and overall remained reasonably close to its initial position. Unexpectedly, it only formed very infrequent (0.07) hydrogen bonds with Lys104. It also formed 1.17 hydrogen bonds with Ser243, 0.52 with Ser168, 0.07 with Thr244, and 0.07 with Ser242. The amine group formed, on average, 0.30 and 0.22 hydrogen bonds with Tyr198 and Thr244, and 0.32, 0.52, and 0.20 cation-π interactions with Tyr198, Tyr241, and Tyr247, respectively. Details of the time occurrences of these bonds can be seen in Fig. 10. The average number of hydrogen bonds (2.42) is significantly smaller than for the wild-type receptor, while the number of cation-π interactions (1.14) is larger. Lys104 formed, on average, 2.13 hydrogen bonds with other residues of the GABAC receptor, of which 1.34 are with Asp81 (0.94 as acceptor and 0.40 as donor) and 0.79 are with Gln83 (as donor).
The experimental data showed that the receptor was insensitive to GABA up to a concentration of 30,000 μM when Arg104 was substituted with Lys. Our simulations suggest that the decrease in the number of hydrogen bonds and/or the lack of interaction with Lys104 renders GABA incapable of interacting sufficiently in the binding pocket to open the channel.
In conclusion, the data from the simulations strongly support the experimental data in suggesting a critical role for Arg104. The simulation with the wild-type receptor revealed hydrogen bonds between this residue and GABA for much of the simulation, but GABA formed extremely infrequent (<1%) bonds when this residue was mutated to Lys and no bonds at all when it was mutated to Ala or Glu.
Acknowledgments
C. Melis and C. Molteni thank the Engineering and Physical Sciences Research Council Life Science Interface Program for financial support (grant No. EP/E014505/1). S. C. R. Lummis is a Wellcome Trust Senior Research Fellow in Basic Biomedical Science.
Editor: David S. Weiss.
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