| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||

* Department of Molecular Membrane Biology, Max Planck Institute of Biophysics, D-60438 Frankfurt am Main, Germany; and
Department of Biological Chemistry, Alexander Silberman Institute of Life Sciences, Hebrew University of Jerusalem, Jerusalem 91904, Israel
Correspondence: Address reprint requests to Elena Olkhova, Max Planck Institute of Biophysics, Max-von-Laue Str., 3, D-60438 Frankfurt am Main, Germany. Tel.: 49-69-6303-1056; Fax: 49-69-6303-1002; E-mail: Elena.Olkhova{at}mpibp-frankfurt.mpg.de.
| ABSTRACT |
|---|
|
|
|---|
| INTRODUCTION |
|---|
|
|
|---|
The crystal structure of NhaA, in the down-regulated conformation found at pH 4, has recently been determined at 3.45 Å resolution (6
) (Fig. 1). NhaA contains 12 transmembrane segments (TMSs). Two negatively charged funnels (cytoplasmic and periplasmic) point to each other but are separated by a group of densely packed hydrophobic residues creating a barrier between the funnels. The cytoplasmic funnel formed of TMSs II, IX, IVc (p and c stand for the periplasmic and cytoplasmic parts of the respective helices), and V opens to the cytoplasm and ends in the middle of the membrane at the putative ion binding site (Fig. 1). The periplasmic funnel formed by TMSs II, VIII, and XIp opens toward the periplasm. The TMS IV and TMS XI are interrupted by extended chains that cross each other. This TMSs IV/XI assembly creates a delicately balanced electrostatic environment in the middle of the membrane. The "pH sensor" appears to be located at the cytoplasmic funnel entry and to transduce the pH signal (at alkaline pH) to the TMSs IV/XI assembly to activate the antiporter (6
).
|
Hence, a clearer understanding of the structural reorganization of NhaA requires elucidation of the dynamic conformational changes occurring in response to pH shifts. Molecular dynamics (MD) simulation provides a powerful tool for computational investigations of protein conformational changes and the possibility of examining the initial events leading to the activation of the antiporter.
Here, we study the dynamic behavior of the hydrogen-bonded network in NhaA at acidic and alkaline pH. We generate and analyze data from two 4-ns-long MD simulations of the wild-type NhaA Na+/H+ antiporter and the G338S variant, a constitutively active variant lacking the pH regulation, embedded in an explicit lipid bilayer. The work focuses mainly on determining the effect of pH on the structural reorganization of the NhaA antiporter.
| THEORY AND METHODS |
|---|
|
|
|---|
Initial setup of the simulated systems
Parallel simulations with different protonation states of NhaA antiporter at pH 4 (PH4 set of coordinates) and at pH 8 (PH8 set of coordinates), 4.0 ns each in length, were carried out under conditions of constant temperature and pressure using three-dimensional periodic boundary conditions (PBC) and full electrostatics. A proper membrane environment for NhaA was provided by constructing a dimyristoylphosphatidylcholine (DMPC) lipid bilayer. We used the general protocol for MD simulations (18
,19
) to construct the initial configuration of a protein-membrane-water system. The microscopic system consists of NhaA Na+/H+ antiporter (384 residues), 200 DMPC lipids (98 in the top and 102 in the bottom layer), and bulk water molecules (9
,214 molcules for the PH4 set of coordinates and 9,233 molcules for the PH8 set of coordinates). Additionally, 54 internal water molecules positioned using the GRID method (10
) were included in the calculations at low and high pH. Na+ and Cl ions were inserted to simulate a 150 mM aqueous salt solution (263 Na+ and 286 Cl ions for the PH4 set and 263 Na+ and 268 Cl ions for the PH8 set). After solvation the entire systems consisted of 57,670 atoms (PH4 set of coordinates) and 57,660 atoms (PH8 set of coordinates), respectively. The Gly338Ser (G338S) mutation was made to the embedded structure at pH 8 by replacing the residue Gly338 by Ser using the molecular modeling software InsightII (LC) (Accelrys, San Diego, CA). The total simulation system consisted of 57,664 atoms (PH8-G338S set of coordinates). Periodic boundary conditions were applied in the xy directions to simulate an infinite planar layer and in the z direction to simulate a bilayer system; the periodic system has the dimensions 90 x 90 x 100 Å3.
Equilibration and dynamics
The minimization and dynamics simulations were performed using the academic version c28b2 of the biomolecular simulation package CHARMM (15
). Equilibraion and dynamics procedures were adopted from Berneche and colleagues (18
,19
).
The simulations were performed under three-dimensional PBC. The total length of the equilibration procedure was 670 ps for both PH4 and PH8 systems. The systems were first coupled to a heat bath at 330 K by the use of Langevin dynamics at constant volume; the time steps were 2 fs. The last 270 ps of the equilibration and the production was at constant pressure of 1.0 atm and a temperature of 330 K (19
). In the first part of the equilibration, harmonic restraints (applied to the center of mass of the polar head groups, the protein backbone, and the ions) were gradually decreased to allow a smooth relaxation of the system (20
). The coordinates were saved every 10 ps, and the nonbonded and image lists were updated every 20 steps. The list of nonbonded interactions was truncated at 12 Å, using an atom-based cutoff. The nonbonded van der Waals interaction was switched off at 1012 Å. The electrostatic interactions were computed without truncation, using the particle mesh Ewald (PME) algorithm (21
) with an order of 4, and FFT grid points for the charge mesh per angstrom were 90 x 90 x 100. In the PME method implemented in CHARMM, the electrostatic energy was split into a direct and a reciprocal Ewald sum. A real-space Gaussian-width
of 0.3 Å1 was used. All bonds involving hydrogen atoms were constrained by applying the SHAKE algorithm (22
). The all-atom potential energy functions PARAM-22 for protein (16
,17
) and phospholipids (23
) were used. The TIP3P potential was used for the water molecules (24
). During the production trajectory the center of mass of the protein was restrained to the center of the xy plane. The overall simulation time was 4.0 ns for both PH4 and PH8 systems.
To evaluate the distortion of TM helix X, we applied a computational algorithm ProKink (25
). This method can describe the three-dimensional geometry of the distortion in a helix; the structural features of a hinge in the helix can be characterized by the bend and wobble angles, which can be defined in terms of a prehinge helix and a posthinge helix similarly to the characterization of proline kinks. The bend angle is the angle between the two parts of the helix when it is bent along its axis. It ranges from 0° to 180°; the closer its value to 0°, the smaller is the bend in the helix. The wobble angle is the angle that defines the orientation of the posthinge helix in respect to the prehinge helix. It ranges from 180° to 180°. The wobble angle is close to 0° when the axis of the posthinge helix is bent so that its axis is moved toward the C
atom of the hinge residue, and it is close to ±180° when it is moved away from the hinge. The wobble angle is negative when the posthinge helix axis has a negative z value, and it is positive for positive values of z.
Hydrogen bonds
The hydrogen bond patterns were analyzed from the production trajectories with 0.2-ps time resolution. The criteria for a hydrogen bond (A...HD) were that the distance between the acceptor and the hydrogen atom (A...H) was less than 2.5 Å and that the A...HD angle was more than 120° (26
). The percentage of occupancy of a hydrogen bond was defined as the number of frames with the hydrogen bond present divided by the total number of frames used for analysis. The average lifetime of a hydrogen bond during the simulation was then calculated as the average of all of its occurrences excluding those with a lifetime shorter than 1 ps. We consider here only hydrogen bonds with occupancies of more than 10%.
Root mean-square deviations and atomic fluctuations
The coordinate sets from every 0.2 ps of the production run were superimposed on the initial structure of the system by minimizing the mass-weighted root mean-square deviations (RMSD) of the heavy atoms from the initial structure. The average RMSD values of the C
atoms, side chains, and some amino acids were then calculated for the entire MD trajectory. B-factors (Debye-Waller factor) from the x-ray structure of NhaA were compared with the atomic fluctuations (RMSF) in the simulations.
Computational details
Energy minimization, membrane modeling, and MD simulations were performed in parallel with 16 processors, using version c28b2 of the biomolecular simulation program CHARMM (15
) on an IBM RS/6000 PS5 Regatta supercomputer at the Max Planck Society Rechenzentrum in Garching. All molecular structures were drawn using the Visual Molecular Dynamic Software VMD 1.8 (27
).
| RESULTS AND DISCUSSION |
|---|
|
|
|---|
2.5 Å, regardless of the protonation states of titratable residues in NhaA (e.g., similar at pH 4 and at pH 8). At the end of the MD production, the RMSDs for simulations at pH 8 are substantially higher than those for the simulations at pH 4. This result means that the structure is much better preserved in the simulation at low pH. Interestingly, if only the
-helical regions are considered, the RMSD value for the simulation set at pH 4 is only 1.7 Å, and for the simulation set at pH 8 is only 1.4 Å after 2.0 ns of dynamics production (Fig. 2 B). However, the
-helical RMSDs after 2.5 ns are
1.7 Å for both pH values. This result indicates that at pH 8 the greater structural drift in the simulated system is largely a result of conformational changes occurring in the loop regions.
|
atom from its time-averaged coordinates (Fig. 3). The overall RMSF for each simulation shows higher RMSFs for the loops and lower RMSFs for the cores of the helices. Helices I, II, IVc, V, VI, VII, VIII, XI, and XII were stable over the simulations at pH 4 and at pH 8 (Fig. 3).
|
|
45° regardless of the pH value. At the end of simulations, helix X displays a larger bend angle of
58° at pH 8 compared with pH 4 in which the bend angle was
23°. Additionally, the orientation of the posthinge helix differs in the simulations at low and high pH. The wobble angle in the end of simulation at low pH was
130°, whereas in the simulation at high pH, it was 50°. Any observed discrepancy may be caused by a different protonation state of Lys300 at high pH. Conformational reorganization of helix X at pH 8 results in a close proximity of helix X, helix XII, and helix IVp. The reference distance between the C
atoms of Gly368 in helix XII and of Lys300 in helix X is only 5.7 Å, whereas for the simulations at pH 4, it is 7.2 Å. The distance between the C
atoms of Asp133 (in the extended chain between helix IVp and helix IVc) and of Lys300 in helix X also becomes smaller, from 12.6 Å at low pH to 12.0 Å at high pH. Thus, helix X does not behave as a rigid
-helix on activation of the antiporter at alkaline pH, but as two rigid
-helical segments connected by a central hinge, the movement of which is pH dependent.
Water as a structural element
Under physiological conditions, the NhaA Na+/H+ antiporter catalyzes the import of two protons from the periplasm into the cytoplasm and the export of one sodium ion per cycle. This process contributes to the maintenance of a rather constant intracellular pH in Escherichia coli of
7.6 at more alkaline extracellular pH values, and to the excretion of surplus sodium ions, which are toxic to the cell (reviewed by Padan et al. (3
,5
)). This fact implies that protons must have access to the sodium-binding site, most likely via water molecules located in the cytoplasmic and periplasmic funnels. We have therefore calculated the variation of the number of water molecules present in the cytoplasmic and periplasmic funnels and the variation in the number of hydrogen bonds formed between these water molecules and the protein residues at pH 4 and pH 8.
For these calculations, we considered at the z axis of the molecule the following residues: Glu252 located in the entrance of the cytoplasmic funnel, Asp133 and Asp163 located at the end of this funnel at the putative sodium binding site in the middle of the membrane, Asp65 located at the rim of the periplasmic funnel, and Lys57 located in its entrance. We have characterized the hydrogen-bonded interactions between the protein residues and water molecules based on the definition of the hydrogen bond as a geometrical construct from the MD trajectories during the simulations at pH 4 and at pH 8 (Fig. 5). It is obvious that the overall hydrogen-bonded network in the antiporter is quite different at low and high pH. At pH 4 the hydrophobic barrier in the middle of the membrane is clearly seen. The two negatively charged funnels are separated by a hydrophobic barrier of
12 Å, as measured between two water oxygen atoms in the hydration shell of Asp163 and Lys300 in the acidic pH down-regulated antiporter (Fig. 5). No water molecules were found to cross this barrier from trajectory analyses of simulations at low pH. Remarkably, at pH 8, the hydrophobic barrier is removed, and two funnels are bridged by hydrogen bonds between water molecules and residues Asp133, Asp163, Tyr261, and Cys335. This means that water molecules diffuse into the barrier. For example, residue Asp133 forms a stable hydrogen bond with a water molecule WG9 (modeled GRID water) with a high occupancy (66%), and the distance between Asp133 and Asp65 narrows down to only
7 Å (Fig. 5 B) as a result of reorientation of the site chain of Asp65 in the simulation at high pH. This structural relocation of the charged residue Asp65 into the nonpolar hydrophobic barrier in the simulations under alkaline conditions is associated with penetration of water into the hydrophobic region and, hence, increases the local polarizability of the antiporter. This observation means that the internal electrostatics of the antiporter strongly influences the penetration of water molecules into the interior of NhaA.
|
Simulations of a NhaA variant G338S that is pH independent
It is known from experimental studies that mutations of conserved residues in helix XI of NhaA affect the pH response (5
). Extensive cross-linking data are in accordance with the close proximity between the TMSs of the IV/XI assembly and their crucial role for activity and pH regulation (32
,33
). A most informative example is the mutation G338S (34
) in the TMS XI (Fig. 6 B), which completely removes the pH control and produces a NhaA variant fully active in a pH-independent manner. Because our biochemical data were obtained at the physiological pH range (pH 78.5), we produced MD trajectories for the variant at pH 8 and compared the results with the wild-type trajectories at pH 4 and pH 8. The variant simulation at pH 8 as compared with the simulation of the wild type at pH 4 shows that helix XIp remains in the same position as observed for the wild-type antiporter, whereas helix XIc moves toward helix X (Fig. 6 A). Strikingly, compared with the wild-type simulation at pH 8, the mutation G338S directly stabilizes a nonkink conformation of helix X, in contrast to the kinked helix X in the wild-type simulation at alkaline pH (Fig. 6 A).
|
Limitations of the current approach
It is necessary to mention several limitations of the simulation approach used in this study. The main limitation is that the structure of the antiporter exists only in the closed conformation. Second, there is no sodium ion in the sodium binding site. Third, a time scale of
4 ns simulates only the initial steps of activation of the NhaA antiporter. However, we think that our simulations identify flexible structural elements that appear to be involved in the initial steps of the pH-induced activation process of NhaA and provide hints to further experiments.
| CONCLUSIONS |
|---|
|
|
|---|
-helical regions preserve the general architecture of NhaA throughout the pH change. In contrast, large conformational drifts occur in the loop regions at pH 8. The time-dependent fluctuations imply an increased flexibility of helix IVp on shifting the pH from 4 to 8.
A comparison of the MD simulations of helix X at pH 4 and pH 8 reveals a remarkable pH-induced conformational reorganization; in line with the x-ray crystallographic data and the simulations at acidic pH, helix X is slightly curved at acidic pH. However, at alkaline pH, helix X acquires a kinked conformation around residue Lys300.
Constructing and analyzing the dynamic hydrogen-bonded network reveal, in line with the structural data, a hydrophobic barrier between the cytoplasmic and periplasmic funnels of NhaA at acidic pH. The simulation at pH 8 shows that this barrier is removed, and two funnels are bridged by hydrogen bonds between water molecules and residues located in the TMSs IV/XI assembly and helix X. For example, penetration of water molecules and structural reorganizations significantly alter the distance between Lys300 and the Na+ binding site at alkaline pH.
MD simulations of the variant G338S at alkaline pH explain its loss of pH control; the formation of a hydrogen-bonded chain between residues Ser338 and Lys300 does not allow helix X to move freely and to acquire the kinked configuration that is needed for pH regulation.
| ACKNOWLEDGEMENTS |
|---|
|
|
|---|
This work was supported by the Deutsche Forschungsgemeinschaft (SFB 472), the Fonds der Chemischen Industrie, the Max-Planck-Gesellschaft, the German Israeli Foundation for Scientific Research and Development (to H.M. and E.P.), and the Israeli Science Foundation (E.P.).
Submitted on September 26, 2006; accepted for publication January 17, 2007.
| REFERENCES |
|---|
|
|
|---|
2. Padan, E., M. Venturi, Y. Gerchman, and N. Dover. 2001. Na(+)/H(+) antiporters. Biochim. Biophys. Acta. 1505:144157.[Medline]
3. Padan, E., E. Bibi, M. Ito, and T. A. Krulwich. 2005. Alkaline pH homeostasis in bacteria: new insights. Biochim. Biophys. Acta. 1717:6788.[Medline]
4. Taglicht, D., E. Padan, and S. Schuldiner. 1993. Proton-sodium stoichiometry of NhaA, an electrogenic antiporter from Escherichia coli. J. Biol. Chem. 268:53825387.
5. Padan, E., T. Tzubery, K. Herz, L. Kozachkov, A. Rimon, and L. Galili. 2004. NhaA of Escherichia coli, as a model of a pH-regulated Na+/H+ antiporter. Biochim. Biophys. Acta. 1658:213.[Medline]
6. Hunte, C., E. Screpanti, M. Venturi, A. Rimon, E. Padan, and H. Michel. 2005. Structure of a Na+/H+ antiporter and insights into mechanism of action and regulation by pH. Nature. 435:11971202.[CrossRef][Medline]
7. Putney, L. K., S. P. Denker, and D. L. Barber. 2002. The changing face of the Na+/H+ exchanger, NHE1: structure, regulation, and cellular actions. Annu. Rev. Pharmacol. Toxicol. 42:527552.[CrossRef][Medline]
8. Wakabayashi, S., T. Pang, T. Hisamitsu, and M. Shigekawa. 2003. Two functional regulatory factors of the Na+/H+ exchangers. In The sodium-hydrogen exchanger: from molecule to its role in disease. M. Karmazyn, M Avkiran, L. Fliegel, editors. Kluwer Academic Publishers, Boston, MA. 3549.
9. Goodford, P. J. 1985. A computational procedure for determining energetically favorable binding sites on biologically important macromolecules. J. Med. Chem. 28:849857.[CrossRef][Medline]
10. Olkhova, E., C. Hunte, E. Screpanti, E. Padan, and H. Michel. 2006. Multiconformation continuum electrostatics analysis of the NhaA Na+/H+ antiporter of Escherichia coli with functional implications. Proc. Natl. Acad. Sci. USA. 103:26292634.
11. Gunner, M. R., and E. Alexov. 2000. A pragmatic approach to structure based calculation of coupled proton and electron transfer in proteins. Biochim. Biophys. Acta. 1458:6387.[Medline]
12. Venturi, M., A. Rimon, Y. Gerchman, C. Hunte, E. Padan, and H. Michel. 2000. The monoclonal antibody 1F6 identifies a pH-dependent conformational change in the hydrophilic NH(2) terminus of NhaA Na(+)/H(+) antiporter of Escherichia coli. J. Biol. Chem. 275:47344742.
13. Gerchman, Y., A. Rimon, and E. Padan. 1999. A pH-dependent conformational change of NhaA Na(+)/H(+) antiporter of Escherichia coli involves loop VIIIIX, plays a role in the pH response of the protein, and is maintained by the pure protein in dodecyl maltoside. J. Biol. Chem. 274:2461724624.
14. Tzubery, T., A. Rimon, and E. Padan. 2004. Mutation E252C increases drastically the Km value for Na+ and causes an alkaline shift of the pH dependence of NhaA Na+/H+ antiporter of Escherichia coli. J. Biol. Chem. 279:32653272.
15. Brooks, B. R., R. E. Bruccoleri, B. D. Olafson, D. J. States, S. Swaminathan, and M. Karplus. 1983. CHARMM: a program for macromolecular energy minimization and dynamics calculations. J. Comput. Chem. 4:187217.[CrossRef]
16. MacKerell, A., Jr., J. Wiorkiewicz-Kuczera, and M. Karplus. 1995. An all-atom empirical energy function for the simulation of nucleic acids. J. Am. Chem. Soc. 117:1194611975.[CrossRef]
17. MacKerell, A. D., Jr., D. Bashford, M. Bellot, R. L. Dunbrack, J. D. Evanseck, M. J. Field, S. Fischer, J. Gao, H. Guo, D. Joseph-McCarthy, S. Ha, L. Kuchnir, K. Kuczera, F. T. K. Lau, C. Mattos, S. Michnick, T. Ngo, D. T. Nguyen, B. Prodhom, W. E. Reiher, B. Roux, M. Schlenkrich, J. Smith, R. Stote, J. Straub, M. Watanabe, J. Wiorkiewicz-Kuczera, and M. Karplus. 1998. All-atom empirical potential for molecular modeling and dynamics studies of proteins. J. Phys. Chem. B. 102:35863616.
18. Berneche, S., M. Nina, and B. Roux. 1998. Molecular dynamics simulation of melittin in a dimyristoylphosphatidylcholine bilayer membrane. Biophys. J. 75:16031618.
19. Woolf, T. B., and B. Roux. 1996. Structure, energetics, and dynamics of lipid-protein interactions: A molecular dynamics study of the gramicidin A channel in a DMPC bilayer. Proteins. 24:92114.[CrossRef][Medline]
20. Berneche, S., and B. Roux. 2000. Molecular dynamics of the KcsA K(+) channel in a bilayer membrane. Biophys. J. 78:29002917.
21. Essmann, U., L. Perera, M. L. Berkowitz, T. Darden, H. Lee, and L. G. Pedersen. 1995. A smooth particle mesh Ewald method. J. Chem. Phys. 103:85778593.[CrossRef]
22. Ryckaert, J. P., G. Ciccotti, and H. J. C. Berendsen. 1977. Numerical integration of the Cartesian equation of motions of a system with constraints: molecular dynamics of n-alkanes. J. Comp. Chem. 23:327341.
23. Schlenkrich, M. J., J. Brickmann, Jr., A. D. MacKerell, and M. Karplus. 1996. An empirical potential energy function for phospholipids: criteria for parameter optimization and applications. In Biological Membranes. A Molecular Perspective from Computation and Experiment. K. M. Merz, and B. Roux, editors. Birkhäuser, Boston. 3181.
24. Jorgensen, W. L., J. Chandrasekhar, J. D. Madura, R. W. Impey, and M. L. Klein. 1983. Comparison of simple potential functions for simulating liquid water. J. Chem. Phys. 79:926935.[CrossRef]
25. Visiers, I., B. B. Braunheim, and H. Weinstein. 2000. ProKink: a protocol for numerical evaluation of helix distortions by praline. Protein Eng. 13:603606.
26. Tang, Y., and L. Nilsson. 1999. Molecular dynamics simulations of the complex between human U1A protein and hairpin II of U1 small nuclear RNA and of free RNA in solution. Biophys. J. 77:12841305.
27. Humphrey, W., A. Dalke, and K. Schulten. 1996. VMD: visual molecular dynamics. J. Mol. Graph. 14:2728, 3338.[CrossRef][Medline]
28. Luecke, H. 2000. Atomic resolution structures of bacteriorhodopsin photocycle intermediates: the role of discrete water molecules in the function of this light-driven ion pump. Biochim. Biophys. Acta. 1460:133156.[Medline]
29. Brandl, C. J., and C. M. Deber. 1986. Hypothesis about the function of membrane-buried proline residues in transport proteins. Proc. Natl. Acad. Sci. USA. 83:917921.
30. Sansom, M. S., and H. Weinstein. 2000. Hinges, swivels and switches: the role of prolines in signalling via transmembrane alpha-helices. Trends Pharmacol. Sci. 21:445451.[CrossRef][Medline]
31. Ulmschneider, M. B., D. P. Tieleman, and M. S. Sansom. 2005. The role of extra-membranous inter-helical loops in helix-helix interactions. Protein Eng. Des. Sel. 18:563570.
32. Galili, L., A. Rothman, L. Kozachkov, A. Rimon, and E. Padan. 2002. Trans membrane domain IV is involved in ion transport activity and pH regulation of the NhaA-Na(+)/H(+) antiporter of Escherichia coli. Biochemistry. 41:609617.[CrossRef][Medline]
33. Galili, L., K. Herz, O. Dym, and E. Padan. 2004. Unraveling functional and structural interactions between transmembrane domains IV and XI of NhaA Na+/H+ antiporter of Escherichia coli. J. Biol. Chem. 279:2310423113.
34. Rimon, A., Y. Gerchman, Z. Kariv, and E. Padan. 1998. A point mutation (G338S) and its suppressor mutations affect both the pH response of the NhaA-Na+/H+ antiporter as well as the growth phenotype of Escherichia coli. J. Biol. Chem. 273:2647026476.
This article has been cited by other articles:
![]() |
T. Tzubery, A. Rimon, and E. Padan Structure-based Functional Study Reveals Multiple Roles of Transmembrane Segment IX and Loop VIII-IX in NhaA Na+/H+ Antiporter of Escherichia coli at Physiological pH J. Biol. Chem., June 6, 2008; 283(23): 15975 - 15987. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |