Short tandem repeats in the inhibitory domain of the mineralocorticoid receptor: prediction of a β-solenoid structure
© Vlassi et al.; licensee BioMed Central Ltd. 2013
Received: 31 January 2013
Accepted: 25 September 2013
Published: 2 October 2013
The human mineralocorticoid receptor (MR) is one of the main components of the renin-angiotensin-aldosterone system (RAAS), the system that regulates the body exchange of water and sodium. The evolutionary origins of this protein predate those of renin and the RAAS; accordingly it has other roles, which are being characterized. The MR has two trans-activating ligand independent domains and one inhibitory domain (ID), which modulates the activity of the former. The structure of the ID is currently unknown.
Here we report that the ID contains at least 15 tandem repeats of around 10 amino acids, which we computationally characterize in the human MR and in selected orthologs. This ensemble of repeats seems to have emerged around 450 million years ago, after the divergence of the MR from its close homolog, the glucocorticoid receptor, which does not possess the repeats. The region would have quickly expanded by successive duplication of the repeats stabilizing at its length in human MR shortly after divergence of tetrapoda from bony fishes 400 million years ago. Structural predictions, in combination with molecular dynamics simulations suggest that the repeat ensemble forms a β-solenoid, namely a β-helical fold with a polar core, stabilized by hydrogen-bonded ladders of polar residues. Our 3D-model, in conjunction with previous experimental data, implies a role of the β-helical fold as a scaffold for multiple intra-and inter-molecular interactions and that these interactions are modulated via phosphorylation-dependent conformational changes.
We, thus, propose that the structure of the repeat ensemble plays an important role in the coordination and sequential interactions of various MR partners and therefore in the functionality and specificity of MR.
The mineralocorticoid receptor (MR) belongs to the steroid hormone receptor (SHR) subfamily of nuclear receptors. It plays a major role in the regulation of sodium and water homeostasis in epithelial cells of the colon and distal nephron of the kidney as part of the renin-angiotensin-aldosterone system (RAAS). The MR derived from a common ancestor with the glucocorticoid receptor (GR) through duplication at least 450 million years ago , predating the emergence of the RAAS and suggesting that the MR has other more ancestral functions . Accordingly, in recent years, additional functions of the MR in cardiovascular regulation, neuronal fate and adipocyte differentiation have been discovered (see e.g.  and references therein).
The NTD contains two trans-activating ligand independent domains AF1a (1-167 aa) and AF1b (446-602 aa), and one inhibitory domain (ID: 168-445 aa) . The MR recruits through its functional domains (AFs or ID) distinct co-activator or co-repressor complexes to ensure, at the post-receptor level, transcriptional selectivity. The ID is sufficient to limit the activity of the NTD when fused to either of the trans-activating domains .
Whereas the structures of LBD and DBD are already known, the folding of the NTD remains to be defined. The NTD is of particular interest because it is specific in sequence to the MR and therefore possibly explains the particular functional variability that distinguishes the MR from other steroid binding receptors. To complete the structural picture of the MR we carried out a sequence similarity analysis of the NTD. A sequence similarity search of the sequence of the human MR against the protein sequence database suggested the existence of tandem repetitive sequences evidenced by multiple partial sequence matches between the repeats in orthologs of the MR across several species.
Tandem repeats form structural ensembles with peculiar characteristics. Their characterization allows the prediction of secondary and tertiary structure and may be useful to suggest particular functions to specific protein regions . To facilitate the study of the structure and function of the NTD of the MR, here we present computational analyses of tandem repeats in the NTD, to describe their evolution and predict their structure. Our results suggest that these repeats fold together to form a β-solenoid domain involved in intra-and inter-molecular interactions.
Definition of the repeat ensemble
Sequence similarity search of the sequence of the human MR against the protein sequence database (using BLAST ; see Methods for details) indicated multiple matches of similarity between fragments of the human MR and its orthologs in several species evidencing a repetitive pattern within a region of the protein of about 200 amino acids. We followed up this discovery with an iterative procedure where we first aligned a selection of orthologs of the human MR, examined visually patterns of conservation in the corresponding region, and generated increasingly complex regular expressions that were used to search the aligned sequences (using Jalview ; see Methods for details) attempting to capture this pattern while minimizing matches outside the repeat region. The multiple sequence alignment was manually modified in some positions to align equivalent matches to the regular expression. Homology of this region was restricted to actinoperygii species (including both bony fishes and tetrapoda), which suggests that the NTD emerged with the MR, and signifies the importance of the NTD as characteristic of the functionality of the MR.
We did not observe this tandem repeat in the closest human paralog, the glucocorticoid receptor (GR), or in less related human receptors (Androgen receptor, AR; Progesterone receptor, PR), all of which share significant similarity to the DBD and LBD domains of the MR, which indicates their common evolutionary origin.
The specific presence of the tandem repeats in the MR indicates that their function is specific to this receptor. The increase in the number of repeats between bony fish and tetrapoda suggests that there was evolutionary pressure to increase the length of the ensemble of repeats once they were incorporated in an ancestral version of the MR. This probably occurred in a short (in geological terms) time period, that is, between the divergence of the MR from the GR around 450 million years ago and the divergence of tetrapoda from bony fishes around 400 million years ago. Such variability in an overall large number of elements of an ensemble of tandem repeats suggests that they assemble in an elongated domain as opposed to repeats forming closed structures such as WD40 or Kelch, which tend to appear in multiples of six or seven units .
In order to search for instances of these repeats in families distant to the MR, we built a Hidden Markov Model (HMM) of an alignment of the repeats, which was used to search the protein database (using the HHMER web server ; see Methods for details). We did not find significant new hits, which supports that these repeats are unique to the MR.
Finding the appropriate frame can be a problem when dealing with tandem repeats. The production of the regular expression was incremental, starting from the conserved Ser-Pro motif, and therefore we could have misidentified the boundaries of the repeat unit; these can be deduced from sequence analysis of the pattern of insertions (which will tend to occur in the linker between repeats), or if a well defined repeat is either followed or preceded by a region clearly not being a repeat.
As a means to complement our analysis we took advantage of several computational methods that are available as web tools for the detection of repeats in protein sequences. An overview of the results obtained with the application of these methods to the human MR is indicated in Additional file 1: Table S1. The Ser-Pro motif was readily detected by some of the tools, which reproduced the frame that we deduced.
Secondary structure prediction
After defining the sequence of the repeat, we tried to predict its structure. Initially, we approached the prediction of the secondary structure of the repeat region using Jpred3 , a tool that, like most secondary structure predictors, takes advantage of the conservation patterns in a multiple sequence alignment (MSA) to aid its predictions. Intriguingly, neither a default analysis of the region nor analyses on manually curated alignments of either one or two consecutive repeats resulted in any predicted secondary structure. This result might be not surprising considering that secondary structure predictors such as Jpred3 are trained and specialized in globular proteins and might not work for isolated short sequences and regions of compositional bias.
Next, we tried a computational tool that predicts contact-dependent secondary structure propensity (CSSP), based on the observation that the conformational preferences of a short sequence are influenced by the context of a native protein scaffold (See  and references therein). This method has been successfully used to detect hidden β-propensities and offers the additional advantage of accurate structure prediction even for extremely short sequences. We hypothesized that such an approach could be applied to predict the conformational preferences of the short tandem MR repeats.
Evolution of the repeat ensemble
The similarity between D. rerio F9 and F1 (highlighted in red in Figure 2) is outstanding: these repeats have 6 out of 10 identical positions (GS--MSSP), the highest level of identity among non-equivalent repeats in the dataset. This reflects a possible event of repeat duplication unique to bony fishes, suggesting evolutionary pressure to increase the size of the ensemble both in the tetrapoda and in the bony fish lineages.
Our CSSP predictions, in conjunction with published CD data on the MD fragment of the MR repeats in buffer (see above) suggested a 3D-fold formed by repeated structural units comprising short β-strands connected by turns, which is reminiscent of β-solenoids . Adding to this observation, the short length of the MR repeats (10 residues) reinforces the idea of a β-solenoid fold. Namely, it has been shown that the solenoid folds are predominant in proteins with repeats of 5 to 40 residues, with β-solenoids corresponding to proteins with the shorter repeats, as they require fewer residues to complete one coil of the solenoid superhelical fold [15, 16].
Taken together, our observations, so far, support the idea of a regular parallel right-handed β-helical structure for the MR repeats.
3D-model of consecutive MR repeats
To further support the hypothesis that the MR repeats fold as a parallel β-helix we generated a detailed model of the 3D-structure of five consecutive MR repeats. First, three consecutive repeats of human MR (T11 to T13) were modeled as a three-coiled right-handed parallel β-helix, using the crystal structure of the T. molitor antifreeze protein (PDB code:1EZG, ) as template. The choice of this particular template was based on the following similarities with the MR repeats: (i) similar repeat length (12 aa), (ii) the template structure is a right-handed parallel β-helix containing single, short (~3 aa long) β-strands in each β-helical coil, as also predicted by CSSP for the MR repeat region (Figure 3), (iii) the extremely low content of hydrophobic residues (Figure 6) excludes the possibility of a strong hydrophobic core for the MR repeats, as is the case for the template  and (iv) the resemblance of the CD profile of the MD fragment of the MR repeats with that of the template (see above) suggests a similar, highly regular β-helical structure .
To test the stability of the produced β-helical model, we performed two types of independent molecular dynamics (MD) simulations. First, and in order to overcome kinetic trapping problems, one set of long enough (250 ns) replica-temperature exchange MD (REMD) simulations  was performed, at four temperatures (275, 303, 333 and 365 K) using implicit solvation. An additional, 50 ns long, classical MD simulation was carried out at a single temperature (300 K) with explicit treatment of water (TIP3P), to test the stability of the initial model in a more realistic environment. The dominant cluster of the last 50 ns of the REMD replica at 303 K (the closest to the physiological temperature) incorporated approximately 71% of the ensemble and corresponded to the initial β-helical fold (Figure 7B, in orange). The modeled β-helical structure remained also stable after the solvated 50 ns MD simulation (Figure 7B, in green), further supporting our β-helical model. Conservation of the β-helical fold and of the polar core was also observed in the dominant clusters of the REMD replicas at higher temperatures (data not shown), suggesting a high thermal stability of this particular β-helix. Indeed, burial of polar contacts has been shown to enhance the thermal stability of enzymes .
Next, two more coils, corresponding to two additional human MR repeats, were added to the initial structure to produce the 3D-model of five consecutive MR repeats (T9 to T13). The stability of this model was subsequently tested by a 20 ns classical MD simulation (at 300 K) with explicit treatment of water (TIP3P). The energy minimized model resulted from this MD simulation also showed preservation of the β-helical fold and of the polar core (Figures 7C, D). Monitoring of the secondary structure along the 20 ns MD trajectory (Additional file 1: Figure S2) demonstrated that the few secondary structure elements, namely the short β-sheet (in red) and the turn (in yellow) structures of the consensus SSV and SPxN motifs, remained rather stable during the entire MD simulation, with the exception of the N-terminal repeat (Additional file 1: Figure S2). This observation is in line with the notion that the repetitive units of solenoid proteins require one another to maintain structure . Additional, transient β-strands, packed as an extra β-sheet perpendicular to the initial one, were formed at the inter-repeat T9-T10, T10-T11 and to a lesser extent, T11-T12, regions (marked with arrows in Additional file 1: Figure S2 and Additional file 1: Figure S3). The coordinates of this model in PDB format are available as Additional file 2: Table S2.
In its turn, the stacking of the SPxN turns, through extensive hydrogen bonding along the β-helical axis, caused a remarkable stacking of the conserved prolines of this motif (Figure 8). Proline residues, although uncommon, have been also found in other β-helical proteins (pectin methyltransferase and the receptor for insulin-like growth factor, IGFR1) (See  and references therein). The proline stacking predicted here for the MR repeats and a similar stacking of Pro 46 and Pro 71 in IGF1R, demonstrate that proline residues can be accommodated in β-helices and “extend our idea of what can be efficiently stacked”, as also suggested by Jenkins et al. .
The packing of polar residues into the interior of the modeled β-helix forced the few conserved aliphatic residues, at repeat position 5 (Figure 6), to adopt a solvent-exposed orientation in our initial model (Figure 7A). During the course of the MD simulations, these residues stacked (Figures 7B and D) to form an external hydrophobic stripe (Figure 8), implying a role for this surface as an interacting platform and/or as a dimerization domain. Indeed, stacking of solvent-exposed hydrophobic residues has been observed in several β-solenoids and has been mainly linked to homo-oligomerization ( and references therein). The conservation of the hydrophobic character of this repeat position (position 5 in Figure 6), in conjunction with the observation that the folding of the MR-MD repeat fragment is stabilized in the presence of TFE , which mimics a partial hydrophobic environment, further support our model. Furthermore, some conserved cysteine residues occupy the adjacent semi-variant repeat position 6 (Figure 6), which according to our model is also solvent-exposed (Additional file 1: Figure S1B; Right) and may thus contribute to inter-molecular interactions or dimerization through the formation of inter-molecular Cys-Cys bonds. In addition, basic residues corresponding to MR repeat position 2 (Figure 6) also stacked during the course of the 20 ns MD simulation, forming an exposed basic surface (Figure 7D), which could also serve as a molecular recognition platform, reinforcing our idea of the MR repeat β-helical fold acting as a protein interaction and/or dimerization scaffold.
Taken together, our observations strongly support a β-helical structure for the repeat region of the MR inhibitory domain.
We have described a novel repeat specific to the MR, present in bony fishes and tetrapoda, which in the human MR conforms to an ensemble of at least 15 repeats extending for about 200 aa, forming most of the inhibitory domain (ID) of the MR. This repeat is defined by a 10 aa pattern with a conserved Ser-Pro motif at positions 7 and 8. The spacers between the repeats are often of 2 or 3 aa, indicating that it forms a very compact structure.
This domain of tandem repeats in the MR seems to have evolved by tandem repeat duplication in “just” over 50 million years to a number of units that became fixed for the following 400 million years (since the establishment of the tetrapoda lineage). We could detect only one other event of repeat duplication, which happened in bony fishes and evidenced an ancestral situation where there was evolutionary pressure to increase the size of the ensemble by repeat duplication. Tandem repeat structures can easily accommodate such duplications since the packing of consecutive units is not affected by the insertion of a new one, as far as the periodicity is maintained . The fact that in tetrapoda the number of units remained constant for 400 million years suggest that the length of the domain of repeats is of functional importance.
Based on several lines of evidence (periodicity, secondary structure prediction, solenoid-prediction, previously published CD data, etc.) and using comparative molecular modeling in combination with molecular dynamics simulations, we predicted here that consecutive MR repeats are compatible with a β-solenoid fold, namely a β-helical structure. Solenoid structures often serve protein-protein interactions  and appear to promote dimerization (or other homo-oligomerization) of multidomain proteins . Since the MR is also involved in many inter- and intra-molecular interactions , including homo-and hetero-dimerization , we hypothesize that the function of the repeat ensemble within the MR inhibitory domain is to serve some of these interactions by presenting various interacting surfaces through the formation of a β-solenoid fold.
Indeed, according to our 3D-model, several polar residues at conserved repeat positions stack in the interior of the β-solenoid stabilizing the β-helical fold, whereas hydrophobic as well as basic residues cluster on the surface of the β-helix implying an important role of this fold and of the resulting surfaces as interacting platforms. In particular, the β-solenoid surface resulting from the stacking of the solvent-exposed conserved apolar residues at MR-repeat position 5 (Figures 6, 7D and 8), may promote dimerization (as also observed in several other β-solenoid proteins ) and intra- or inter-molecular hydrophobic interactions of MR.
β-solenoids have been predicted to be located immediately before and/or after functional domains  and the MR-repeat region is flanked by the MR AF1a and AF1b trans-activation domains. Thus, in addition to providing interaction surfaces for co-repressor proteins, the proposed β-solenoid fold of the MR-repeat region may also play an indirect role in the function of MR by e.g., regulating (controlling) the relative positioning of its transcriptional trans-activation domains. Indeed, both the AF1a and AF1b regions have been shown to be involved in the aldosterone-specific MR inter-domain interaction between the NTD and LBD (N/C interaction), which in addition, has been proposed to be influenced by the distance between the two interacting domains . In support to this idea, the N/C interaction in MR was found to be specific to its N-terminus as substitution by the GR or AR N-terminus, lacking the repeat region, did not allow interaction with the MR LBD (see  and references therein).
Phosphorylation of steroid receptors has been shown to play an important role in modulating their function and most of the sites identified after hormone-treatment, include Ser-Pro motifs located at their NTDs ( and references therein). The MR contains multiple phosphorylation sites regulated by different kinases ( and references therein), including phosphorylation of the serines of many of the SPxN motifs of the repeats such as Ser299 , from repeat T10, and serines 196, 227, 238, 263, 287 and 361 (corresponding to the consensus ERK-related phosphorylation motif, X-P-X(1-3)-SP-X at repeats T2, T4, T5, T7, T9 and T15, respectively; Figure 2) that were recently reported to undergo rapid aldosterone-induced phosphorylation by the ERK1/2 kinase . According to our 3D-model, such serines appear to be inward-pointing and therefore inaccessible to kinases in the proposed folded form of the repeats (for example, see Ser299 in Figure 8); their phosphorylation would require a prior opening (unfolding) of the β-helical structure, at least locally. This could be achieved, for example, by another type of phosphorylation at exposed site(s). Alternatively, unfolding prior to phosphorylation may be induced by the kinase itself. Unfolding of their substrates upon docking and prior to phosphorylation has been attributed to some kinases working through docking motifs ( and references therein) including ERK2 . The observed increase of the sedimentation coefficient of Ser/Thr-phosphorylated MR (from 5.1S to 8.8S) , suggestive of a (Ser/Thr)phospho-induced opening of the MR structure, and the fact that many phosphorylation sites exist in the MR , support the idea of a specific phospho-induced unfolding of the helical structure of the MR inhibitory domain (Figure 9). In further support to this idea, aldosterone-induced sequential phosphorylation of MR repeats via ERK1/2 results in destabilization of the receptor through a polyubiquitylation/degradation mechanism . Furthermore, the observation that this specific phosphorylation by ERK1/2 disrupts the Tsg101/MR interaction leading to monoubiquitin removal from MR , implies an important role of the proposed β-helical structure of these MR repeats in Tsg101 binding and in preserving the monoubiquitylation state of the receptor. Based on these observations, it is tempting to speculate that the β-helical fold may offer an additional mechanism to prevent unspecific phosphorylation of MR.
In conclusion, we propose that the inhibitory domain of the MR contains sequence repeats compatible with a β-helical fold offering a scaffold for multiple intra-and inter-molecular interactions (including dimerization) and that these interactions are modulated via conformational changes, involving β-helix to random transitions, regulated by specific kinases, thus playing an important role in the coordination and sequential interactions of various MR partners and therefore in the specificity and in the (patho)physiological function of this receptor. We expect that these results should guide future research on the mechanisms of MR function.
Sequence similarity searches
Initial scan for homologs of the human MR was done using the NCBI BLAST server against the NCBI’s non-redundant protein sequence database with default parameters .
For a HMM profile search of homologs with MR repeats, we first computed a multiple sequence alignment of all possible pairs of consecutive repeats of the human and Danio rerio MR sequences reported in Figure 2. We used this alignment to scan the UniProtKB database of protein sequences using the hmmsearch option of the HMMER web server with default parameters . This search did not report significant hits other than MR proteins.
Multiple sequence alignment
For the graphical display of the MR repeat sequences in human MR and its homologs, we compiled a multiple sequence alignment of the human and Danio rerio MR sequences with MR sequences from selected species from tetrapoda and another bony fish (Figure 2). For simplicity, this alignment was also used for the analysis of identity levels between each of the human repeats and repeats in other tetrapoda shown in Figure 4. There are many other MR sequences in the protein sequence databases that were not used in the analysis.
Regular expression for detection of repeats
For an initial definition of a region of tandem repeats in a multiple sequence alignment of human MR and homologs, matches to regular expressions of increasing complexity were visualized with jalview . Using an ad hoc procedure, we started detecting the motif SP, and then a regular expression was step-wise increased in size and types of amino acids accepted, attempting to match as many hits in the region contiguous to the first repeats identified and as few hits as possible in other distant parts of the sequences.
Secondary structure predictions
Secondary structure prediction was carried out using the contact-dependent secondary structure propensities (CSSP)  tool (available at http://cssp2.sookmyung.ac.kr) and the MR repeat sequence as query.
Solenoid predictions were performed using the REPETITA algorithm presented in  using the REPETITA web tool (http://protein.bio.unipd.it/repetita) and the sequence of the MR repeats region as query.
Construction of initial 3D-models
The 3D-model of three consecutive hMR repeats (T11 to T13; aa: 306-339) was constructed as a three-coiled right-handed parallel β-helix, using the crystal structure of the T. molitor antifreeze protein (PBD code: 1EZG) , as template. The program Swiss-PdbViewer  and a manual editing of the sequence alignment between MR repeats and the template were used for this purpose. The sequence alignment was dictated by the following rules: (i) according to contact-dependent secondary structure predictions and the observation that most SPxx tetra-peptides fold into compact β-turn-like structures , the regions complying with the consensus sequence motifs, SSV and SPxN of each MR repeat should correspond to the β-strand and a β-like-turn of the β-helical coils of the template structure, respectively, and (ii) sites of insertions/deletions in the aligned repeats should be in loops. Inter-repeat loops were modeled using the build-loop utility of the Swiss-PdbViewer program. Ace-, Nme-blocked termini were added to the model to minimize the possibility of salt-bridge traps resulting from the charged termini. This model was subsequently used as the starting conformation for a set of replica-temperature exchange molecular dynamics (MD) simulations and a classical, 50 ns long, MD simulation in explicit water (see below).
The 3D-model of five consecutive hMR repeats (T9 to T13, aa: 280-338) was constructed as a five-coiled right-handed parallel β-helix by adding two additional β-helical coils to the most populated cluster (see below) of the 50 ns classical MD simulation of the three-repeat model, using the same rules and program, as described above. This model was subsequently used as the starting conformation for the 20 ns long MD simulation in explicit water (see below).
Molecular dynamics simulations
Molecular Dynamics (MD) simulations were performed using the GROMACS4 (v. 4.5.3) software package  through an updated version of the Gromita GUI that we developed recently . The improved version of the AMBER99-SB force field, AMBER99SB-ILDN , as implemented in GROMACS4, a time step for integration of the potential function of 2 fs and the LINCS algorithm for covalent bonds  were used in all MD simulations.
Replica exchange molecular dynamics
Replica-temperature Exchange MD (REMD) simulations  were performed starting from the β-helical conformation of three consecutive MR repeats, modeled as described above. Four replicas were used with temperatures of 275, 303, 333 and 365 K, respectively. 250 ns were performed for each replica, and a replica exchange was attempted every 1000 MD steps. Simulations were carried out using implicit solvation (GB/SA) and the OBC (II) model  for calculating Born radii. A cutoff of 10 Å was used for non-bonded interactions.
MD simulations in explicit water
The MD simulations in explicit water were carried out using periodic dodecahedron boxes filled with 1,624 and 3,100 TIP3P water molecules  to solvate the MR three- and five-repeat models, respectively. Periodic boundaries were applied to minimize edge effects. The systems were neutralized with counter-ions. The solvated systems were first optimized by conjugate gradient energy minimization combined with a steepest descent minimization performed every 100 steps. Subsequently, the systems were subjected to restrained MD simulations of 100 ps at 300 K, where the protein atoms were harmonically restrained to their initial position with a force constant of 1,000 kJ mol-1 nm-2 to allow the solvent to equilibrate. The optimization phase was followed by 50 and 20 ns of unrestrained MD simulations at 300 K, for the three- and five-repeat models, respectively. The NVT ensemble was used and the overall temperature was kept constant, coupling protein and solvent separately at 300 K using velocity rescaling . The v-rescaling method was preferred over the commonly used Berendsen thermostat, because it has been shown to give a better distribution of the kinetic energy . The long-range electrostatic interactions were evaluated using the particle mesh Ewald method  with a grid size of less than 0.12 nm. A non-bonded cutoff of 8 Å was used for both MD simulations. Rigid water using the SETTLE algorithm , was used in this type of simulations.
The five-repeat 3D-model obtained after the 20 ns MD simulation in explicit water was subsequently optimized using 50,000 steps of conjugate gradient energy minimization with flexible water.
Analysis of the MD trajectories
Analysis of the MD trajectories was focused on monitoring the secondary structure during the MD simulations using the DSSP criteria  through the do_dssp module of GROMACS. Cluster analysis used the g_cluster module of GROMACS. The VMD program  was used for the visualization of the trajectories and molecular model illustrations were rendered using PyMOL and VMD.
- Thornton JW: Evolution of vertebrate steroid receptors from an ancestral estrogen receptor by ligand exploitation and serial genome expansions. Proc Natl Acad Sci U S A 2001, 98(10):5671–5676. 10.1073/pnas.091553298PubMed CentralView ArticlePubMedGoogle Scholar
- Fournier D, Luft FC, Bader M, Ganten D, Andrade-Navarro MA: Emergence and evolution of the renin-angiotensin-aldosterone system. J Mol Med 2012, 90(5):495–508. 10.1007/s00109-012-0894-zPubMed CentralView ArticlePubMedGoogle Scholar
- Fuller PJ, Yao Y, Yang J, Young MJ: Mechanisms of ligand specificity of the mineralocorticoid receptor. J Endocrinol 2012, 213(1):15–24. 10.1530/JOE-11-0372View ArticlePubMedGoogle Scholar
- Pascual-Le Tallec L, Lombes M: The mineralocorticoid receptor: a journey exploring its diversity and specificity of action. Mol Endocrinol 2005, 19(9):2211–2221. 10.1210/me.2005-0089View ArticlePubMedGoogle Scholar
- Andrade MA, Perez-Iratxeta C, Ponting CP: Protein repeats: structures, functions, and evolution. J Struct Biol 2001, 134(2–3):117–131.View ArticlePubMedGoogle Scholar
- Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 1997, 25(17):3389–3402. 10.1093/nar/25.17.3389PubMed CentralView ArticlePubMedGoogle Scholar
- Waterhouse AM, Procter JB, Martin DM, Clamp M, Barton GJ: Jalview version 2–a multiple sequence alignment editor and analysis workbench. Bioinformatics 2009, 25(9):1189–1191. 10.1093/bioinformatics/btp033PubMed CentralView ArticlePubMedGoogle Scholar
- Villen J, Beausoleil SA, Gerber SA, Gygi SP: Large-scale phosphorylation analysis of mouse liver. Proc Natl Acad Sci U S A 2007, 104(5):1488–1493. 10.1073/pnas.0609836104PubMed CentralView ArticlePubMedGoogle Scholar
- Faresse N, Vitagliano JJ, Staub O: Differential ubiquitylation of the mineralocorticoid receptor is regulated by phosphorylation. Faseb J 2012, 26(10):4373–4382. 10.1096/fj.12-209924View ArticlePubMedGoogle Scholar
- Andrade MA, Ponting CP, Gibson TJ, Bork P: Homology-based method for identification of protein repeats using statistical significance estimates. J Mol Biol 2000, 298(3):521–537. 10.1006/jmbi.2000.3684View ArticlePubMedGoogle Scholar
- Finn RD, Clements J, Eddy SR: HMMER web server: interactive sequence similarity searching. Nucleic Acids Res 2011, 39(Web Server issue):W29-W37.PubMed CentralView ArticlePubMedGoogle Scholar
- Cole C, Barber JD, Barton GJ: The Jpred 3 secondary structure prediction server. Nucleic Acids Res 2008, 36(Web Server issue):W197-W201.PubMed CentralView ArticlePubMedGoogle Scholar
- Yoon S, Welsh WJ: Detecting hidden sequence propensity for amyloid fibril formation. Protein Sci 2004, 13(8):2149–2160. 10.1110/ps.04790604PubMed CentralView ArticlePubMedGoogle Scholar
- Fischer K, Kelly SM, Watt K, Price NC, McEwan IJ: Conformation of the mineralocorticoid receptor N-terminal domain: evidence for induced and stable structure. Mol Endocrinol 2010, 24(10):1935–1948. 10.1210/me.2010-0005View ArticlePubMedGoogle Scholar
- Kajava AV, Steven AC: Beta-rolls, beta-helices, and other beta-solenoid proteins. Adv Protein Chem 2006, 73: 55–96.View ArticlePubMedGoogle Scholar
- Kajava AV: Tandem repeats in proteins: from sequence to structure. J Struct Biol 2012, 179(3):279–288. 10.1016/j.jsb.2011.08.009View ArticlePubMedGoogle Scholar
- Marsella L, Sirocco F, Trovato A, Seno F, Tosatto SC: REPETITA: detection and discrimination of the periodicity of protein solenoid repeats by discrete Fourier transform. Bioinformatics 2009, 25(12):i289-i295. 10.1093/bioinformatics/btp232PubMed CentralView ArticlePubMedGoogle Scholar
- Jenkins J, Pickersgill R: The architecture of parallel beta-helices and related folds. Prog Biophys Mol Biol 2001, 77(2):111–175. 10.1016/S0079-6107(01)00013-XView ArticlePubMedGoogle Scholar
- Sieber V, Jurnak F, Moe GR: Circular dichroism of the parallel beta helical proteins pectate lyase C and E. Proteins 1995, 23(1):32–37. 10.1002/prot.340230105View ArticlePubMedGoogle Scholar
- Liou YC, Daley ME, Graham LA, Kay CM, Walker VK, Sykes BD, Davies PL: Folding and structural characterization of highly disulfide-bonded beetle antifreeze protein produced in bacteria. Protein Expr Purif 2000, 19(1):148–157. 10.1006/prep.2000.1219View ArticlePubMedGoogle Scholar
- Driver RW, Hoang HN, Abbenante G, Fairlie DP: A cyclic beta-strand tripeptide with an alpha-helix like CD spectrum. Org Lett 2009, 11(14):3092–3095. 10.1021/ol901181bView ArticlePubMedGoogle Scholar
- Crooks GE, Hon G, Chandonia JM, Brenner SE: WebLogo: a sequence logo generator. Genome Res 2004, 14(6):1188–1190. 10.1101/gr.849004PubMed CentralView ArticlePubMedGoogle Scholar
- Liou YC, Tocilj A, Davies PL, Jia Z: Mimicry of ice structure by surface hydroxyls and water of a beta-helix antifreeze protein. Nature 2000, 406(6793):322–324. 10.1038/35018604View ArticlePubMedGoogle Scholar
- Suzuki M, Yagi N: Structure of the SPXX motif. Proc Biol Sci 1991, 246(1317):231–235. 10.1098/rspb.1991.0149View ArticlePubMedGoogle Scholar
- Sugita Y, Okamoto Y: Replica-exchange molecular dynamics method for protein folding. Chem Phys Lett 1999, 314: 141–151. 10.1016/S0009-2614(99)01123-9View ArticleGoogle Scholar
- Matsui I, Harata K: Implication for buried polar contacts and ion pairs in hyperthermostable enzymes. Febs J 2007, 274(16):4012–4022. 10.1111/j.1742-4658.2007.05956.xView ArticlePubMedGoogle Scholar
- Yoder MD, Jurnak F: Protein motifs 3: the parallel beta helix and other coiled folds. Faseb J 1995, 9(5):335–342.PubMedGoogle Scholar
- Yang J, Fuller PJ: Interactions of the mineralocorticoid receptor–within and without. Mol Cell Endocrinol 2012, 350(2):196–205. 10.1016/j.mce.2011.07.001View ArticlePubMedGoogle Scholar
- Farman N, Rafestin-Oblin ME: Multiple aspects of mineralocorticoid selectivity. Am J Physiol Renal Physiol 2001, 280(2):F181-F192.PubMedGoogle Scholar
- Hill KK, Roemer SC, Churchill ME, Edwards DP: Structural and functional analysis of domains of the progesterone receptor. Mol Cell Endocrinol 2012, 348(2):418–429. 10.1016/j.mce.2011.07.017PubMed CentralView ArticlePubMedGoogle Scholar
- Kumar R, Thompson EB: Folding of the glucocorticoid receptor N-terminal transactivation function: dynamics and regulation. Mol Cell Endocrinol 2012, 348(2):450–456. 10.1016/j.mce.2011.03.024View ArticlePubMedGoogle Scholar
- Kajava AV, Steven AC: The turn of the screw: variations of the abundant beta-solenoid motif in passenger domains of type V secretory proteins. J Struct Biol 2006, 155(2):306–315. 10.1016/j.jsb.2006.01.015View ArticlePubMedGoogle Scholar
- Pippal JB, Yao Y, Rogerson FM, Fuller PJ: Structural and functional characterization of the interdomain interaction in the mineralocorticoid receptor. Mol Endocrinol 2009, 23(9):1360–1370. 10.1210/me.2009-0032PubMed CentralView ArticlePubMedGoogle Scholar
- Pippal JB, Fuller PJ: Structure-function relationships in the mineralocorticoid receptor. J Mol Endocrinol 2008, 41(6):405–413. 10.1677/JME-08-0093View ArticlePubMedGoogle Scholar
- Weigel NL, Moore NL: Steroid receptor phosphorylation: a key modulator of multiple receptor functions. Mol Endocrinol 2007, 21(10):2311–2319. 10.1210/me.2007-0101View ArticlePubMedGoogle Scholar
- Viengchareun S, Le Menuet D, Martinerie L, Munier M, Le Pascual-Tallec L, Lombes M: The mineralocorticoid receptor: insights into its molecular and (patho)physiological biology. Nucl Recept Signal 2007, 5: e012.PubMed CentralPubMedGoogle Scholar
- Sellis D, Drosou V, Vlachakis D, Voukkalis N, Giannakouros T, Vlassi M: Phosphorylation of the arginine/serine repeats of lamin B receptor by SRPK1-insights from molecular dynamics simulations. Biochim Biophys Acta 2012, 1820(1):44–55. 10.1016/j.bbagen.2011.10.010View ArticlePubMedGoogle Scholar
- Chang CI, Xu BE, Akella R, Cobb MH, Goldsmith EJ: Crystal structures of MAP kinase p38 complexed to the docking sites on its nuclear substrate MEF2A and activator MKK3b. Mol Cell 2002, 9(6):1241–1249. 10.1016/S1097-2765(02)00525-7View ArticlePubMedGoogle Scholar
- Galigniana MD: Native rat kidney mineralocorticoid receptor is a phosphoprotein whose transformation to a DNA-binding form is induced by phosphatases. Biochem J 1998, 333(Pt 3):555–563.PubMed CentralView ArticlePubMedGoogle Scholar
- Johnson M, Zaretskaya I, Raytselis Y, Merezhuk Y, McGinnis S, Madden TL: NCBI BLAST: a better web interface. Nucleic Acids Res 2008, 36(Web Server issue):W5-W9.PubMed CentralView ArticlePubMedGoogle Scholar
- Guex N, Peitsch MC: SWISS-MODEL and the Swiss-PdbViewer: an environment for comparative protein modeling. Electrophoresis 1997, 18(15):2714–2723. 10.1002/elps.1150181505View ArticlePubMedGoogle Scholar
- Hess B, Kutzner C, van der Spoel D, Lindahl E: GROMACS 4: algorithms for highly efficient, load-balanced, and scalable molecular simulation. J Chem Theory Comput 2008, 4(3):435–447. 10.1021/ct700301qView ArticleGoogle Scholar
- Sellis D, Vlachakis D, Vlassi M: Gromita: a fully integrated graphical user interface to gromacs 4. Bioinform Biol Insights 2009, 3: 99–102.PubMed CentralPubMedGoogle Scholar
- Lindorff-Larsen K, Piana S, Palmo K, Maragakis P, Klepeis JL, Dror RO, Shaw DE: Improved side-chain torsion potentials for the Amber ff99SB protein force field. Proteins 2010, 78(8):1950–1958.PubMed CentralPubMedGoogle Scholar
- Hess B, Bekker H, Berendsen HJC, Fraaije JGEM: LINCS: a linear constraint solver for molecular simulations. J Comp Chem 1997, 18: 1463–1472. 10.1002/(SICI)1096-987X(199709)18:12<1463::AID-JCC4>3.0.CO;2-HView ArticleGoogle Scholar
- Onufriev A, Bashford D, Case DA: Exploring protein native states and large-scale conformational changes with a modified generalized born model. Proteins 2004, 55(2):383–394. 10.1002/prot.20033View ArticlePubMedGoogle Scholar
- Jorgensen WL, Chandrasekhar J, Madura JD, Impey RW, Klein ML: Comparison of simple potential functions for simulating liquid water. J Chem Phys 1983, 79: 926–935. 10.1063/1.445869View ArticleGoogle Scholar
- Bussi G, Donadio D, Parrinello M: Canonical sampling through velocity rescaling. J Chem Phys 2007, 126(1):014101. 10.1063/1.2408420View ArticlePubMedGoogle Scholar
- Essman U, Perela L, Berkowitz ML, Darden T, Lee H, Pedersen LG: A smooth particle mesh Ewald method. J Chem Phys 1995, 103: 8577–8592. 10.1063/1.470117View ArticleGoogle Scholar
- Miyamoto S, Kollman PA: SETTLE: an analytical version of the SHAKE and RATTLE algorithms for rigid water models. J Comp Chem 1992, 13: 952–962. 10.1002/jcc.540130805View ArticleGoogle Scholar
- Kabsch W, Sander C: Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features. Biopolymers 1983, 22(12):2577–2637. 10.1002/bip.360221211View ArticlePubMedGoogle Scholar
- Humphrey W, Dalke A, Schulten K: VMD: visual molecular dynamics. J Mol Graph 1996, 14(1):33–38. 27–38 10.1016/0263-7855(96)00018-5View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.