Structural insights into the role of the WW2 domain on tandem WW–PPxY motif interactions of oxidoreductase WWOX

Class I WW domains are present in many proteins of various functions and mediate protein interactions by binding to short linear PPxY motifs. Tandem WW domains often bind peptides with multiple PPxY motifs, but the interplay of WW–peptide interactions is not always intuitive. The WW domain–containing oxidoreductase (WWOX) harbors two WW domains: an unstable WW1 capable of PPxY binding and stable WW2 that cannot bind PPxY. The WW2 domain has been suggested to act as a WW1 domain chaperone, but the underlying mechanism of its chaperone activity remains to be revealed. Here, we combined NMR, isothermal calorimetry, and structural modeling to elucidate the roles of both WW domains in WWOX binding to its PPxY-containing substrate ErbB4. Using NMR, we identified an interaction surface between these two domains that supports a WWOX conformation compatible with peptide substrate binding. Isothermal calorimetry and NMR measurements also indicated that while binding affinity to a single PPxY motif is marginally increased in the presence of WW2, affinity to a dual-motif peptide increases 10-fold. Furthermore, we found WW2 can directly bind double-motif peptides using its canonical binding site. Finally, differential binding of peptides in mutagenesis experiments was consistent with a parallel N- to C-terminal PPxY tandem motif orientation in binding to the WW1–WW2 tandem domain, validating structural models of the interaction. Taken together, our results reveal the complex nature of tandem WW-domain organization and substrate binding, highlighting the contribution of WWOX WW2 to both protein stability and target binding.     

Structural characterization of a new binding motif and a novel binding mode in group 2 WW domains

Formin homology 1 (FH1), is a long proline-rich region of formins, shown to bind to five WW containing proteins named formin binding proteins (FBPs). FH1 has several potential binding regions but only the PPLPx motif and its interaction with FBP11WW1 has been characterized structurally. To detect whether additional motifs exist in FH1, we synthesized five peptides and investigated their interaction with FBP28WW2, FBP11WW1 and FBP11WW2 domains. Peptides of sequence PTPPPLPP (positive control), PPPLIPPPP and PPLIPPPP (new motifs) interact with the domains with micromolar affinity. We observed that FBP28WW2 and FBP11WW2 behave differently from FBP11WW1 in terms of motif selection and affinity, since they prefer a doubly interrupted proline stretch of sequence PPLIPP. We determined the NMR structure of three complexes involving the FBP28WW2 domain and the three ligands. Depending on the peptide under study, the domain interacts with two proline residues accommodated in either the XP or the XP2 groove. This difference represents a one-turn displacement of the domain along the ligand sequence. To understand what drives this behavior, we performed further structural studies with the FBP11WW1 and a mutant of FBP28WW2 mimicking the XP2 groove of FBP11WW1. Our observations suggest that the nature of the XP2 groove and the balance of flexibility/rigidity around loop 1 of the domain contribute to the selection of the final ligand positioning in fully independent domains. Additionally, we analyzed the binding of a double WW domain region, FBP11WW1-2, to a long stretch of FH1 using fluorescence spectroscopy and NMR titrations. With this we show that the presence of two consecutive WW domains may also influence the selection of the binding mode, particularly if both domains can interact with consecutive motifs in the ligand. Our results represent the first observation of protein-ligand recognition where a pair of WW and two consecutive motifs in a ligand participate simultaneously.     

A map of WW domain family interactions

WW domains are protein modules that bind proline-rich ligands. WW domain-ligand complexes are of importance as they have been implicated in several human diseases such as muscular dystrophy, cancer, hypertension, Alzheimer's, and Huntington's diseases. We report the results of a protein array aimed at mapping all the human WW domain protein-protein interactions. Our biochemical approach integrates parallel synthesis of peptides, protein expression, and high-throughput screening methodology combined with tools of bioinformatics. The results suggest that the majority of the bioinformatically predicted WW peptide ligands and most WW domains are functional, and that only about 10% of the measured domain-ligand interactions are positive. The analysis of the WW domain protein arrays also underscores the importance of the amino acid residues surrounding the WW ligand core motifs for specific binding to WW domains. In addition, the methodology presented here allows for the rapid elucidation of WW domain-ligand interactions with multiple applications including prediction of exact WW ligand binding sites, which can be applied to the mapping of other protein signaling domain families. Such information can be applied to the generation of protein interaction networks and identification of potential drug targets. To our knowledge, this report describes the first protein-protein interaction map of a domain in the human proteome.     

Quantification of PDZ domain specificity, prediction of ligand affinity and rational design of super-binding peptides

Transient macromolecular complexes are often formed by protein-protein interaction domains (e.g. PDZ, SH2, SH3, WW) which recognize linear sequence motifs with in vitro affinities typically in the micromolar range. The analysis of the resulting interaction networks requires a quantification of domain specificity and selectivity towards all possible ligands with physiologically relevant affinity. As representative examples, we determined specificity as a function of ligand sequence-dependent affinity contributions by statistical analysis of peptide library screens for the AF6, ERBIN and SNA1 (alpha-1-syntrophin) PDZ domains. For this purpose, the three PDZ domains were first screened for binding with a peptide library comprising 6223 human C termini created by SPOT synthesis. Based on the detected ligand preferences, we designed focused peptide libraries (profile libraries). These libraries were used to quantify the affinity contributions of the four C-terminal ligand residues by means of ANOVA models (analysis of variance) relating the C-terminal ligand sequences to the corresponding dissociation constants. Our models agreed well with experimentally determined dissociation constants and allowed us to design super binding peptides. The latter were shown experimentally to bind to their cognate PDZ domains with the highest affinity. In addition, we determined structure-activity relationships and thereby rationalized the position-specific affinity contributions. Furthermore, we used the statistical models to predict the dissociation constants for the complete ligand sequence space and thus determined the specificity overlap for the three investigated PDZ domains (). Altogether, we present an efficient method for profiling protein-protein interaction domains that provides a biophysical picture of specificity and selectivity. This approach allows the rational design of functional experiments and provides a basis for simulating interaction networks in the field of systems biology.     

Characterization of domain-peptide interaction interface: a case study on the amphiphysin-1 SH3 domain

Many important protein-protein interactions are mediated by peptide recognition modular domains, such as the Src homology 3 (SH3), SH2, PDZ, and WW domains. Characterizing the interaction interface of domain-peptide complexes and predicting binding specificity for modular domains are critical for deciphering protein-protein interaction networks. Here, we propose the use of an energetic decomposition analysis to characterize domain-peptide interactions and the molecular interaction energy components (MIECs), including van der Waals, electrostatic, and desolvation energy between residue pairs on the binding interface. We show a proof-of-concept study on the amphiphysin-1 SH3 domain interacting with its peptide ligands. The structures of the human amphiphysin-1 SH3 domain complexed with 884 peptides were first modeled using virtual mutagenesis and optimized by molecular mechanics (MM) minimization. Next, the MIECs between domain and peptide residues were computed using the MM/generalized Born decomposition analysis. We conducted two types of statistical analyses on the MIECs to demonstrate their usefulness for predicting binding affinities of peptides and for classifying peptides into binder and non-binder categories. First, combining partial least squares analysis and genetic algorithm, we fitted linear regression models between the MIECs and the peptide binding affinities on the training data set. These models were then used to predict binding affinities for peptides in the test data set; the predicted values have a correlation coefficient of 0.81 and an unsigned mean error of 0.39 compared with the experimentally measured ones. The partial least squares-genetic algorithm analysis on the MIECs revealed the critical interactions for the binding specificity of the amphiphysin-1 SH3 domain. Next, a support vector machine (SVM) was employed to build classification models based on the MIECs of peptides in the training set. A rigorous training-validation procedure was used to assess the performances of different kernel functions in SVM and different combinations of the MIECs. The best SVM classifier gave satisfactory predictions for the test set, indicated by average prediction accuracy rates of 78% and 91% for the binding and non-binding peptides, respectively. We also showed that the performance of our approach on both binding affinity prediction and binder/non-binder classification was superior to the performances of the conventional MM/Poisson-Boltzmann solvent-accessible surface area and MM/generalized Born solvent-accessible surface area calculations. Our study demonstrates that the analysis of the MIECs between peptides and the SH3 domain can successfully characterize the binding interface, and it provides a framework to derive integrated prediction models for different domain-peptide systems.     

Structural features and ligand binding properties of tandem WW domains from YAP and TAZ, nuclear effectors of the Hippo pathway

The paralogous multifunctional adaptor proteins YAP and TAZ are the nuclear effectors of the Hippo pathway, a central mechanism of organ size control and stem cell self-renewal. WW domains, mediators of protein-protein interactions, are essential for YAP and TAZ function, enabling interactions with PPxY motifs of numerous partner proteins. YAP has single and double WW domain isoforms (YAP1 and YAP2) whereas only a single WW domain isoform of TAZ has been described to date. Here we identify the first example of a double WW domain isoform of TAZ. Using NMR, we have characterized conformational features and peptide binding of YAP and TAZ tandem WW domains (WW1-WW2). The solution structure of YAP WW2 confirms that it has a canonical three-stranded antiparallel β-sheet WW domain fold. While chemical shift-based analysis indicates that the WW domains in the tandem WW pairs retain the characteristic WW domain fold, 15N relaxation data show that, within the respective WW pairs, YAP WW1 and both WW1 and WW2 of TAZ undergo conformational exchange. 15N relaxation data also indicate that the linker between the WW domains is flexible in both YAP and TAZ. Within both YAP and TAZ tandem WW pairs, WW1 and WW2 bind single PPxY-containing peptide ligand concurrently and noncooperatively with sub-mM affinity. YAP and TAZ WW1-WW2 bind a dual PPxY-containing peptide with approximately 6-fold higher affinity. Our results indicate that both WW domains in YAP and TAZ are functional and capable of enhanced affinity binding to multi-PPxY partner proteins such as LATS1, ErbB4, and AMOT.     

Can we infer peptide recognition specificity mediated by SH3 domains?

Protein interaction domain families that modulate the formation of macromolecular complexes recognize specific sequence or structural motifs. For instance SH3 and WW domains bind to polyproline peptides while SH2 and FHA domains bind to peptides phosphorylated in Tyr and Thr respectively. Within each family, variations in the chemical characteristics of the domain binding pocket modulate a finer peptide recognition specificity and, as a consequence, determine the selection of functional protein partners in vivo. In the proteomic era there is the need for reliable inference methods to help restricting the sequence space of the putative targets to be confirmed experimentally by more laborious experimental approaches. Here we will review the published data about the peptide recognition specificity of the SH3 domain family and we will propose a classification of SH3 domains into eight classes. Finally, we will discuss whether the available information is sufficient to infer the recognition specificity of any uncharacterized SH3 domain.     

A novel pro-Arg motif recognized by WW domains

WW domains mediate protein-protein interactions through binding to short proline-rich sequences. Two distinct sequence motifs, PPXY and PPLP, are recognized by different classes of WW domains, and another class binds to phospho-Ser-Pro sequences. We now describe a novel Pro-Arg sequence motif recognized by a different class of WW domains using data from oriented peptide library screening, expression cloning, and in vitro binding experiments. The prototype member of this group is the WW domain of formin-binding protein 30 (FBP30), a p53-regulated molecule whose WW domains bind to Pro-Arg-rich cellular proteins. This new Pro-Arg sequence motif re-classifies the organization of WW domains based on ligand specificity, and the Pro-Arg class now includes the WW domains of FBP21 and FE65. A structural model is presented which rationalizes the distinct motifs selected by the WW domains of YAP, Pin1, and FBP30. The Pro-Arg motif identified for WW domains often overlaps with SH3 domain motifs within protein sequences, suggesting that the same extended proline-rich sequence could form discrete SH3 or WW domain complexes to transduce distinct cellular signals.     

Structure and dynamics of human Nedd4-1 WW3 in complex with the αENaC PY motif

Nedd4-1 (neuronal precursor cell expressed developmentally downregulated gene 4-1) is an E3 ubiquitin ligase that interacts with and negatively regulates the epithelial Na⁺ channel (ENaC). The WW domains of Nedd4-1 bind to the ENaC subunits via recognition of PY motifs. Human Nedd4-1 (hNedd4-1) contains four WW domains with the third domain (WW3*) showing the strongest affinity to the PY motif. To understand the mechanism underlying this binding affinity, we have carried out NMR structural and dynamics analyses of the hNedd4-1 WW3* domain in complex with a peptide comprising the C-terminal tail of the human ENaC α-subunit. The structure reveals that the peptide interacts in a similar manner to other WW domain–ENaC peptide structures. Crucial interactions that likely provide binding affinity are the broad XP groove facilitating additional contacts between the WW3* domain and the peptide, compared to similar complexes, and the large surface area buried (83 Å²) between R430 (WW3*) and L647′ (αENaC). This corroborates the model-free analysis of the ¹⁵N backbone relaxation data, which showed that R430 is the most rigid residue in the domain (S² = 0.90 ± 0.01). Carr–Purcell–Meiboom–Gill relaxation dispersion analysis identified two different conformational exchange processes on the μs–ms time-scale. One of these processes involves residues located at the peptide binding interface, suggesting conformational exchange may play a role in peptide recognition. Thus, both structural and dynamic features of the complex appear to define the high binding affinity. The results should aid interpretation of biochemical data and modeling interfaces between Nedd4-1 and other interacting proteins.     

Affinity and specificity of interactions between Nedd4 isoforms and the epithelial Na+ channel

The epithelial Na+ channel (alphabetagammaENaC) regulates salt and fluid homeostasis and blood pressure. Each ENaC subunit contains a PY motif (PPXY) that binds to the WW domains of Nedd4, a Hect family ubiquitin ligase containing 3-4 WW domains and usually a C2 domain. It has been proposed that Nedd4-2, but not Nedd4-1, isoforms can bind to and suppress ENaC activity. Here we challenge this notion and show that, instead, the presence of a unique WW domain (WW3*) in either Nedd4-2 or Nedd4-1 determines high affinity interactions and the ability to suppress ENaC. WW3* from either Nedd4-2 or Nedd4-1 binds ENaC-PY motifs equally well (e.g. Kd approximately 10 microm for alpha- or betaENaC, 3-6-fold higher affinity than WW4), as determined by intrinsic tryptophan fluorescence. Moreover, dNedd4-1, which naturally contains a WW3* instead of WW2, is able to suppress ENaC function equally well as Nedd4-2. Homology models of the WW3*.betaENaC-PY complex revealed that a Pro and Ala conserved in all WW3*, but not other Nedd4-WW domains, help form the binding pocket for PY motif prolines. Extensive contacts are formed between the betaENaC-PY motif and the Pro in WW3*, and the small Ala creates a large pocket to accommodate the peptide. Indeed, mutating the conserved Pro and Ala in WW3* reduces binding affinity 2-3-fold. Additionally, we demonstrate that mutations in PY motif residues that form contacts with the WW domain based on our previously solved structure either abolish or severely reduce binding affinity to the WW domain and that the extent of binding correlates with the level of ENaC suppression. Independently, we show that a peptide encompassing the PY motif of sgk1, previously proposed to bind to Nedd4-2 and alter its ability to regulate ENaC, does not bind (or binds poorly) the WW domains of Nedd4-2. Collectively, these results suggest that high affinity of WW domain-PY-motif interactions rather than affiliation with Nedd4-1/Nedd-2 is critical for ENaC suppression by Nedd4 proteins.     

EVH1 domains: structure, function and interactions

Drosophila enabled/vasodilator-stimulated phosphoprotein homology 1 (EVH1) domains are 115 residue protein-protein interaction modules which provide essential links for their host proteins to various signal transduction pathways. Many EVH1-containing proteins are associated closely with actin-based structures and are involved in re-organization of the actin cytoskeleton. EVH1 domains are also present in proteins enriched in neuronal tissue, thus implicating them as potential mediators of synaptic plasticity, linking them to memory formation and learning. Like Src homology 3, WW and GYF domains and profilin, EVH1 domains recognize and bind specific proline-rich sequences (PRSs). The binding is of low affinity, but tightly regulated by the high specificity encoded into residues in the protein:peptide interface. In general, a small (3-6 residue) 'core' PRS in the target protein binds a 'recognition pocket' on the domain surface. Further affinity- and specificity-increasing interactions are then formed between additional domain epitopes and peptide 'core-flanking' residues. The three-dimensional structures of EVH1:peptide complexes now reveal, in great detail, some of the most important features of these interactions and allow us to better understand the origins of specificity, ligand orientation and sequence degeneracy of target peptides, in low affinity signalling complexes.     

WW and SH3 domains, two different scaffolds to recognize proline-rich ligands

WW domains are small protein modules composed of approximately 40 amino acids. These domains fold as a stable, triple stranded beta-sheet and recognize proline-containing ligands. WW domains are found in many different signaling and structural proteins, often localized in the cytoplasm as well as in the cell nucleus. Based on analyses of seven structures of WW domains, we discuss their diverse binding preferences and sequence conservation patterns. While modeling WW domains for which structures have not been determined we uncovered a case of potential molecular and functional convergence between WW and SH3 domains. The binding surface of the modeled WW domain of Npw38 protein shows a remarkable similarity to the SH3 domain of Sem5 protein, confirming biochemical data on similar binding predilections of both domains.     

Evolution of binding affinity in a WW domain probed by phage display

The WW domain is an approximately 38 residue peptide-binding motif that binds a variety of sequences, including the consensus sequence xPPxY. We have displayed hYAP65 WW on the surface of M13 phage and randomized one-third of its three-stranded antiparallel beta-sheet. Improved binding to the hydrophobic peptide, GTPPPPYTVG (WW1), was selected in the presence of three different concentrations of proteinase K to simultaneously drive selection for improved stability as well as high-affinity binding. While some of the selected binders show cooperative unfolding transitions, others show noncooperative thermal unfolding curves. Two novel WW consensus sequences have been identified, which bind to the xPPxY motif with higher affinity than the wild-type hYAP65 WW domain. These WW domain sequences are not precedented in any natural WW domain sequence. Thus, there appear to be a large number of motifs capable of recognizing the target peptide sequence, only a subset of which appear to be used in natural proteins.     

Common mechanism of ligand recognition by group II/III WW domains: redefining their functional classification

WW domain is a well known protein module that mediates protein to protein interactions by binding to proline-containing ligands. Based on the ligand predilections, the WW domains have been classified into four major groups. Group II and III WW domains have been reported to bind the proline-leucine and proline-arginine motifs, respectively. In the present study, using surface plasmon resonance technique we have shown that these WW domains have almost indistinguishable ligand preferences and kinetic properties. Hence, we propose that Group II and III WW domains should be joined together as one group (Group II/III). Unlike Group I and IV WW domains, Group II/III WW domains can bind simple polyprolines as well as the proline-leucine and proline-arginine motifs, and they possess two Xaa-proline (where Xaa is any amino acid) binding grooves similar to SH3 domains. Our work assigns Group II and III WW domains to a larger family of polyproline-binding modules and proteins, which includes SH3 domains and profilin. Because polyprolines belong to the most frequently found peptide motifs in several genomes, our study implies the versatile importance of Group II/III WW domains in signaling.     

Sequence, structure and energetic determinants of phosphopeptide selectivity of SH2 domains

Here, we present an approach for the prediction of binding preferences of members of a large protein family for which structural information for a number of family members bound to a substrate is available. The approach involves a number of steps. First, an accurate multiple alignment of sequences of all members of a protein family is constructed on the basis of a multiple structural superposition of family members with known structure. Second, the methods of continuum electrostatics are used to characterize the energetic contribution of each residue in a protein to the binding of its substrate. Residues that make a significant contribution are mapped onto the protein sequence and are used to define a "binding site signature" for the complex being considered. Third, sequences whose structures have not been determined are checked to see if they have binding-site signatures similar to one of the known complexes. Predictions of binding affinity to a given substrate are based on similarities in binding-site signature. An important component of the approach is the introduction of a context-specific substitution matrix suitable for comparison of binding-site residues.The methods are applied to the prediction of phosphopeptide selectivity of SH2 domains. To this end, the energetic roles of all protein residues in 17 different complexes of SH2 domains with their cognate targets are analyzed. The total number of residues that make significant contributions to binding is found to vary from nine to 19 in different complexes. These energetically important residues are found to contribute to binding through a variety of mechanisms, involving both electrostatic and hydrophobic interactions. Binding-site signatures are found to involve residues in different positions in SH2 sequences, some of them as far as 9A away from a bound peptide. Surprisingly, similarities in the signatures of different domains do not correlate with whole-domain sequence identities unless the latter is greater than 50%.An extensive comparison with the optimal binding motifs determined by peptide library experiments, as well as other experimental data indicate that the similarity in binding preferences of different SH2 domains can be deduced on the basis of their binding-site signatures. The analysis provides a rationale for the empirically derived classification of SH2 domains described by Songyang & Cantley, in that proteins in the same group are found to have similar residues at positions important for binding. Confident predictions of binding preference can be made for about 85% of SH2 domain sequences found in SWISSPROT. The approach described in this work is quite general and can, in principle, be used to analyze binding preferences of members of large protein families for which structural information for a number of family members is available. It also offers a strategy for predicting cross-reactivity of compounds designed to bind to a particular target, for example in structure-based drug design.     

WW domain sequence activity relationships identified using ligand recognition propensities of 42 WW domains

WW domains mediate protein-protein interactions in a number of different cellular functions by recognizing proline-containing peptide sequences. We determined peptide recognition propensities for 42 WW domains using NMR spectroscopy and peptide library screens. As potential ligands, we studied both model peptides and peptides based on naturally occurring sequences, including phosphorylated residues. Thirty-two WW domains were classified into six groups according to detected ligand recognition preferences for binding the motifs PPx(Y/poY), (p/phi)P(p,g)PPpR, (p/phi)PPRgpPp, PPLPp, (p/xi)PPPPP, and (poS/poT)P (motifs according to modified Seefeld Convention 2001). In addition to these distinct binding motifs, group-specific WW domain consensus sequences were identified. For PPxY-recognizing domains, phospho-tyrosine binding was also observed. Based on the sequences of the PPx(Y/poY)-specific group, a profile hidden Markov model was calculated and used to predict PPx(Y/poY)-recognition activity for WW domains, which were not assayed. PPx(Y/poY)-binding was found to be a common property of NEDD4-like ubiquitin ligases.     

Identification of the WW domain-interaction sites in the unstructured N-terminal domain of EBV LMP 2A

Epstein-Barr virus latency is maintained by the latent membrane protein (LMP) 2A, which mimics the B-cell receptor (BCR) and perturbs BCR signaling. The cytoplasmic N-terminal domain of LMP2A is composed of 119 amino acids. The N-terminal domain of LMP2A (LMP2A NTD) contains two PY motifs (PPPPY) that interact with the WW domains of Nedd4 family ubiquitin-protein ligases. Based on our analysis of NMR data, we found that the LMP2A NTD adopts an overall random-coil structure in its native state. However, the region between residues 60 and 90 was relatively ordered, and seemed to form the hydrophobic core of the LMP2A NTD. This region resides between two PY motifs and is important for WW domain binding. Mapping of the residues involved in the interaction between the LMP2A NTD and WW domains was achieved by chemical shift perturbation, by the addition of WW2 and WW3 peptides. Interestingly, the binding of the WW domains mainly occurred in the hydrophobic core of the LMP2A NTD. In addition, we detected a difference in the binding modes of the two PY motifs against the two WW peptides. The binding of the WW3 peptide caused the resonances of five residues (Tyr(60), Glu(61), Asp(62), Trp(65), and Gly(66)) just behind the N-terminal PY motif of the LMP2A NTD to disappear. A similar result was obtained with WW2 binding. However, near the C-terminal PY motif, the chemical shift perturbation caused by WW2 binding was different from that due to WW3 binding, indicating that the residues near the PY motifs are involved in selective binding of WW domains. The present work represents the first structural study of the LMP2A NTD and provides fundamental structural information about its interaction with ubiquitin-protein ligase.     

Solution structures of the YAP65 WW domain and the variant L30 K in complex with the peptides GTPPPPYTVG, N-(n-octyl)-GPPPY and PLPPY and the application of peptide libraries reveal a minimal binding epitope.

The single mutation L30 K in the Hu-Yap65 WW domain increased the stability of the complex with the peptide GTPPPPYTVG (K(d)=40(+/-5) microM). Here we report the refined solution structure of this complex by NMR spectroscopy and further derived structure-activity relationships by using ligand peptide libraries with truncated sequences and a substitution analysis that yielded acetyl-PPPPY as the smallest high-affinity binding peptide (K(d)=60 microM). The structures of two new complexes with weaker binding ligands chosen based on these results (N-(n-octyl)-GPPPYNH(2) and Ac-PLPPY) comprising the wild-type WW domain of Hu-Yap65 were determined. Comparison of the structures of the three complexes were useful for identifying the molecular basis of high-affinity: hydrophobic and specific interactions between the side-chains of Y28 and W39 and P5' and P4', respectively, and hydrogen bonds between T37 (donnor) and P5' (acceptor) and between W39 (donnor) and T2' (acceptor) stabilize the complex.The structure of the complex L30 K Hu-Yap65 WW domain/GTPPPPYTVG is compared to the published crystal structure of the dystrophin WW domain bound to a segment of the beta-dystroglycan protein and to the solution structure of the first Nedd4 WW domain and its prolin-rich ligand, suggesting that WW sequences bind proline-rich peptides in an evolutionary conserved fashion. The position equivalent to T22 in the Hu-Yap65 WW domain sequence is seen as responsible for differentiation in the binding mode among the WW domains of group I.     

An autonomously folding beta-hairpin derived from the human YAP65 WW domain: attempts to define a minimum ligand-binding motif

WW domains are broadly distributed among natural proteins; these modules play a role in bringing specific proteins together. The ligands recognized by WW domains are short segments rich in proline residues. We have tried to identify the minimum substructure within a WW domain that is required for ligand binding. WW domains typically comprise ca. 40 residues and fold to a three-stranded beta-sheet. Structural data for several WW domain/ligand complexes suggest that most or all of the intermolecular contacts involve beta-strands 2 and 3. We have developed a 16-residue peptide that folds to a beta-hairpin conformation that appears to mimic beta-strands 2 and 3 of the human YAP65 WW domain, but this peptide does not bind to known ligands. Thus, the minimum binding domain is larger than the latter two strands of the WW domain beta-sheet.