Interactome mapping uncovers a general role for Numb in protein kinase regulation

Cellular functions are frequently regulated by protein-protein interactions involving the binding of a modular domain in one protein to a specific peptide sequence in another. This mechanism may be explored to identify binding partners for proteins harboring a peptide-recognition domain. Here we report a proteomic strategy combining peptide and protein microarray screening with biochemical and cellular assays to identify modular domain-mediated protein-protein interactions in a systematic manner. We applied this strategy to Numb, a multi-functional protein containing a phosphotyrosine-binding (PTB) domain. Through the screening of a protein microarray, we identified >100 protein kinases, including both Tyr and Ser/Thr kinases, that could potentially interact with the Numb PTB domain, suggesting a general role for Numb in regulating kinase function. The putative interactions between Numb and several tyrosine kinases were subsequently validated by GST pull-down and/or co-immunoprecipitation assays. Furthermore, using the Oriented Peptide Array Library approach, we defined the specificity of the Numb PTB domain which, in turn, allowed us to predict binding partners for Numb at the genome level. The combination of the protein microarray screening with computer-aided prediction produced the most expansive interactome for Numb to date, implicating Numb in regulating phosphorylation signaling through protein kinases and phosphatases. Not only does the data generated from this study provide an important resource for hypothesis-driven research to further define the function of Numb, the proteomic strategy described herein may be employed to uncover the interactome for other peptide-recognition domains whose consensus motifs are known or can be determined.


INTRODUCTION
Protein-protein interactions (PPIs) play a pivotal role in all essential cellular processes, and dysregulation of PPI may lead to diseases such as cancer 1 . Identification and characterization of the binding partners for a protein is crucial for the systematic understanding of its function. This study is focused on identifying and characterizing the interactome of Numb, originally identified for its role in asymmetric cell division [2][3][4] . At the molecular level, Numb exhibits a complex array of functions and is involved in a multitude of biological processes including ubiquitinationmediated protein degradation, endocytosis, cell adhesion, cell polarity, cell migration and tumorigenesis 5 . This wide range of roles is likely due to the ability of Numb to bind to a variety of different proteins. Accordingly, most Numb functions were uncovered through the identification of novel Numb-binding proteins. For instance, Numb was found to play a role in protein ubiquitination by directly interacting with the E3 ligase Mdm2 6 , Lnx1 7 , Itch 8 or Siah1 9 .
Numb has also been identified as an endocytic protein as it interacts with the endocytosis regulators EH, EPS15, EPS15R and AP-2 10,11 and localizes to the cytoplasmic membrane 12 .
As an adaptor protein, Numb contains a prototypical protein-protein interaction domain, the phosphotyrosine binding (PTB) domain that is evolutionarily and functionally conserved. Based on the SMART database 18,19 , there exist at least 5,208 PTB domains from 4,530 proteins across different species. In particular, the human genome encodes 46 proteins harboring 51 PTB domains. PTB domain-containing proteins are often adaptors and scaffold proteins, which organize and regulate the signaling networks involved in a wide variety of biological processes 20 .
PTB domains can be divided into three groups: IRS-1/Dok-like, Shc-like, and Dab-like 20 . The IRS-1/Dok-like and Shc-like groups bind to their ligands in a phosphotyrosine-dependent manner. The Dab-like group also recognizes tyrosine residues, but the binding is phosphorylation independent. Numb PTB is one of many PTB domains that belong to the latter group. Even though they are not directly involved in tyrosine phosphorylation mediated signaling transduction, Dab-like PTB containing proteins participate in the regulation of various cellular events such as endocytosis 21,22 , membrane protein processing 23,24 , asymmetric cell division 25 and integrin-mediated cell adhesion 26,27 .
Considering the long and continually growing list of proteins that interact with Numb, it is not surprising that Numb has been implicated in cancer as a tumor suppressor. The role of Numb in cancer has to do, in part, with its interactions with the Notch receptor and the Mdm2/p53 complex. Numb directly binds to Notch 28 and p53 29 through its PTB domain, but regulates Notch and p53 via different mechanisms. Numb promotes the internalization and subsequent degradation of cell membrane-localized Notch, thus attenuating Notch signaling in cell proliferation 13,30 . In contrast, Numb stabilizes p53 by preventing Mdm2-mediated ubiquitination and degradation of p53 31 . Both the Numb-Notch and Numb-p53 interactions bear great potential for the development of novel anti-cancer targeted therapeutics. It is conceivable that a systematic investigation of the Numb interactome would facilitate the exploration of Numb as a therapeutic target. In this regard, a number of high-throughput methods have been developed for interactome mapping. These include the affinity purification-mass spectrometry (AP-MS), the yeast twohybrid (Y2H) 32 , and the luminescence-based mammalian interactome mapping (LUMIER) 33 approaches.
We have developed an integrated peptide/protein array strategy to map the interactome of Numb, focusing on its PTB domain. Combining protein microarray screening with domain specificitybased prediction, we identified the most expansive interactome for Numb reported to date.
Intriguingly, the Numb interacome is characterized with a large number of protein kinases and phosphotases. Our work has greatly expanded the current knowledge of the Numb interactome and suggests a broad role for Numb in regulating cellular functions mediated by protein phosphorylation.

Reagents and Antibodies
The SKBR3, Hela and HCC78 cell lines were obtained from American Tissue Culture

GST-Numb-PTB protein expression, purification and biotinylation
The BL21 strain of E. coli was transformed with the pGEX6P3-dNumb-PTB, pGEX6P3-hNumb-PTB plasmids 29,34 . Positive colonies were cultured in Lysogeny Broth (LB) medium to a density of OD600 0.6~0.8, then the protein expression was induced with 0.5 mM IPTG for 16 hours at 18°C. The bacterial cells were harvested and pellets were resuspended in PBS buffer containing a cocktail of protease inhibitors (Roche, Cat. No. 04693116001). Triton X-100 was added to a final concentration of 2%, lysozyme at 1mg/ml and benzonase at 20 units/ml. The suspension was lysed on ice for 30 min. Lysates were centrifuged at 15,000 × g for 30 min at 4°C and the supernatant was collected. Purification of GST-fused proteins was performed with glutathione sepharose resin (GE Healthcare Life Sciences, Cat. No. 17075601). The sepharose was first washed with 10 bed volumes of PBS buffer. The lysate supernatant was then loaded to the resin followed by three column volume washes with PBS buffer, then eluted with 10mM glutathione in Tris buffer (50 mM Tris-HCl, pH 8.0, 100 mM NaCl) (no elution step for pulldown assays). To determine GST-protein purity, a small amount of the purified protein (or protein on resin) was boiled in SDS-sample buffer and then analyzed by SDS-PAGE followed by

ProtoArray hybridization
The ProtoArray (Human protein microarray v4.0, Invitrogen, Cat. No. PAH0524011) was removed from -20 o C and placed immediately at 4 o C for at least 15 minutes. The array was arranged barcode-side up in each well of a pre-chilled 4-chamber incubation tray. PBST Blocking buffer (1xPBS, 1% BSA, 0.1% Tween 20) was then added and the buffer immersed microarray slide was incubated for 1 hour at 4 °C with gentle rocking. The blocking buffer was then removed and the slide drained. Biotinylated protein probes (120 μL at 50 μg/ml) in probing buffer (1xPBS, 5mM MgCl2, 0.5 mM DTT, 0.05% Triton X-100, 5% Glycerol, 1% BSA) was added on top of the microarray surface and a cover glass was carefully placed on the array. The array was blotted for 90 minutes at 4 °C without shaking. The cover glass was then removed and the array was washed with the probing buffer 3 times each for 5 minutes at 4 °C. The array was visualized by incubating with 5 ml Alexa Fluor 647-conjugated streptavidin at a dilution 1:3000 in the probing buffer for 30 minutes at 4 °C in the dark. Then the array was washed again following the same procedures as above. Finally, the array was dipped into distilled water once to remove salt residues and kept in dark to air dry. The array was scanned on a microarray laser scanner (Tecan Co., Morrisville, NC). Data were analyzed using the Array-Pro analyzer software (Tecan, Co., Morrisville, NC). Z-score was calculated using the formula: (measured valueaverage value)/standard deviation. The signals corresponding to the positive and negative control dots were excluded from the Z-score calculation (see also Supplemental Table 2&3; the Z-scores are under the column "Signal Used").

Peptide and peptide array synthesis
Both free and membrane-bound peptides (spot arrays) were synthesized on an automatic Intavis AG peptide synthesizer using Fmoc (9-fluorenylmethyl-oxycarbonyl) chemistry. Rink-resin (Rink-NH2) was used to couple the first amino acid in free peptide synthesis, whereas the aminederivative cellulose membrane (cellulose-NH2) was made to couple the first amino acid by onmembrane peptide synthesis. In each synthesis cycle, the carboxyl group of a Fmoc-protected amino acid (Fmoc-AA-COOH) was first linked to the amine group of the previous amino acid (or Rink-NH2) through an amide bond. All unoccupied amine groups were then blocked (acetylated) by acetic anhydride to prevent incorrect amide bond formation in subsequent cycles.
Next, the Fmoc group was removed by piperidine (de-protection) to release the free amine group for coupling to the carboxyl group of the next amino acid residue. Fluorescein-NHS was added at the last coupling cycle to label to the peptide in free peptide synthesis. Upon completion of synthesis, the peptide spot membrane was treated with a mixture containing 47.5% TFA (trifluoroacetic acid), 1.5% TIPS (tri-isopropylsilane) and 51% H2O, to remove all remaining side-chain protecting groups. Alternatively, the free peptide-resin was incubated in a mixture containing 95% TFA, 3% TIPS and 2% H2O to deprotect side chains and cleave the peptide from Rink-resin simultaneously.

Far-Western blot of peptide array
The peptide spot array membrane was blocked with 3% BSA in TBST buffer (0.1 M Tris-HCl, pH 7.4, 150 mM NaCl, and 0.1% Tween 20) for 1 hour at room temperature, with gentle rocking.
GST-fusion proteins were added directly into the blocking buffer to reach a final concentration of 1μg/ml and incubated with the peptide array membrane for 1 hour at room temperature, with gentle shaking. The membrane was then washed in TBST buffer three times for 5 minutes each with shaking. Next, anti-GST-HRP antibody was added at 1:5000 (v/v) into 3% BSA in TBST buffer. The membrane was incubated for 1 hour at room temperature with shaking followed by the same washing procedures as above. Finally, the bound GST-protein signal was visualized using ECL and quantified by the Array-Pro analyzer software. The Z-score of a peptide spot was calculated the same way as for a protein dot on the ProtoArray.

Dissociation constant determination
The dissociation constant of a PTB-peptide interaction was determined by fluorescence polarization (FP) using fluorescein-labeled peptide (a linker, 6-aminohexanoic acid, was inserted between fluorescein and the first amino acid of the peptide). All binding assays were carried out in Tris Buffer (50 mM Tris-HCl, pH 8.0, 100 mM NaCl, 2mM DTT) and at least two independent experiments were performed for each peptide. The FP assays were carried out in 384-well flat bottom plates (Corning-3537) and the fluorescence polarization signals detected on an Envision Multilabel Plate Reader (PerkinElmer, Waltham, MA) with excitation set at 480 nM and emission at 535 nm. Binding curves were derived from fitting the isothermal titration data to a hyperbolic nonlinear regression model using Prism 3.0 (GraphPad software, Inc., San Diego, CA). The corresponding dissociation constants (Kd) was also calculated by Prism 3.0.

Consensus binding motif and scoring matrix
OPAL membranes were prepared as previous described 35 . Upon binding to the PTB domain, the OPAL membrane was scanned and the spot intensity quantified on a Bio-Rad imaging system.
To generate consensus motifs based ov mn specific binding signals, the average background signal of the membrane was subtracted from the spot signal. To minimize position-independent effect, the value for each Lys or Arg spot was readjusted by subtracting the average of the Lys or Arg in the column. A scoring matrix was derived from the average, normalized signals for each position of the peptide on two OPAL membranes 36 . The scoring matrix was then imported to SMALI and used to search the UniProt protein database 37 to generate a ranked list of potential Numb PTB domain binding peptides/proteins.

Identification of modular domain-binding proteins by complementary peptide and protein array screening
We have developed an integrative approach combining protein and peptide array screening with computer-aided ligand prediction to systematically identify the PPI network mediated by modular domains. We evaluated this approach using the Numb PTB domain. As shown in Fig. 1 Table   2&3).
Because the duplicate spots of certain proteins on the ProtoArray showed large variations in binding signal (due likely to printing defects), we included in the analysis only proteins for which the average signal over standard deviation is greater than 7.5 or Avg/Std>7.5. A Z-score was then calculated for each protein based on the corresponding Avg value. A protein was considered a positive binder when the Z ≥ 2.0 (Supplemental Figures 2&3). Using these criteria, we identified 285 candidate binding proteins for dPTB and 251 for hPTB (Supplemental Table   4&5) of which 128 were common to both domains (Fig. 2C). Intriguingly, 145/408 (>35%) of the identified PTB-binders were protein kinases (Fig. 2C&D). This number increased to >40% when the identified interactome for dPTB and hPTB was analyzed separately (Supplementary  Table 8).
The peptide spot array was probed for binding to the purified Numb PTB domain. Because the dNumb PTB domain was more stable than the mammalian counterpart 39 , we employed the GST-dPTB protein to probe the peptide array as well as in subsequent binding assays carried out in solution. An anti-GST Far-Western blot revealed that > 40% peptides on the spot array exhibited binding to the dPTB protein, albeit with large variance in the binding signal (Fig. 3A).
Intriguingly, only 19 peptides (excluding the controls) on the spot array yielded signals with a Zscore 2 (Fig. 3B). Because the peptide was 9-aa in length, including 6 residues N-terminal to the [Y/F] that are important for PTB-binding 39,44 , the spot array data suggests that the Nxx[Y/F] motif was insufficient for high-affinity PTB-binding for the majority of peptides examined or that a different region/motif in the corresponding proteins is involved in PTB-binding. To  (Table 1). These values are comparable to those observed for PTB interactions with the control peptides derived from NAK and LNX1, two known Numb PTBbinding proteins 7,25 . It is remarkable that the tyrosine kinase ALK contains three PTB-binding sites, strongly suggesting that Numb and ALK may interact in vivo. It should be noted that for peptides that showed strong binding in both the peptide spot array and in-solution binding assay, the corresponding proteins all had Z-scores greater than 3.0 on the ProtoArray (Supplementary Tables 2&3). Notwithstanding this observation, some proteins with a Z > 3.0, such as C10orf91 and BMX ( Fig. 2A), do not harbor an Nxx[Y/F] motif, suggesting that these proteins may employ a different mechanism for PTB-binding.

Validation of selected Numb-kinase interactions
To validate findings from the ProtoArray screening and peptide binding assays, we carried out GST-pulldown or co-IP experiments to examine the interaction of Numb or Numb-PTB with a selected group of RTKs. The presence of high-affinity binding sequences in ALK, ERBB2 and ROS1 suggest that these kinases may bind to Numb via the PTB domain in vivo. While Numb and ERBB2 were found to co-IP from the breast cancer cell line SK-BR3 (Fig. 4A), both the dPTB and hPTB domains were capable of pulling down ALK and ROS1 from cells expressing these proteins in oncogenic fusion forms (Fig. 4B&C). Because not all tyrosine kinases that were positive on the ProtoArray contain the Nxx[Y/F] motif, we tested the binding of a group of RTKs that do not harbor a recognizable motif. As shown in Fig. 4D-F, the tyrosine kinases FGR, RET and FLT3 were capable of binding to the Numb PTB domains despite the absence of the Nxx[Y/F] motif, suggesting that additional motifs or modes of binding exist for these proteins.
The confirmation of Numb/PTB binding to ALK, ERBB2, ROS1, FGR, RET and FLT3 in cells, all of which are oncogene products, suggest a role for Numb in cancer pathogenesis via the regulation of oncogenic tyrosine kinases.

Genome-wide prediction of Numb PTB-binding proteins
The human genome encodes approximately 20,000 proteins 45 , <50% of which were represented in the protein microarray used in the current study. Some proteins, in particular membrane proteins that are not readily amenable to expression and purification were under represented in the Protoaray. Therefore, to identify Numb-binding proteins at the genome level, we must employ alternative strategies that complement the ProtoArray screening. To this end, we developed a computational approach that allows the prediction of Numb PTB-binding proteins in silico. This approach took advantage of the ability of the Numb PTB domain to recognize sequences containing the Nxx[Y/F] motif and the computer program SMALI that was developed previously for the identification of binding ligands for modular interaction domains 36 .
Because the Nxx[Y/F] core motif is insufficient to confer high affinity binding (Fig. 2), we further defined the specificity of the Numb PTB domain using the OPAL approach 35 .
Specifically, we synthesized an OPAL membrane in which the residues N -3 and [Y 0 / F 0 ] were kept constant whereas the other residues were systematically replaced by a naturally occurring amino acid in the degenerated peptide library xxNxxF/Yxx, where x represents a mixture of 19 natural amino acids (except Cys). Probing the OPAL membrane by the dPTB domain yielded a binding pattern that was indicative of its specificity (Fig. 5A). Besides showing preference for a hydrophobic residue at the N-terminal region and proclivity for charged amino acids at the Cterminal region to the Nxx[Y/F] core motif, the PTB domain strongly selected for an Ala or Gly at the -1 position within the core motif. Inspection of dPTB in complex with the NAK peptide (GFSNMSFEDFP) 38 reveals that core motif (NMSF) adopts a -turn structure with the Ser -1 residue protruding into a small surface pocket on the PTB domain (Supplementary Figure 6).
These characteristics explain why the small residues Ala and Gly are highly preferred for this position. Indeed, replacing the Ser -1 residue with Ala led to >850 fold increase in binding affinity for the NAK peptide 39 .
Based on the OPAL binding data, a scoring matrix that reflects the residue preference for different positions of the peptide was generated (Supplementary Table 10). The scoring matrix was subsequently imported into the computer program SMALI 36 to predict candidate binding proteins for the Numb PTB domain at the genome level. To identify high probability binders, we set the cut-off score in SMALI to 1.3 according to the distribution pattern of validated binders (based on the Kd value listed in Table 1 and Supplementary Table 9) and non-binders (based on  Table 1). These data indicate that specificity-based SMALI prediction can predict binding partners with Kd values expected for interactions mediated by a PTB domain or another modular interaction domain 47,48 .

Functional analysis of the Numb interactome
Both the TKs and STKs were enriched in the Numb-binding proteins identified from the Protoarray (Fig. 2D-E and Supplementary Figure 7A). In contrast, protein phosphatases, especially tyrosine phosphatases, are enriched in proteins predicted to bind the Numb PTB domain by SMALI (Supplementary Figure 7B). If we combine data from both the ProtoArray screening and SMALI prediction, then tyrosine kinases, serine/threonine kinases and tyrosine phosphatases are the most enriched protein categories in the resulting Numb interactome (Fig.   6A). It is intriguing to note that the 42 TKs identified as Numb-binding proteins occupy essentially all branches of the human kinome phylogeny tree (Fig. 6B). Our data strongly implicates Numb in regulating the activity and/or function of tyrosine kinases via direct binding to these proteins through its PTB domain.

DISCUSSION
Mapping the PPI network in a systematic manner is key to decoding the human proteome and deciphering the function of individual proteins. In this regard, several high-throughput approaches have been developed in the past decades for PPI mapping at a large scale. These include mass spectrometry (MS) based approaches such as TAP (tandem affinity purification) and BioID, luminescence-based interactome mapping, and yeast two-hybrid (Y2H) screen 32,33,49 .
A limitation of these approaches is that they cannot provide information about the binding sites in most cases. To complement these approaches, protein and peptide array-based assays have been developed for systematic PPI identification in vitro. For example, peptide and protein arrays have been used to identify PPI networks mediated by the Src homology 2 (SH2) and 3 (SH3) domains 50,51 . Recently, we have developed a bidirectional protein-peptide array screening method to map the PPI network mediated by the SH2 domains and immunoreceptortyrosine based regulatory motifs 52 .
In this study, we developed an integrated approach combining protein microarray, peptide spot array, OPAL screening and bioinformatics analysis to identify binding partners for modular interaction domains, and applied this approach to deciphering the Numb PTB domain interactome. We focused on Numb because of its broad functions in animal development and disease pathogenesis 53 . The IntAct 54 database lists 30 Numb-interacting proteins (Supplemental Table 12). While some of these interactions are direct and may involve the PTB domain, others may be indirect or involve other regions of Numb. Furthermore, the Numb PTB domain could bind a partner through peptide motifs that are either non-phosphorylated or phosphorylated (such Nxx[Y/F] 39 and GPpY 43 ) or through domain-domain interactions 55 . It is also highly likely that additional modes of ligand binding exist for the Numb PTB domain. The multiple modes of ligand binding by the Numb PTB domain provides a rationale for the generally low re-identification rate of known binding partners from either the ProtoArray screening or SMALI prediction. Of the 11 known binding partners of Numb that were included in the Protoarray, four were identified in our screen (Supplemental Table 12). The 7 Numb-binding proteins that were missed in our protein array screen may not bind directly to Numb or its PTB domain. The SMALI prediction captured four known Numb-binding proteins (Supplemental Table 12), reflecting again that many Numb-protein interactions do not necessarily involve the PTB domain or are mediated by the Nxx[Y/F] motif.
Nevertheless, combining ProtoArray screening and specificity-based prediction, we identified an unprecedented ~900 proteins that could potentially interact with Numb. That the Numb PTB domain is capable of putatively binding to such a large number of proteins is mind-boggling.
Although stringent cut-off values (i.e., Z-score>2 or SMALI score>1.3) were applied in the identification of binding partners, it is inevitable that false positives have been included in the resulting interactome. The use of the dNumb PTB domain as the probe for array screening might have contributed to false positives. The dNumb PTB domain is more stable than its mammalian counterparts 38,39 and appears to bind more strongly than the latter to the full-length proteins tested (Fig. 3). On the other hand, the large number of binding partners may reflect the promiscuity of the PTB domain, and likely, modular domains in general. Along this line, the human genome encodes only a few dozens of PTB domains 20 , yet thousands of proteins containing the Nxx[Y/F] motif. Therefore, a given PTB domain has the potential to interact with hundreds or even more proteins containing the motif. Similarly, the identified phosphotyrosine sites far outnumber the SH2 domains encoded by the human genome, and PxxP motif-containing proteins far outnumber the SH3 domains. Therefore, it is likely that these modular domains might sample through multiple potential binding partners in the cell before a productive interaction could occur. Notwithstanding the intrinsic promiscuity of the modular domains, the specificity of modular domain-mediated protein-protein interactions in the cell may be regulated by protein expression, modification, and subcellular localization, by additional regions in the interacting pairs or by other proteins that may function as scaffolds 47 .
While further investigations are warranted to define the physiological relevance of the vast number of interactions identified in the present study, it is tempting to speculate the functions of Numb based on the expansive network of putative binding partners. Of the proteins identified from both the ProtoArray screening and SMALI prediction, protein kinases and phosphatases, especially tyrosine kinases and phosphotyrosine phosphatases, are most abundantly represented (Fig. 6A). It is rather intriguing that ~50% of all TKs are capable of binding to the Numb PTB domain (Fig. 6B), some of which contain high affinity binding motifs and/or are confirmed for binding in cells (Fig. 3). This suggests that Numb may play a general role in regulating protein phosphorylation and kinase signaling through direct interactions with multiple kinases and phosphatases. Prior to this study, Numb has been shown to interact with three RTKs, namely EphB2, TrkB and EGFR. The Numb-EphB2 interaction plays a role in ephrin-B1-induced spine development and maturation 56 . The Numb-TrkB interaction alters TrkB's chemotactic response to BDNF (brain-derived neurotrophic factor) ligand 17 . It has been shown that Numb binding decreases EGFR protein level to regulate the fate of glioblastoma stem-like cells 57 . However, little direct evidence has been provided in these studies to make the conclusion that Numb Besides, TK and PTPs, transcription factors such as TULP4 have also been identified in the putative Numb interactome. We reported previously that Numb binds to the transcriptional factor p53 through its PTB domain and the Numb-p53 interaction regulates p53 stability and the transcription of several genes involved in DNA damage response or apoptosis 58 . Nevertheless, very few nuclear binding partners have been identified for Numb to date, even though Numb can localize to the nucleus 29,40,59 . It is also not fully understood how Numb alters transcription activity at a molecular level. Given the potential for Numb to interact with a wide array of different proteins, it is possible that Numb may regulate gene transcription by directly binding to transcriptional factors.
In conclusion, we have identified the largest putative Numb interactome reported to date, revealing a general role for Numb in protein kinase signaling. Because of the pivotal role of protein kinases in tumorigenesis, our work suggests that Numb is a potential therapeutic target for cancers driven by aberrant kinase activation. Future studies focusing on elucidating the physiological relevance of the putative Numb interactome will undoubtedly shed new light on how Numb regulates different cellular processes under normal or pathological conditions.     Table 1 for peptide sequences and Kd values.   (Table 1) and non-binders (from Fig. 3A) relative to the corresponding SMALI score. The medium value for true binders and non-binders are shown. (C-I) Binding curves for representative peptides with a SMALI score > 1.3. See Table   1 for peptide sequences and Kd values.