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Published in final edited form as: Curr Opin Chem Biol. 2019 Mar 23;50:55–65. doi: 10.1016/j.cbpa.2019.02.012

Modulating Protein-Protein Interaction Networks in Protein Homeostasis

Mengqi Zhong 1,2, Gregory M Lee 1,2, Eline Sijbesma 3, Christian Ottmann 3, Michelle R Arkin 2,*
PMCID: PMC6609442  NIHMSID: NIHMS1522299  PMID: 30913483

Abstract

Protein-protein interactions (PPIs) occur in complex networks. These networks are highly dependent on cellular context and can be extensively altered in disease states such as cancer and viral infection. In recent years, there has been significant progress in developing inhibitors that target individual PPIs either orthosterically (at the interface) or allosterically. These molecules can now be used as tools to dissect PPI networks. Here, we review recent examples that highlight the use of small molecules and engineered proteins to probe PPIs within the complex networks that regulate protein homeostasis. Researchers have discovered multiple mechanisms to modulate PPIs involved in host/viral interactions, deubiquitinases, the ATPase p97/VCP, and HSP70 chaperones. However, few studies have evaluated the effect of such modulators on the target’s network or have compared the biological implications of different modulation strategies. Such studies will have an important impact on next generation therapeutics.

Introduction

Proteins function in the context of protein-protein interaction (PPI) networks. PPIs serve to regulate a protein’s activity, to scaffold multi-protein complexes, and to link enzymes to their protein substrates. Analysis of human proteomic data suggests that 20% of proteins serve as network hubs, binding to at least 24 interactors [1]. Given their importance and complexity, it is not surprising that PPI networks can be altered in disease states [24]; hence, targeting PPIs that are aberrantly formed (or not formed) could be a powerful approach to understand and treat disease. In addition, some PPIs within a network may be linked to disease, while others are homeostatic. Perhaps PPI-modulatory drugs should target subsets of a protein’s network to safely and effectively treat the disease.

The past twenty years of research have generated a diverse set of PPI inhibitors, including proteins [57] and small molecules [812] that act through orthosteric or allosteric mechanisms. Current questions can now focus on the effect of these PPI modulators on the broader networks. Do different mechanisms of PPI modulation have different biological effects? If so, are these differential effects due to functional selectivity within the PPI’s network?

This review highlights recent, illustrative examples in which small molecules and engineered proteins have targeted PPIs within protein homeostasis networks. Protein homeostasis (proteostasis) describes the dynamic equilibrium of protein expression, folding, localization, and degradation. Proteostasis is regulated by networks of PPIs, including chaperones that modulate protein folding and macromolecular assembly [1316], and the ubiquitin/proteasome system (UPS) that targets ubiquitin (Ub)-labeled proteins (Ub-clients) for degradation (Figure 1a) [17,18]. Additionally, ubiquitylation can have a regulatory (non-degradation) role. The complexity of these networks offers many opportunities to modulate PPI via different mechanisms and to examine the biological consequences.

Figure 1. Proteostasis systems are targeted by viruses.

Figure 1.

(a) Overview of the UPS. Ub ligases (green) add Ub (yellow) to client proteins (blue), which are then degraded by the proteasome. DUBs (red) remove Ub from the target protein, rescuing it from proteasomal degradation. (b) Viral PPIs (magenta) hijack normal APOBEC (blue) function. The normal function of the APOBECs is to hypermutate viral mRNA or ssDNA (green arrow). Viral proteins form PPIs with Ub ligases to either promote or inhibit APOBEC degradation. (c) The structure of IMB-301, which inhibits the HIV Vif-APOBEC PPI. See references in the main text. Abbreviations: HIV, human immunodeficiency virus; HPV, human papillomavirus; VCBC, HIV viral infectivity factor PPI complex.

Misregulated proteostasis is also important in a range of disease states, from cancer to neurodegeneration. Imbalances can lead either to premature protein degradation or to delayed degradation and hence aggregation – causing a loss of normal cellular function in both cases. Cancer cells, for example, are under proteostatic stress due to dysregulated protein synthesis and expression of mutated proteins [19]; additionally, some oncogenes are dependent on chaperones for stability [20]. In neurodegeneration, age-related decline in the protein degradation machinery leads to accumulation of damaged proteins [21]. However, even if targeting a particular aspect of the proteostasis network (e.g., one chaperone/client interaction) could be therapeutic, related homeostatic processes (the chaperone’s interaction with other clients) must be maintained. Lack of selectivity could underlie the low therapeutic index for catalytic inhibitors of central proteostatic regulators like heat-shock protein (HSP)-90 [22]. Hence, being able to selectively manipulate a node in the proteostatic network is also an important challenge for drug discovery.

2. Viral proteins hijack host PPIs to alter APOBEC fate

The interaction of the human proteostasis network with viral proteins represents a classic case of PPI-network modulation in disease. In particular, the “apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like” (APOBEC) proteins are targets of viruses (Figure 1b). The APOBECs are a family of cytidine deaminases that hypermutate viral genomes, leading to stimulation of the innate immune system [2325]. Viruses can benefit from either hyperactivating or inhibiting APOBECs: hyperactivation could lead to viral evolution and survival, while inhibition could shelter viruses from the immune system.

Several viruses hijack parts of the human proteostasis system either to upregulate or downregulate levels of human APOBECs. For instance, the cancer-causing human papillomavirus (HPV) stimulates APOBEC3A activity. The HPV E7 protein forms a complex with a human ubiquitin ligase (Ub-ligase), thereby blocking APOBEC3A binding and inhibiting its ubiquitylation and degradation [26]. Interestingly, high risk HPV genotypes (HPV16, HPV18) more efficiently stabilize APOBEC3A than low risk genotypes (HPV6, HPV11), suggesting a role for hypermutation in carcinogenesis. In contrast to HPV, human immunodeficiency virus (HIV) utilizes viral/human PPIs to inhibit APOBEC activity. The HIV viral infectivity factor (Vif) complex (VCBC) interacts with the human ubiquitin-ligase machinery to ubiquitylate and degrade several isoforms of APOBEC [27,28].

Two recent studies described small-molecule and antibody approaches to disrupt Vif-mediated APOBEC ubiquitylation/degradation. Ma et al. used virtual screening to identify IMB-301. This small molecule bound to APOBEC in vitro, disrupted the Vif/APOBEC3G PPI (Figure 1c), and restored APOBEC expression levels in HIV-infected cells [29]. Binning et al. used phage display to select fragments of antigen-binding (Fabs) that bound to VCBC and inhibited APOBEC degradation via separate pathways [30]. One Fab (1D1) bound to Vif at the Vif/Ub-ligase interface, breaking up the complex and inhibiting both ubiquitylation and virion packaging of multiple APOBEC isoforms. The other Fab (3C9) bound to Vif in the intact Vif/ligase/APOBEC complex and selectively inhibited APOBEC3F degradation, but allowed the complex to be packaged into the virion. These studies clearly demonstrated that small molecules and antibody fragments could alter APOBEC degradation by different mechanisms. More broadly, viral proteins exploit the host proteostasis networks to create new PPIs with unique properties; by manipulating only these neocomplexes, one might selectively treat viral infection.

3. DUB inhibition leads to degradation of oncogenes and stabilization of tumor suppressors

Ub-dependent degradation is rescued by deubiquitinases (DUBs), proteases that selectively remove Ub from Ub-client conjugates. Inhibition of specific DUBs could have therapeutic benefit in cancer, but the tumor context is critical. For instance, wild-type p53 is a tumor suppressor, but some mutants of p53 gain oncogenic properties and/or lose tumor-suppressor function [31]. Thus, either raising or lowering the levels of p53 may be therapeutic, depending on its mutational state. The ubiquitin-specific protease 7 (USP7) is a negative regulator of p53. USP7 removes Ub from MDM2, a Ub-ligase that ubiquitylates - and thus signals the degradation of - p53. Therefore, inhibition of USP7 should cause degradation of MDM2, which, in turn, should increase the stability of p53 and suppress cancer progression in tumors with wild-type p53 (Figure 2a). On the other hand, USP10, a p53 deubiquitinase, serves as a positive regulator of p53; inhibition of USP10 could suppress cancer by degrading oncogenic p53 mutants (Figure 2b)[32].

Figure 2. Examples of modulating the Ub-ligase/deubiquitinase network in cancer.

Figure 2.

(a) USP7 functions as a positive regulator of tumor suppressor p53 by deubiquitylating MDM2 (top). Inhibition of USP7 should destabilize MDM2, causing an upregulation of p53 and hence tumor suppression (bottom). (b) USP10 deubiquitylates wild-type and oncogenic mutant p53 (top). Inhibition of USP10 increases the turnover of both wild-type and mutant p53 and prevents cancer progression in p53-mutant-driven cancer cells (bottom). (c) Illustration of allosteric small molecules binding to the USP7 catalytic domain. Ubiquitin (yellow cartoon) binds to USP7 (grey) at a broad, dynamic interface (red circle) with its C-terminus inserted into a catalytic pocket, and induces USP7 to adopt an active conformation (left, PDB 1NBF). Representative small molecules (sticks) overlaid on an inactive form of USP7 (right, PDB 5N9R). GNE6640 (blue, PDB 5UQV), FT671 (cyan, PDB 5NGE), and compound 5 (green, 5N9T) bind at distal regions from the Ub-binding interface, forcing USP7 to adopt an inactive conformation that sterically occludes ubiquitin binding. The catalytic Cys223 is highlighted. (d) Left panel: recent examples of USP7 inhibitors that are discussed in this review. Right panel: examples of other DUB inhibitors (right, more details see [17]).

DUBs recognize specific Ub-client conjugates, but their Ub-binding domains are well conserved [33,34]. To systematically dissect the role of DUBs, researchers have developed orthosteric inhibitors based on the Ub scaffold. Ubiquitin binds weakly to DUBs, with dissociation constants in the range of 100 μM. Using phage display and computational design, Corn and coworkers engineered a Ub variant that tightly and specifically bound to USP7 (KD ~ 60 nM), leading to stabilization of p53 in cells [35,36]. Using a similar strategy, Sidhu and coworkers developed both positive and negative regulators of p53 by selectively targeting USP7 and USP10[32]. As predicted, inhibition of USP7 caused a net upregulation of wild type p53, while inhibition of USP10 led to nuclear export and degradation of p53 in cancer cells [32]. In another study, Gorelik, et al. developed Ub variants that suppressed Ub-ligase activity by preventing the assembly of an E3 ligase complex, leading to the stabilization of the downstream substrates (e.g. cyclin E and c-Myc) [37]. In these and additional studies [5,6,38], the ubiquitin scaffold was demonstrated to be a versatile tool to inhibit Ub/enzyme complexes and test the biological functions of particular DUBs and Ub-ligases.

Translating this information into small-molecule drug discovery has been challenging, but there has been impressive progress in the past three years. Difficulty with targeting USPs was attributed to the flat Ub-binding surfaces of the USPs and the observation that many unbound enzymes were in an inactive conformation, where the active site was closed and the catalytic cysteine in an unfavorable position to bind covalent inhibitors [34]. Among the DUBs, USP7 has received the most attention due to its role in regulating turnover of p53 (vide supra). Recent successes have inhibited USP7 with good selectivity and potency by stabilizing its inactive conformation, thereby preventing Ub binding and/or inhibiting catalysis (Figures 2c)[3941]. Cell-active USP7 inhibitors demonstrate the expected activities of lowering MDM2 levels and reactivating p53. USP10 is another emerging target. Weisberg et al. have performed a phenotypic screen and identified compounds originally discovered for USP7 that inhibit USP10 and induce degradation of the oncogenic kinase FLT3 [42]. Based on these observations, it would be valuable to compare/contrast the biological outcomes of inhibiting USP7 and USP10 with Ub-variants and small molecules, especially in terms of selectivity and generating resistance. Other USPs have also recently been inhibited by small molecules with various mechanisms. As predicted, cell-active USP inhibitors induce hyper-ubiquitylation and subsequent degradation of cognate oncogenes, including MDM2 (a USP7 substrate)[3941,4346][47]. Flt3 (a USP10 substrate)[42], c-Myc (a USP28 substrate) [48](Figures 2d)[17,49,50]. Excitingly, the tools and strategies are now in place to validate specific Ub-client/enzyme complexes as well as identify novel substrates in the Ub ligase/DUB networks.

4. p97 inhibitors block protein degradation and alter p97/adaptor complexes

The “ATPases Associated with diverse cellular Activity” (AAA) enzymes are molecular machines that convert the energy of ATP hydrolysis into work, such as protein unfolding and membrane remodeling. The AAA enzyme p97, for example, prepares Ub-clients for degradation by extracting them from protein complexes and membranes, initiating protein unfolding through the enzyme’s central pore [5156], and remodeling membranes such as the autophagosome and golgi [52,57]. p97 is a therapeutic target for cancer, largely due to its role in endoplasmic-reticulum associated degradation (ERAD), which is commonly upregulated in cancer cells due to ongoing proteotoxic stress[55,58]. Point mutations in p97 also cause a disease called Multisystem Proteinopathy 1 (MSP1) [59].

To accomplish its many functions, p97 binds to a set of adaptor proteins that link the enzyme to various clients and subcellular locations. ATP hydrolysis induces changes in p97 conformation that alter the binding of these adaptor proteins [53,6066]. Hence, p97 functions are governed by PPIs, which are in turn altered by ATPase-dependent changes in p97 conformation. This linkage provides diverse opportunities to modulate p97 function with small molecules. As with other central proteins in the proteostasis network, therapeutic inhibitors may need to spare some p97-dependent functions to maintain healthy proteostasis. In the case of MSP1, cells show proteostatic derangements suggesting both loss-of-function and gain-of-function changes, leading to the hypothesis that the disease should be treated with small-molecule ‘normalizers’ of p97 [67], rather than pure inhibitors or activators.

Several classes of p97 ATPase inhibitors have been reported [58,6871]. Interestingly, these inhibitors vary in their enzymatic mechanisms and binding sites (Figure 3), and it is enticing to consider whether these mechanistic differences lead to changes in biological effects. Among the most potent inhibitors are the ATP-competitive inhibitors ML240 [72] and CB-5083 [58,68] and the allosteric inhibitors NMS-873 [69] and UPCDC-30245 [70,71]. These compounds have not been exhaustively compared to each other, but some mechanistic similarities and differences are emerging. NMS-873, ML240, and CB-5083 each show strong inhibition of Ub-client degradation and stimulation of the unfolded protein response in cells, consistent with inhibition of ERAD [58,69]. Other p97-dependent functions seem to be differently altered; for instance, these same compounds show different effects on cell cycle and autophagy [58,69,73]. In biochemical assays, ML240 loses inhibitory activity in the presence of the adaptor protein p47, whereas NMS-873 is insensitive to the binding of p47 to p97 [74]. Additional cellular and biochemical studies are needed to connect the compounds’ mechanism of inhibition to their modulation of cellular functions.

Figure 3. Examples of p97 small molecule inhibitors.

Figure 3.

The center cartoon shows the domain structure of p97, with arrows pointing to the binding sites for allosteric and ATP-competitive inhibitors. Each monomer in the p97 hexamer has three folded domains: the N-terminal PPI domain (purple), the D1 ATPase domain (orange), and the D2 ATPase domain (blue). Competitive inhibitors ML240 and CB5083 (left panel) bind at the ATP-binding pocket of p97 D2 domain (light blue). Inhibitors UPCDC30245 and NMS-873 (right panel) bind at allosteric sites in the D2 ATPase domain, near the D1-D2 linker region (red). The binding site for allosteric inhibitors has been defined by cross-linking, resistant mutants, and cryo-EM. See references in the main text.

To learn how catalytic inhibitors alter the p97 PPI network, two proteomics studies have measured the binding of adaptor proteins to p97 in the presence and absence of NMS-873 [75,76]. By immunoprecipitation and mass spectrometry, Her, et al. [75] and Xue, et al. [76] showed that NMS-873 reduces binding of some adaptors (e.g. SAKS1 and Erasin), while others are unaffected (e.g. p37 and p47) and several others are increased (e.g., NPL4/UFD1 and FAF1). The dimeric adaptor NPL4/UFD1 (NU) is particularly interesting because it is central to p97’s unfoldase activity.

Increased binding in the presence of NMS-873 could be due to allosteric stabilization of the p97/NU complex or to the inhibition of unfoldase activity, which could result in the stabilization of trapped p97/NU/Ub-client complexes. Formation of trapped NU complexes and reduction in p97/Erasin complexes are both consistent with NMS-873-mediated inhibition of ERAD. These proteomic data provide initial insight into allosteric PPI modulation and pose a number of interesting questions. For instance, do all ATPase inhibitors alter the PPI network in the same way, or are there mechanistic differences? Can these alterations in PPI be modeled using biochemically defined systems? Development of function-specific modulators will require an iterative evaluation of p97 function and PPI-complex formation in vitro and in cells. As a first step, Chou, et al. have screened a set of ML240/CB-5083 analogs in the presence of p47 and NU, seeking to select p97 inhibitors that act in the context of particular protein complexes [74]. While this compound set did not yield adaptor-selective inhibitors, extending these approaches may provide novel, PPI-dependent inhibitors that could be used to dissect the p97/PPI functional network in the context of cancer and degenerative disease.

5. The Heat Shock Protein 70 (HSP70) network provides many avenues for small-molecule modulation

HSP70 chaperones help maintain proteostasis by stabilizing folding-competent clients or shuttling misfolded proteins to be degraded (Figure 4a). The HSP70 family associates with co-chaperones such as J-proteins (HSP40s), tetratricopeptide repeat (TPR) proteins (including HSP70-HSP90 organizing protein, or HOP), HSP90, and nucleotide exchange factors (NEFs). HSP70 undergoes dramatic conformational changes during its ATPase cycle (see reviews [15,77]), leading to binding and release of client proteins, J-proteins and NEFs. Modulating any of these PPIs would affect ATPase cycle turnover, and therefore could act as checkpoints in altering HSP functions.

Figure 4. Multiple approaches to targeting the chaperone HSP70.

Figure 4.

(a) The HSP70 catalytic cycle offers several opportunities for inhibition. HSP70 is shown schematically in light blue, with potential sites of inhibition in light gray. J-proteins (orange) help deliver client proteins (red) to the HSP70 substrate-binding domain (SBD) and accelerate ATP hydrolysis. The HSP70 LID domain adopts an “open” conformation in its ATP-bound state, and a “closed” position in its ADP-bound state (gray dots). The nucleotide exchange factors (NEFs; light yellow) are involved with ADP exchange, thereby helping release client proteins from the network. HSP70 also transfers protein substrates for further processing and refolding to HSP90 (yellow) via an interaction with HOP (black). (b) Examples of HSP70 PPI inhibitors targeting various checkpoints. See references in the main text. Abbreviations: HOP, HSP70-HSP90 organizing protein; LID, LID domain; NBD, nucleotide binding domain; NEF, nuclear exchange factor; SBD, substrate binding domain.

Members of the HSP family are frequently overexpressed under stress conditions and may serve as biomarkers of disease states [78]; furthermore, HSP70 can be beneficial or disease-associated. In neurodegenerative diseases, HSP70 plays a neuroprotective role by interacting with intrinsically unstructured proteins that are prone to aggregation (see reviews [79,80]). In cancer, HSP70 binding can stabilize and thereby activate oncogenes (see reviews [81,82]). There is also evidence for chaperone-PPI rewiring in cancers: Rodina et al., define an “epichaperome” containing large complexes including HSP70, HSP90, and their co-chaperones [83]. The presence of this epichaperome correlates with sensitivity to HSP90 inhibitors, independent of the abundance of HSP90. Together, these data suggest that modulating particular complexes within HSP90 and HSP70 networks is a potentially powerful therapeutic strategy [11].

To develop a chemical toolbox for HSP70, Gestwicki and coworkers have reported allosteric PPI modulators that target multiple HSP70 sites (Figure 4b), offering an alternative approach to existing ATP-competitive inhibitors such as VER-155008 [84]. In particular, a series of optimized benzothiazole rhodacyanine compounds (JG-231, JG-294, and JG-237) that bind near the nucleotide binding site were reported to allosterically disrupt HSP70-NEF PPIs by “rigidly stopping” concerted motion within HSP70 [85,86]. Additionally, a de novo high throughput screen yielded two scaffolds that inhibited either the HSP70/DnaJA2 or HSP70/NEF PPIs. The HSP70/NEF inhibitor (IT2-144) blocked refolding of a model client using multiple NEF variants in combination with HSP70 in a nucleotide-independent manner similar to JG-231 [87]. Peptide-based inhibitors that modulated HSP70-HOP PPIs via two separate mechanisms were also reported [88]. One peptide (C1) stabilized HSP70-HOP binding, trapping HSP70 in a complex that inhibited protein folding. A second series of peptides (S7, S8) inhibited HSP70-HOP PPIs, thereby preventing formation of the protein-folding complex. Taken together, these molecules suggest that different modes of binding to HSP70 may have different biochemical and biological effects.

Recent efforts have focused on the importance of HSP70 in stabilizing androgen receptors (ARs) in prostate cancer. Increased levels of full-length AR and AR-V7, a constitutively active splice variant that lacks the C-terminal, androgen-binding domain, were correlated with poor prognosis in castration-resistant prostate cancer (CRPC) patients. AR-V7 is particularly problematic because approved prostate cancer therapies, like enzalutamide (Figure 4b), block production or binding of the androgen hormone [89]. Hence, cancers expressing AR-V7 are resistant to current therapies. Proteomic approaches indicate that HSP70 binds similarly to both AR and AR-V7 in multiple CPRC cell lines [90,91]. Treatment with either VER-155008 or quercetin (Figure 4b), an inhibitor of HSP70 expression, reduced both AR-FL and AR-V7 levels in LNCaP95 cells [90]. Disruption of the HSP70/J-protein activity using compounds that bind to either HSP40 (C86) or HSP70 (JG-98) also led to destabilization and reduced transcriptional activity of AR-FL and AR-V7 in 22Rv1 cells [92]. A detailed dissection of the HSP70/AR PPI pinpointed the interaction to be centered at the N-terminal domain of AR, explaining why inhibition of HSP70 reduces transactivation of both AR variants [91]. Thus, multiple modes of HSP70 inhibition were effective at reducing AR in CRPC. Despite the demonstrated importance of HSP70 in cancer, catalytic HSP70 inhibitors have so far not been effective in human clinical trials. Further studies could determine whether inhibitors that target selective HSP70 PPI, e.g., by blocking interactions with J-proteins or with clients directly, show improved therapeutic index compared to ATPase inhibitors.

6. Conclusions and Outlook

Modulating PPIs with drug-like molecules had been akin to the holy grail in drug discovery; however, the field has matured significantly in the past several years. In the small-molecule realm, there are now numerous examples of orthosteric and allosteric inhibitors of PPIs. For protein therapeutics, there are emerging technologies for transporting recombinant proteins/antibodies into cells, which would open up this therapeutic modality for intracellular PPIs [5]. Taken together, we conclude that existing and emerging technologies are enabling drug discovery for PPIs.

The field is now progressing into a compelling new phase, where the tools exist to address complex questions concerning mechanisms of inhibition and proteome-wide effects of PPI modulation. As highlighted here, there are now multiple small-molecule and protein-based inhibitors targeting hub proteins such as APOBEC, deubiquitinases, p97, and HSP70. These inhibitors have different modes of binding and could therefore show distinct mechanisms of action in cells and animals. Future work will systematically compare the effects of inhibitory mechanisms on functional specificity, toxicity, and mechanisms of resistance, so that the best therapeutic modality can be selected for a given clinical indication. Additionally, proteomic approaches allow researchers to evaluate the effect of an inhibitor on the broader PPI network. Finally, while this review has focused on inhibitors, the development of PPI stabilizers - using bivalent antibodies and small-molecule ‘molecular glues’ - is gaining traction. Together, these developments will yield next generation therapeutics that selectively and effectively modulate PPI networks.

Acknowledgements

The authors wish to acknowledge Dr. John Kenneth Morrow for helpful discussions of the manuscript. Funding was provided by the National Institutes of Health (GM130145-01) and The Ono Pharma Foundation Breakthrough Award.

Footnotes

Conflict of Interest

Nothing declared.

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