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Schapira, M.

Publications and source records attributed to Schapira, M..

At least 19 recordsLinked to original sources

Chemically induced USP21-KLHL12 association recruits USP21 to COPII assembly

Ubiquitin-specific protease 21 (USP21) is a deubiquitinase implicated in various biological processes and disease states, including cancer. To better understand USP21 protein interaction networks, we used biotin identification proximity labeling, and uncovered USP21 interactions with the cytoskeleton, endosomal, and transcriptional regulators. Notably, a subset of these interactions was modulated by the USP21 selective inhibitor BAY-805. In cells, BAY-805 promoted proximity between USP21 and Kelch like protein KLHL12, a component of the Cullin3 ligase complex. Structural modeling using AlphaFold3, together with hydrogen deuterium exchange mass spectrometry, identified an orthosteric BAY-805 binding site within USP21. Binding of BAY-805 functionally competes with ubiquitin at USP21, thereby enabling USP21 interaction with KLHL12. This BAY-805 induced proximity elicited relocalization of USP21 to KLHL12 containing coat protein complex II (COPII) vesicles. Induced USP21-KLHL12 association led to enlargement of COPII vesicles and impaired transport of large cargoes such as collagen. Overall, our findings reveal a novel chemically induced proximity mechanism in which the monovalent ligand BAY-805 outcompetes ubiquitin from USP21, thereby recruiting USP21 to KLHL12 associated protein complexes.

cell biology↗

Identification and Characterization of a Small Molecule Ligand for the Huntingtin-HAP40 Complex

Huntingtons disease (HD) is caused by a CAG repeat expansion mutation, giving rise to a polyglutamine expansion in the huntingtin (HTT). However, the explicit molecular functions of HTT and opportunities for direct pharmacological modulation remain incompletely understood. Here, we report the discovery of a small molecule ligand for the full-length HTT protein in complex with its partner, HAP40. Using affinity selection mass spectrometry (AS-MS), we identified a stereoselective binder, whose binding was characterized by surface plasmon resonance, hydrogen-deuterium exchange mass spectrometry, and cryo-electron microscopy at 2.3 [A] resolution. The ligand binds HTT-HAP40 in vitro with single-digit micromolar affinity and one-to-one stoichiometry at a druggable interface previously predicted computationally. In silico studies predicted and experimental analyses confirmed the (R)-enantiomer as the eutomer and initial structure activity relationship was established experimentally. This work details a structurally-validated chemical scaffold and highlights a ligandable pocket which could enable development of chemical probes for probing HTT biology, as well as therapeutics such as degraders and imaging agents for HD.

pharmacology and toxicology↗

Development of a dual chemical probe for the USP16 and HDAC6 zinc-finger ubiquitin-binding domain

Ubiquitin-specific peptidase 16 (USP16) is a deubiquitinase that specifically cleaves ubiquitin from histone H2A, and modulates gene expression, cell cycle regulation, and various other cellular processes. The USP16 zinc-finger ubiquitin-binding domain (UBD) binds the free C-terminal end of both ubiquitin and ISG15, two major signaling proteins that mediate many biological pathways. Because the precise function of USP16-UBD and its interactions remains unclear, a small molecule antagonist targeting the USP16-UBD could enable cellular studies to elucidate its biological role. Here we report SGC-UBD1031 (15), a chemical probe targeting USP16-UBD with similar in vitro binding profiles to HDAC6-UBD and selectivity over nine other UBDs. In cellular assays, 15 disrupts the interaction between the C-terminus of ISG15 and USP1-UBD, as well as the interaction between ISG15 and HDAC6 UBD, at a concentration of 1 M. The corresponding enantiomer SGC-UBD1031N (16), does not interfere with these interactions, even at concentrations as high as 30 M, and thus serves as a negative control. Table of Contents graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=117 SRC="FIGDIR/small/684218v2_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@50def6org.highwire.dtl.DTLVardef@15dedc4org.highwire.dtl.DTLVardef@1a50169org.highwire.dtl.DTLVardef@1ffbb4b_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

Structure-based discovery of inhibitors of Mac1 domain of nonstructural protein-3 of SARS-CoV-2 by machine learning-augmented screening of chemical space

Significant efforts have been recently dedicated to the discovery of small molecule inhibitors against the Macrodomain 1 (Mac1) of nonstructural protein 3 (NSP3) as potential antivirals for SARS-CoV-2. Thus, Mac1 has also been selected as the target for the Critical Assessment of Hit-finding Experiments (CACHE) challenge #3. As contestants in that challenge, we developed a computational strategy that ranked on the top among all 23 participants in the competition and resulted in the discovery of a novel chemical series of non-charged Mac1 inhibitors. Those have been identified through the combination of machine learning-accelerated virtual screening of Enamine REAL Diversity Subset of approximately 25 million compounds and consequent hit expansion into the entire Enamine REAL Space library. In particular, the initially identified hit compound CACHE3-HI_1706_56 (KD = 20 {micro}M) was explored by probing 17 close analogues from a library of 44 billion molecules from the Enamine REAL. All those analogues effectively displaced the Mac1-binding ADP-ribose peptide, and 12 were confirmed to engage with Mac1 by the Surface Plasmon Resonance experiments, revealing a new chemical series of compounds for hit-to-lead optimization. The structure of the CACHE3-HI_1706_56-Mac1 complex was further determined at high resolution with crystallography, confirming initial computational predictions. Our results illustrate the effectiveness of ML-accelerated docking to rapidly identify novel chemical series and provide a strong foundation for the development of SARS-CoV-2 NSP3 Mac1 inhibitors.

biophysics↗

k-Nearest Neighbour Adaptive Sampling (kNN-AS), a Simple Tool to Efficiently Explore Conformational Space

Molecular dynamics (MD) simulations are computationally expensive, a limiting factor when simulating biomolecular systems. Adaptive sampling approaches can accelerate the exploration of conformational space by running repeated short MD simulations from well-chosen starting points. Existing approaches to adaptive sampling have been optimized to either guide sampling in a desired direction or explore well-formed convex spaces. Here, we describe a novel adaptive sampling algorithm that leverages a k-nearest neighbour (k-NN) graph of the sampled conformational space to preferentially launch explorations from boundary states. We term this approach k-Nearest Neighbor Adaptive Sampling (kNN-AS) and show it has state-of-the-art performance on simple and complex artificial energy functions and generalizes well on a protein test case. Implementation of kNN-AS is light, simple and better suited to complex real-world applications where the dimension and shape of the energy landscape is unknown.

bioinformatics↗

Enantioselective Protein Affinity Selection Mass Spectrometry (EAS-MS)

We report an enantioselective protein affinity selection mass spectrometry screening approach (E-ASMS) that enables the detection of weak binders, informs on selectivity, and generates orthogonal confirmation of binding. After method development with control proteins, we screened 31 human proteins against a designed library of 8,210 chiral compounds. 16 binders to 12 targets, including many proteins predicted to be "challenging to ligand", were discovered and confirmed in orthogonal biophysical assays. 7 binders to 6 targets bound in an enantioselective manner, with KD values ranging from 3 to 20 {micro}M. Binders for four targets (DDB1, WDR91, WDR55, and HAT1) were selected for in-depth characterization using X-ray crystallography. In all four cases, the mechanism for enantioselectivity was readily explained. We conclude E-ASMS can be used to identify and characterize selective and weakly-binding ligands for novel protein targets with unprecedented throughput and sensitivity.

pharmacology and toxicology↗

Chemical Coverage of the Human Reactome

Chemical probes and chemogenomic compounds are valuable tools to link gene to phenotype, explore human biology and uncover novel targets for precision medicine. A growing federation of scientists is contributing to the mission of Target 2035 - discovering chemical tools for all druggable human proteins by the year 2035. It is expected that these compounds will enable the understanding of the regulation of cellular machineries and biological processes across the compendium of signaling pathways that animate cellular life. Here, we draw a landscape of the current chemical coverage of the human Reactome. We find that even though available chemical probes and chemogenomic compounds are targeting only 3% of the human proteome, they cover 53% of the human Reactome, due to the fact that 46% of human proteins are involved in more than one cellular pathway. As such, existing chemical probes and chemogenomic compounds already represent a versatile toolkit to manipulate a vast portion of human biology. Pathways targeted by existing drugs may be enriched in unknown but valid drug targets and could be prioritized in future Target 2035 efforts.

bioinformatics↗

A resource to enable chemical biology and drug discovery of WDR Proteins

Protein class-focused drug discovery has a long and successful history in pharmaceutical research, yet most members of druggable protein families remain unliganded, often for practical reasons. Here we combined experiment and computation to enable discovery of ligands for WD40 repeat (WDR) proteins, one of the largest human protein families. This resource includes expression clones, purification protocols, and a comprehensive assessment of the druggability for hundreds of WDR proteins. We solved 21 high resolution crystal structures, and have made available a suite of biophysical, biochemical, and cellular assays to facilitate the discovery and characterization of small molecule ligands. To this end, we use the resource in a hit-finding pilot involving DNA-encoded library (DEL) selection followed by machine learning (ML). This led to the discovery of first-in-class, drug-like ligands for 9 of 20 targets. This result demonstrates the broad ligandability of WDRs. This extensive resource of reagents and knowledge will enable further discovery of chemical tools and potential therapeutics for this important class of proteins.

biochemistry↗

Drug Discovery in Low Data Regimes: Leveraging a Computational Pipeline for the Discovery of Novel SARS-CoV-2 Nsp14-MTase Inhibitors

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has led to significant global morbidity and mortality. A crucial viral protein, the non-structural protein 14 (nsp14), catalyzes the methylation of viral RNA and plays a critical role in viral genome replication and transcription. Due to the low mutation rate in the nsp region among various SARS-CoV-2 variants, nsp14 has emerged as a promising therapeutic target. However, discovering potential inhibitors remains a challenge. In this work, we introduce a computational pipeline for the rapid and efficient identification of potential nsp14 inhibitors by leveraging virtual screening and the NCI open compound collection, which contains 250,000 freely available molecules for researchers worldwide. The introduced pipeline provides a cost-effective and efficient approach for early-stage drug discovery by allowing researchers to evaluate promising molecules without incurring synthesis expenses. Our pipeline successfully identified seven promising candidates after experimentally validating only 40 compounds. Notably, we discovered NSC620333, a compound that exhibits a strong binding affinity to nsp14 with a dissociation constant of 427 {+/-} 84 nM. In addition, we gained new insights into the structure and function of this protein through molecular dynamics simulations. We identified new conformational states of the protein and determined that residues Phe367, Tyr368, and Gln354 within the binding pocket serve as stabilizing residues for novel ligand interactions. We also found that metal coordination complexes are crucial for the overall function of the binding pocket. Lastly, we present the solved crystal structure of the nsp14-MTase complexed with SS148 (PDB:8BWU), a potent inhibitor of methyltransferase activity at the nanomolar level (IC50 value of 70 {+/-} 6 nM). Our computational pipeline accurately predicted the binding pose of SS148, demonstrating its effectiveness and potential in accelerating drug discovery efforts against SARS-CoV-2 and other emerging viruses.

biochemistry↗

Benchmarking PROTAC docking and virtual screening tools

Proteolysis targeting chimeras (PROTACs) are bifunctional compounds that recruit an E3 ligase to a target protein to induce ubiquitination and degradation of the target and are pioneer molecules in the field of proximity pharmacology. Rational PROTAC design is a challenging process and novel computational tools have emerged that attempt to predict the ternary complexes created by PROTACs and identify PROTAC candidates. To compare the performance of recent PROTAC design and screening methods, a benchmark was developed to test the ability of these tools to 1) predict the ternary complexes observed in crystal structures and 2) dissociate active from inactive PROTACs. Unlike traditional protein-protein complex prediction software, the PROTAC virtual screening methods often generate successfully PROTAC-induced protein complex structures observed crystallographically, but these experimentally validated predictions are not dissociated from dozens or more of other predicted structures. PROTAC virtual screening efficiency is unclear and highly variable, in part due to the limited size of experimental datasets and the low number of negative controls. Defining ubiquitination zones within cullin-RING complexes does not improve predictions, but conformational arrangements can sometimes be found that are exclusively associated with active PROTACs. Computer assisted PROTAC design is still in its infancy. Pioneering tools highlight the promises and challenges in the field and may be more valuable when guided by clear structural and biophysical data and validated on specific chemical series.

bioinformatics↗

Small molecule screen identifies non-catalytic USP3 chemical handle

Zinc-finger ubiquitin binding domains (ZnF-UBDs) are non-catalytic domains mostly found in deubiquitylases (DUBs). They represent an underexplored opportunity for the development of deubiquitylase-targeting chimeras (DUBTACs) to pharmacologically induce the deubiquitination of target proteins. We have previously shown that ZnF-UBDs are ligandable domains. Here, a focused small molecule library screen against a panel of eleven ZnF-UBDs led to the identification of 59, a ligand engaging the ZnF-UBD of USP3 with a KD of 14 {micro}M. The compound binds the expected C-terminal ubiquitin binding pocket of USP3 as shown by hydrogen-deuterium exchange mass spectrometry experiments and does not inhibit the cleavage of K48-linked di-ubiquitin by USP3. As such this compound could serve as a chemical starting point to develop bifunctional DUBTACs recruiting USP3 for targeted deubiquitination. Table of contents graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=93 SRC="FIGDIR/small/530657v3_ufig1.gif" ALT="Figure 1"> View larger version (17K): org.highwire.dtl.DTLVardef@d4e702org.highwire.dtl.DTLVardef@18a506dorg.highwire.dtl.DTLVardef@1a64ef4org.highwire.dtl.DTLVardef@1898461_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

Discovery and characterization of a chemical probe targeting the zinc-finger ubiquitin-binding domain of HDAC6

Histone deacetylase 6 (HDAC6) inhibition is an attractive strategy for treating numerous cancers, and HDAC6 catalytic inhibitors are currently in clinical trials. The HDAC6 zinc-finger ubiquitin-binding domain (UBD) binds free C-terminal diglycine motifs of unanchored ubiquitin polymer chains and protein aggregates, playing an important role in autophagy and aggresome assembly. However, targeting this domain with small molecule antagonists remains an underdeveloped avenue of HDAC6-focused drug discovery. We report SGC-UBD253 (25), a chemical probe potently targeting HDAC6-UBD in vitro with selectivity over nine other UBDs, except for weak USP16 binding. In cells, 25 is an effective antagonist of HDAC6-UBD at 1 {micro}M, with marked proteome-wide selectivity. We identified SGC-UBD253N (32), a methylated derivative of 25 which is 300-fold less active, serving as a negative control. Together, 25 and 32 could enable further exploration of the biological function of the HDAC6 UBD and investigation of the therapeutic potential of targeting this domain.

pharmacology and toxicology↗

A chemical probe to modulate human GID4 Pro/N-degron interactions

The CTLH complex is a multi-subunit ubiquitin ligase complex that recognizes substrates with Pro/N-degrons via the substrate receptor GID4. Recently, focus has turned to this complex as a potential mediator of targeted protein degradation, but the role GID4-mediated substrate ubiquitylation and proteasomal degradation plays in humans has thus far remained unclear. Here, we report PFI-7, a potent, selective, and cell-active chemical probe that antagonizes Pro/N-degron binding to human GID4. Use of PFI-7 in proximity-dependent biotinylation enabled the identification of dozens of endogenous GID4-interacting proteins that bind via the GID4 substrate binding pocket, only a subset of which possess canonical Pro/N-degron sequences. GID4 interactors are enriched for nuclear and nucleolar proteins including RNA helicases. GID4 antagonism by PFI-7 altered protein levels of several proteins including RNA helicases as measured by label-free quantitative proteomics, defining proteins that are regulated by GID4 and the CTLH complex in humans. Interactions with GID4 via Pro/N-degron pathway did not result in proteasomal degradation, demonstrating that CTLH interactors are regulated through a combination of degradative and non-degradative functions. The lack of degradation of GID4 interactors highlights potential challenges in utilizing GID4-recruiting bifunctional molecules for targeted protein degradation. Going forward, PFI-7 will be a valuable research tool for defining CTLH complex biology and honing targeted protein degradation strategies.

molecular biology↗

RAS and PP2A activities converge on epigenetic gene regulation

RAS-mediated human cell transformation requires inhibition of the tumor suppressor Protein Phosphatase 2A (PP2A). Both RAS and PP2A mediate their effects by phosphoregulation, but phosphoprotein targets and cellular processes in which RAS and PP2A activities converge in human cancers have not been systematically analyzed. Here, based on mass spectrometry phosphoproteome data we discover that phosphosites co-regulated by RAS and PP2A are enriched on proteins involved in epigenetic gene regulation. As examples, RAS and PP2A co-regulate the same phosphorylation sites on HDAC1/2, KDM1A, MTA1/2, RNF168 and TP53BP1. Mechanistically, we validate co-regulation of NuRD chromatin repressor complex by RAS and PP2A. Consistent with their known synergistic effects in cancer, RAS activation and PP2A inhibition resulted in epigenetic reporter de-repression and activation of oncogenic transcription. Notably, transcriptional de-repression by PP2A inhibition was associated with increased euchromatin and decrease in global DNA methylation. Further, targeting of RAS- and PP2A-regulated epigenetic proteins decreased viability of KRAS-mutant human lung cancer cells. Collectively the results indicate that epigenetic protein complexes involved in oncogenic gene expression constitute a significant point of convergence for RAS hyperactivity and PP2A inhibition in cancer. Further, the results provide a rich source for future understanding of phosphorylation as a previously unappreciated layer of regulation of epigenetic gene regulation in cancer, and in other RAS/PP2A-regulated cellular processes.

cancer biology↗

A combinatorial anticancer drug screen identifies off-target effects of epigenetic chemical probes

Anticancer drug response is determined by genetic and epigenetic mechanisms. To identify the epigenetic regulators of anticancer drug response, we conducted a chemical epigenetics screen using chemical probes that target different epigenetic modulators. In this screen, we tested 31 epigenetic probes in combination with 14 mechanistically diverse anticancer agents and identified 8 epigenetic probes that significantly potentiate the cytotoxicity of TAK-243, a first-in-class ubiquitin-activating enzyme (UBA1) inhibitor evaluated in several solid and hematologic malignancies. These probes are TP-472, GSK-864, A-196, UNC1999, SGC-CBP30 and PFI-4 (and its related analogs GSK6853 and GSK5959), and they target BRD9/7, mutant IDH1, SUV420H1/2, EZH2/1, p300/CBP and BRPF1B, respectively. In contrast to epigenetic probes, negative control compounds did not have a significant impact on TAK-243 cytotoxicity. Potentiation of TAK-243 cytotoxicity was associated with reduced ubiquitylation and induction of apoptosis. Mechanistically, epigenetic probes exerted their potentiation by inhibiting the efflux transporter ABCG2 without inducing significant changes in the ubiquitylation pathways or ABCG2 expression levels. The identified probes shared chemical scaffold similarities with TAK-243 and could potentially interact with ABCG2 as assessed by docking analysis. Based on these data, we have developed a cell-based assay that can quantitatively evaluate ABCG2 inhibition by drug candidates. In conclusion, our study identifies epigenetic chemical probes that profoundly potentiate TAK-243 cytotoxicity through off-target ABCG2 inhibition. We also provide experimental evidence that several negative control compounds cannot exclude a subset of off-target effects of chemical probes. Finally, potentiation of TAK-243 cytotoxicity can serve as a quantitative measure of ABCG2-inhibitory activity.

pharmacology and toxicology↗

Structure-Based Survey of the Human Proteome for Opportunities in Proximity Pharmacology

Proximity pharmacology (ProxPharm) is a novel paradigm in drug discovery where a small molecule brings two proteins in close proximity to elicit a signal, generally from one protein onto another. The potential of ProxPharm compounds as a new therapeutic modality is firmly established by proteolysis targeting chimeras (PROTACs) that bring an E3 ubiquitin ligase in proximity to a target protein to induce ubiquitination and subsequent degradation of the target protein. The concept can be expanded to induce other post-translational modifications via the recruitment of different types of protein-modifying enzymes. To survey the human proteome for opportunities in proximity pharmacology, we systematically mapped non-catalytic drug binding pockets on the structure of protein-modifying enzymes available from the Protein Databank. In addition to binding sites exploited by previously reported ProxPharm compounds, we identified putative ligandable non-catalytic pockets in 188 kinases, 42 phosphatases, 26 deubiquitinases, 9 methyltransferases, 7 acetyltransferases, 7 glycosyltransferases, 4 deacetylases, 3 demethylases and 2 glycosidases, including cavities occupied by chemical matter that may serve as starting points for future ProxPharm compounds. This systematic survey confirms that proximity pharmacology is a versatile modality with largely unexplored and promising potential, and reveals novel opportunities to pharmacologically rewire molecular circuitries.

bioinformatics↗

Discovery of small molecule antagonists of human Retinoblastoma Binding Protein 4 (RBBP4)

RBBP4 is a nuclear WD40 motif-containing protein widely implicated in various cancers and a putative drug target. It interacts with multiple proteins within diverse complexes such as nucleosome remodeling and deacetylase (NuRD) complex and polycomb repressive complex 2 (PRC2), as well as histone H3 and H4 through two distinct binding sites. B-cell lymphoma/leukemia 11A (BCL11A), friend of GATA-1 (FOG-1), plant homeodomain finger protein 6 (PHF6) and histone H3 bind to the top of the donut-shaped seven-bladed {beta}-propeller fold of RBBP4, while suppressor of zeste 12 (SUZ12), metastasis associated protein 1 (MTA1) and histone H4 bind to a pocket on the side of the WD40 repeats of this protein. Here, we report the discovery of the first small molecule antagonists of the RBBP4 top pocket, competing with interacting peptides from proteins such as BCL11A and histone H3. We also determined the first crystal structure of RBBP4 in complex with a small molecule (OICR17251), paving the path for structure-guided design and optimization towards more potent antagonists.

biochemistry↗

Structure Activity Relationship of USP5 Allosteric Inhibitors

USP5 is a deubiquitinase that has been implicated in a range of diseases, including cancer, but no USP5-targeting chemical probe has been reported to date. Here, we present the progression of a chemical series that occupies the C-terminal ubiquitin-binding site of a poorly characterized zinc-finger ubiquitin binding domain (ZnF-UBD) of USP5 and allosterically inhibits the catalytic activity of the enzyme. Systematic exploration of the structure-activity relationship, complemented with crystallographic characterization of the ZnF-UBD bound to multiple ligands, led to the identification of 64, which binds to the USP5 ZnF-UBD with a KD of 2.8 {micro}M. 64 is selective over the structurally similar ZnF-UBD domain of HDAC6 and inhibits USP5 catalytic activity in vitro with an IC50 of 26 {micro}M. This study provides a chemical and structural framework for the discovery of a chemical probe to delineate USP5 function in cells. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=86 SRC="FIGDIR/small/444542v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@3fc7bcorg.highwire.dtl.DTLVardef@15233e0org.highwire.dtl.DTLVardef@1cbf34corg.highwire.dtl.DTLVardef@d237d0_HPS_FORMAT_FIGEXP M_FIG Table of Contents Graphic C_FIG

biochemistry↗