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Background: Beyond phenotypic efficacy and safety categorization, high resolution profiling of drug-protein interactions and binding mechanisms remains a major hurdle during lead selection and optimization. A key milestone in structure-based drug design is compound binding site identification and characterization. Structure-activity relationship (SAR) studies utilize techniques such as nuclear magnetic resonance (NMR), x-ray crystallography (X-ray), cryo-electron microscopy (cryo-EM) and the mass spectrometry-based hydrogen-deuterium exchange (HDX) to address these hurdles but they are labor, time and cost intensive. Further, SAR studies are often complicated by protein size (i.e. large proteins) and location (i.e. membrane proteins), which can lead to protocol adaptations (e.g. recombinant protein usage and/or protein truncation) that can introduce artifacts. Using limited proteolysis (LiP) coupled to next-generation mass spectrometry we have developed a high-throughput, high-resolution approach (HR-LiP) that utilizes peptide-level resolution to characterize drug-protein interactions including for proteins that hindered by the previously mentioned limitations. Methods: To boost protein abundance in their native environment, proteins of interest were overexpressed in HEK293 cells using a simple plasmid construct. Cell lysates were incubated with the compounds of interest at increasing concentrations. Samples were then subjected to a limited digest using proteinase K and further processed for data independent acquisition (DIA)-MS analysis using trypsin. Data was analyzed using a directDIA workflow in Spectronaut. Results: Two well-characterized drug target proteins, bromodomain-containing protein 4 (BRD4) and epidermal growth factor receptor (EGFR), were selected for analysis. Using HR-LiP we identify the binding site of the BRD4 inhibitor JQ1 in the full-length protein, which is typically too large to be used directly in with conventional methods. Further, we map the intracellular binding location of both gefitinib and afatinib, two inhibitors of the membrane protein EGFR. Our data for both proteins are in good accordance with orthogonal data obtained by HDX-MS, NMR and X-ray studies. Conclusions: We demonstrate that HR-LiP can be used to dissect small molecule-protein binding events, including compound binding site prediction for protein targets classically considered to be difficult. Given its biological power, broad applicability and ease of implementation, we envision the use of HR-LiP as a routine approach for target validation and lead optimization in small molecule drug discovery pipelines. Citation Format: Nigel Beaton, Jagat Adhikari, Roland Bruderer, Ron Tomlinson, Yuehan Feng, Ivan Cornella-Taracido, Lukas Reiter. Prediction of small molecule-protein binding events for BRD4 and EGFR inhibitors using HR-LiP, a novel structural proteomics approach [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2136.

[Image: see text] Determination of target engagement for candidate drug molecules in the native cellular environment is a significant challenge for drug discovery programs. The cellular thermal shift assay (CETSA) has emerged as a powerful tool for determining compound target engagement through measurement of changes to a protein's thermal stability upon ligand binding. Here, we present a HiBiT thermal shift assay (BiTSA) that deploys a quantitative peptide tag for determination of compound target engagement in the native cellular environment using a high throughput, plate-based luminescence readout. We demonstrate that BiTSA can rapidly assess cellular target engagement of small molecule ligands against their cognate targets and highlight two applications of BiTSA for differentiating small molecules targeting mutant KRAS and TP53.

[Image: see text] By employing a phenotypic screen, a set of compounds, exemplified by 1, were identified which potentiate the ability of histone deacetylase inhibitor vorinostat to reverse HIV latency. Proteome enrichment followed by quantitative mass spectrometric analysis employing a modified analogue of 1 as affinity bait identified farnesyl transferase (FTase) as the primary interacting protein in cell lysates. This ligand-FTase binding interaction was confirmed via X-ray crystallography and temperature dependent fluorescence studies, despite 1 lacking structural and binding similarity to known FTase inhibitors. Although multiple lines of evidence established the binding interaction, these ligands exhibited minimal inhibitory activity in a cell-free biochemical FTase inhibition assay. Subsequent modification of the biochemical assay by increasing anion concentration demonstrated FTase inhibitory activity in this novel class. We propose 1 binds together with the anion in the active site to inhibit farnesyl transferase. Implications for phenotypic screening deconvolution and HIV reactivation are discussed.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Dorsal root ganglion (DRG) are a key tissue in the nervous system that have a role in neurological disease, particularly pain. Despite the importance of this tissue, the proteome of DRG is poorly understood, and it is unknown whether the proteome varies between organisms or different DRG along the spine. Therefore, we profiled the proteome of human and rat DRG. We identified 5,245 proteins in human DRG and 4959 proteins in rat DRG. Across species the proteome is largely conserved with some notable differences. While the most abundant proteins in both rat and human DRG played a role in extracellular functions and myelin sheeth, proteins detected only in humans mapped to roles in immune function whereas those detected only in rat mapped to roles in localization and transport. The DRG proteome between human T11 and L2 vertebrae was nearly identical indicating DRG from different vertebrae are representative of one another. Finally, we asked if this data could be used to enhance translatability by identifying mechanisms that modulate cellular phenotypes representative of pain in different species. Based on our data we tested and discovered that MAP4K4 inhibitor treatment increased neurite outgrowth in rat DRG as in human SH-SY5Y cells.

Background A central focus of preclinical drug discovery is the thorough characterization of lead compounds. This is a key step that helps ensure that drug candidates are worthy of clinical testing. In addition to phenotypic characterization, quantitative profiling of drug-protein interactions is a major hurdle during preclinical lead optimization. Traditionally, the gold standard technique informing structure-based drug design has been x-ray crystallography, despite the fact that under crystallization conditions protein conformation is frozen and aspects of protein structural transitions are neglected by this approach. More recently, hydrogen-deuterium exchange (HDX) has emerged as an alternative tool to profile ligand-protein interactions. While correlation of HDX-profiles with functional readouts provides valuable insights into structure-activity relations (SAR), the method itself can be laborious with extensive optimization required to generate high quality data. To address some of these shortcomings, we developed a high-throughput approach based on limited proteolysis (LiP) and next-generation quantitative mass spectrometry that enables the dissection of drug-protein interactions at peptide-level resolution. Methods To simulate the complex protein mixture obtained from cell lysis, purified recombinant proteins were spiked into a cell lysate background. Next, the mixtures were incubated with the compounds of interest. The samples were subjected to limited digestion with proteinase K and subsequently processed to peptides with trypsin for DIA-MS analysis. MS data were analyzed using a DirectDIA-workflow. Results High-Resolution Limited Proteolysis (HR-LiP) was established using calmodulin and its robust interactions with Ca2+ ions and CAMKII peptide as a model system. From here, we expanded the technique to small molecule-protein interactions of established, druggable protein targets spanning several protein classes. Herein we demonstrate that using HR-LiP we are able to identify binding sites of various compound classes on their target proteins including well characterized small molecules such as the BRD4 inhibitor JQ1. HR-LiP data are in good accordance with orthogonal HDX-MS, NMR and X-ray studies. Conclusions We demonstrate that HR-LiP can be used to dissect small molecule-protein binding characteristics with a resolution of 5-10 amino acids. Quantitative properties of the binding events are accurately recapitulated in dosage series and can therefore be deployed to rank and compare different compounds and compound classes. The ability to deal with complex backgrounds and unpurified proteins enables its application on difficult-to-purify or unstable proteins, and potentially multi-protein complexes. We envision the application of HR-LiP as a routine approach for target validation and lead optimization in small molecule drug discovery pipelines. Citation Format: Nigel Beaton, Jagat Adhikari, Yuehan Feng, Roland Bruderer, Ron Tomlinson, Ivan Cornella-Taracido, Lukas Reiter. Dissection of drug-protein interactions by HR-LiP-MS in target validation and lead optimization [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 298.

Compound potency is a key metric that is often used to drive medicinal chemistry programs. Compound potency is also taken into account when identifying the mechanism of action of compounds whose pharmacological target is unknown, particularly when these compounds are identified in phenotypic screens. Often compound potency is determined from assays using recombinantly generated, purified protein. It is well understood in the medicinal chemistry community that potency measured with recombinant enzyme and potency measured in cell may not entirely coincide. Decreases in cellular vs recombinant potency are often anticipated or explainable. What is less often realized is that compound potency can increase in a cellular environment due to several factors including cellular metabolism of compounds, protein–protein interactions, post-translational modifications, and asymmetric intracellular localization of compound. Here we discuss these factors and highlight examples where increases in cellular compound potency ...

Mass spectrometry-based discovery proteomics is an essential tool for the proximal readout of cellular drug action. Here, we apply a robust proteomic workflow to rapidly profile the proteomes of five lung cancer cell lines in response to more than 50 drugs. Integration of millions of quantitative protein-drug associations substantially improved the mechanism of action (MoA) deconvolution of single compounds. For example, MoA specificity increased after removal of proteins that frequently responded to drugs and the aggregation of proteome changes across cell lines resolved compound effects on proteostasis. We leveraged these findings to demonstrate efficient target identification of chemical protein degraders. Aggregating drug response across cell lines also revealed that one-quarter of compounds modulated the abundance of one of their known protein targets. Finally, the proteomic data led us to discover that inhibition of mitochondrial function is an off-target mechanism of the MAP2K1/2 inhibitor PD184352 and that the ALK inhibitor ceritinib modulates autophagy.

Background A central focus of preclinical drug discovery is the thorough characterization of lead compounds. This is a key step that helps ensure that drug candidates are worthy of clinical testing. In addition to phenotypic characterization, quantitative profiling of drug-protein interactions is a major hurdle during preclinical lead optimization. Traditionally, the gold standard technique informing structure-based drug design has been x-ray crystallography, despite the fact that under crystallization conditions protein conformation is frozen and aspects of protein structural transitions are neglected by this approach. More recently, hydrogen-deuterium exchange (HDX) has emerged as an alternative tool to profile ligand-protein interactions. While correlation of HDX-profiles with functional readouts provides valuable insights into structure-activity relations (SAR), the method itself can be laborious with extensive optimization required to generate high quality data. To address some of these shortcomings, we developed a high-throughput approach based on limited proteolysis (LiP) and next-generation quantitative mass spectrometry that enables the dissection of drug-protein interactions at peptide-level resolution. Methods To simulate the complex protein mixture obtained from cell lysis, purified recombinant proteins were spiked into a cell lysate background. Next, the mixtures were incubated with the compounds of interest at increasing concentrations. The samples were subjected to limited digestion with proteinase K and subsequently processed to peptides with trypsin for LC-DIA (data independent acquisition)-MS analysis. MS data were analyzed using a DirectDIA-workflow in Spectronaut Pulsar X. Results High-Resolution Limited Proteolysis (HR-LiP) was established using calmodulin and its robust interactions with Ca2+ ions and CAMKII peptide as a model system. From here, we expanded the technique to small molecule-protein interactions of established, druggable protein targets spanning several protein classes. Herein we demonstrate that using HR-LiP we are able to identify binding sites of various compound classes on their target proteins including well characterized small molecules such as the BRD4 inhibitor JQ1. HR-LiP data are in good accordance with orthogonal HDX-MS, NMR and X-ray studies. Conclusions We demonstrate that HR-LiP can be used to dissect small molecule-protein binding characteristics with a resolution of 5-10 amino acids. Quantitative properties of the binding events are accurately recapitulated in dosage series and can therefore be deployed to rank and compare different compounds and compound classes. The ability to deal with complex backgrounds and unpurified proteins enables its application on difficult-to-purify or unstable proteins, and potentially multi-protein complexes. We envision the application of HR-LiP as a routine approach for target validation and lead optimization in small molecule drug discovery pipelines. Citation Format: Yuehan Feng, Nigel Beaton, Jagat Adhikari, Roland Bruderer, Ron Tomlinson, Ivan Cornella-Taracido, Lukas Reiter. High-Resolution Limited Proteolysis (HR-LIP), a novel approach for target validation and lead compound optimization [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4006.

Doxorubicin is a highly effective chemotherapy agent used to treat many common malignancies. However, its use is limited by cardiotoxicity, and cumulative doses exponentially increase the risk of heart failure. To identify novel heart failure treatment targets, we previously established a zebrafish model of doxorubicin-induced cardiomyopathy for small molecule screening. Using this model, we previously identified several small molecules that prevent doxorubicin-induced cardiotoxicity both in zebrafish as well as in mouse models. In this study, we have expanded our exploration of doxorubicin cardiotoxicity by screening 2,271 small molecules from a proprietary, target-annotated tool compound collection. We found 120 small molecules that can prevent doxorubicin-induced cardiotoxicity, including seven highly-effective compounds. Of these, all seven exhibited inhibitory activity towards Cytochrome P450 family 1 (CYP1). These results are consistent with our previous findings in which visnagin, a CYP1 inhibitor, also prevented doxorubicin-induced cardiotoxicity. Importantly, genetic mutation of cyp1a protected zebrafish against doxorubicin-induced cardiotoxicity phenotypes. Together, these results provide strong evidence that CYP1 is an important contributor to doxorubicin-induced cardiotoxicity and highlight the CYP1 pathway as a candidate therapeutic target for clinical cardioprotection.

The therapeutic potential of interfering with dysregulated proteins by inducing its selective degradation has been pursued using different mechanisms. In the present article, we review representative examples of monovalent protein-degraders that, contrary to the proteolysis targeting chimeras, achieve target degradation without displaying recognition motifs for the recruitment of E3 ubiquitin ligases. We also highlight new technologies and assays that may brought to bear on the discovery of common elements that could predict and enable the selective degradation of pathogenic targets by monovalent protein-degraders. The successful application of these methods would pave the way to the advancement of new drugs with unique efficacy and tolerability properties.

Anthracyclines such as doxorubicin are highly effective chemotherapy agents used to treat many common malignancies. However, their use is limited by cardiotoxicity. We previously identified visnagin as protecting against doxorubicin toxicity in cardiac but not tumor cells. In this study, we sought to develop more potent visnagin analogs in order to use these analogs as tools to clarify the mechanisms of visnagin-mediated cardioprotection. Structure-activity relationship studies were performed in a zebrafish model of doxorubicin cardiomyopathy. Movement of the 5-carbonyl to the 7 position and addition of short ester side chains led to development of visnagin analogs with 1,000-fold increased potency in zebrafish and 250-fold increased potency in mice. Using proteomics, we discovered that doxorubicin caused robust induction of Cytochrome P450 family 1 (CYP1) that was mitigated by visnagin and its potent analog 23. Treatment with structurally divergent CYP1 inhibitors, as well as knockdown of CYP1A, prevented doxorubicin cardiomyopathy in zebrafish. The identification of potent cardioprotective agents may facilitate the development of new therapeutic strategies for patients receiving cardiotoxic chemotherapy. Moreover, these studies support the idea that CYP1 is an important contributor to doxorubicin cardiotoxicity and suggest that modulation of this pathway could be beneficial in the clinical setting.

Autophagy is a dynamic process that regulates lysosomal-dependent degradation of cellular components. Until recently the study of autophagy has been hampered by the lack of reliable pharmacological tools, but selective inhibitors are now available to modulate the PI 3-kinase VPS34, which is required for autophagy. Here we describe the discovery of potent and selective VPS34 inhibitors, their pharmacokinetic (PK) properties, and ability to inhibit autophagy in cellular and mouse models.

Compound potency is a key metric that is often used to drive medicinal chemistry programs. Compound potency is also taken into account when identifying the mechanism of action of compounds whose pharmacological target is unknown, particularly when these compounds are identified in phenotypic screens. Often compound potency is determined from assays using recombinantly generated, purified protein. It is well understood in the medicinal chemistry community that potency measured with recombinant enzyme and potency measured in cell may not entirely coincide. Decreases in cellular vs recombinant potency are often anticipated or explainable. What is less often realized is that compound potency can increase in a cellular environment due to several factors including cellular metabolism of compounds, protein-protein interactions, post-translational modifications, and asymmetric intracellular localization of compound. Here we discuss these factors and highlight examples where increases in cellular compound potency were critical to the development of probes or drugs.

Wnt signaling is critical for development, cell proliferation and differentiation, and mutations in this pathway resulting in constitutive signaling have been implicated in various cancers. A pathway screen using a Wnt-dependent reporter identified a chemical series based on a 1,2,3-thiadiazole-5-carboxamide (TDZ) core with sub-micromolar potency. Herein we report a comprehensive mechanism-of-action deconvolution study toward identifying the efficacy target(s) and biological implication of this chemical series involving bottom-up quantitative chemoproteomics, cell biology, and biochemical methods. Through observing the effects of our probes on metabolism and performing confirmatory cellular and biochemical assays, we found that this chemical series inhibits ATP synthesis by uncoupling the mitochondrial potential. Affinity chemoproteomics experiments identified sarco(endo)plasmic reticulum Ca2+ -dependent ATPase (SERCA2) as a binding partner of the TDZ series, and subsequent validation studies suggest that the TDZ series can act as ionophores through SERCA2 toward Wnt pathway inhibition.

Cells rely on autophagy to clear misfolded proteins and damaged organelles to maintain cellular homeostasis. In this study we use the new autophagy inhibitor PIK-III to screen for autophagy substrates. PIK-III is a selective inhibitor of VPS34 that binds a unique hydrophobic pocket not present in related kinases such as PI(3)Kα. PIK-III acutely inhibits autophagy and de novo lipidation of LC3, and leads to the stabilization of autophagy substrates. By performing ubiquitin-affinity proteomics on PIK-III-treated cells we identified substrates including NCOA4, which accumulates in ATG7-deficient cells and co-localizes with autolysosomes. NCOA4 directly binds ferritin heavy chain-1 (FTH1) to target the iron-binding ferritin complex with a relative molecular mass of 450,000 to autolysosomes following starvation or iron depletion. Interestingly, Ncoa4(-/-) mice exhibit a profound accumulation of iron in splenic macrophages, which are critical for the reutilization of iron from engulfed red blood cells. Taken together, the results of this study provide a new mechanism for selective autophagy of ferritin and reveal a previously unappreciated role for autophagy and NCOA4 in the control of iron homeostasis in vivo.

The search for novel therapeutic interventions for viral disease is a challenging pursuit, hallmarked by the paucity of antiviral agents currently prescribed. Targeting of viral proteins has the inextricable challenge of rise of resistance. Safe and effective vaccines are not possible for many viral pathogens. New approaches are required to address the unmet medical need in this area. We undertook a cell-based high-throughput screen to identify leads for development of drugs to treat respiratory syncytial virus (RSV), a serious pediatric pathogen. We identified compounds that are potent (nanomolar) inhibitors of RSV in vitro in HEp-2 cells and in primary human bronchial epithelial cells and were shown to act postentry. Interestingly, two scaffolds exhibited broad-spectrum activity among multiple RNA viruses. Using the chemical matter as a probe, we identified the targets and identified a common cellular pathway: the de novo pyrimidine biosynthesis pathway. Both targets were validated in vitro and showed no significant cell cytotoxicity except for activity against proliferative B- and T-type lymphoid cells. Corollary to this finding was to understand the consequences of inhibition of the target to the host. An in vivo assessment for antiviral efficacy failed to demonstrate reduced viral load, but revealed microscopic changes and a trend toward reduced pyrimidine pools and findings in histopathology. We present here a discovery program that includes screen, target identification, validation, and druggability that can be broadly applied to identify and interrogate other host factors for antiviral effect starting from chemical matter of unknown target/mechanism of action.

Summary Activating KRAS mutations are major oncogenic drivers in multiple tumor types. Synthetic lethal screens have previously been used to identify targets critical for the survival of KRAS mutant cells, but their application to drug discovery has proven challenging, possibly due in part to a failure of monolayer cultures to model tumor biology. Here, we report the results of a high-throughput synthetic lethal screen for small molecules that selectively inhibit the growth of KRAS mutant cell lines in soft agar. Chemoproteomic profiling identifies the target of the most KRAS -selective chemical series as dihydroorotate dehydrogenase (DHODH). DHODH inhibition is shown to perturb multiple metabolic pathways. In vivo preclinical studies demonstrate strong antitumor activity upon DHODH inhibition in a pancreatic tumor xenograft model.

Host factor pathways are known to be essential for hepatitis C virus (HCV) infection and replication in human liver cells. To search for novel host factor proteins required for HCV replication, we screened a subgenomic genotype 1b replicon cell line (Luc-1b) with a kinome and druggable collection of 20,779 siRNAs. We identified and validated several enzymes required for HCV replication, including class III phosphatidylinositol 4-kinases (PI4KA and PI4KB), carbamoyl-phosphate synthetase 2, aspartate transcarbamylase, and dihydroorotase (CAD), and mevalonate (diphospho) decarboxylase. Knockdown of PI4KA could inhibit the replication and/or HCV RNA levels of the two subgenomic genotype 1b clones (SG-1b and Luc-1b), two subgenomic genotype 1a clones (SG-1a and Luc-1a), JFH-1 genotype 2a infectious virus (JFH1-2a), and the genomic genotype 1a (FL-1a) replicon. In contrast, PI4KB knockdown inhibited replication and/or HCV RNA levels of Luc-1b, SG-1b, and Luc-1a replicons. The small molecule inhibitor, PIK93, was found to block subgenomic genotype 1b (Luc-1b), subgenomic genotype 1a (Luc-1a), and genomic genotype 2a (JFH1-2a) infectious virus replication in the nanomolar range. PIK93 was characterized by using quantitative chemical proteomics and in vitro biochemical assays to demonstrate PIK93 is a bone fide PI4KA and PI4KB inhibitor. Our data demonstrate that genetic or pharmacological modulation of PI4KA and PI4KB inhibits multiple genotypes of HCV and represents a novel druggable class of therapeutic targets for HCV infection.

The elucidation of drug targets is important both to optimize desired compound action and to understand drug side-effects. In this study, we created statistical models which link chemical substructures of ligands to protein domains in a probabilistic manner and employ the model to triage the results of affinity chromatography experiments. By annotating targets with their InterPro domains, general rules of ligand-protein domain associations were derived and successfully employed to predict protein targets outside the scope of the training set. This methodology was then tested on a proteomics affinity chromatography data set containing 699 compounds. The domain prediction model correctly detected 31.6% of the experimental targets at a specificity of 46.8%. This is striking since 86% of the predicted targets are not part of them (but share InterPro domains with them), and thus could not have been predicted by conventional target prediction approaches. Target predictions improve drastically when significance (FDR) scores for target pulldowns are employed, emphasizing their importance for eliminating artifacts. Filament proteins (such as actin and tubulin) are detected to be 'frequent hitters' in proteomics experiments and their presence in pulldowns is not supported by the target predictions. On the other hand, membrane-bound receptors such as serotonin and dopamine receptors are noticeably absent in the affinity chromatography sets, although their presence would be expected from the predicted targets of compounds. While this can partly be explained by the experimental setup, we suggest the computational methods employed here as a complementary step of identifying protein targets of small molecules. Affinity chromatography results for gefitinib are discussed in detail and while two out of the three kinases with the highest affinity to gefitinib in biochemical assays are detected by affinity chromatography, also the possible involvement of NSF as a target for modulating cancer progressions via beta-arrestin can be proposed by this method.

Loss-of-function studies are valuable for elucidating kinase function and the validation of new drug targets. While genetic techniques, such as RNAi and genetic knockouts, are highly specific and easy to implement, in many cases post-translational perturbation of kinase activity, specifically pharmacological inhibition, is preferable. However, due to the high degree of structural similarity between kinase active sites and the large size of the kinome, identification of pharmacological agents that are sufficiently selective to probe the function of a specific kinase of interest is challenging, and there is currently no systematic method for accomplishing this goal. Here, we present a modular chemical genetic strategy that uses antibody mimetics as highly selective targeting components of bivalent kinase inhibitors. We demonstrate that it is possible to confer high kinase selectivity to a promiscuous ATP-competitive inhibitor by tethering it to an antibody mimetic fused to the self-labeling protein SNAPtag. With this approach, a potent bivalent inhibitor of the tyrosine kinase Abl was generated. Profiling in complex cell lysates, with competition-based quantitative chemical proteomics, revealed that this bivalent inhibitor possesses greatly enhanced selectivity for its target, BCR-Abl, in K562 cells. Importantly, we show that both components of the bivalent inhibitor can be assembled in K562 cells to block the ability of BCR-Abl to phosphorylate a direct cellular substrate. Finally, we demonstrate the generality of using antibody mimetics as components of bivalent inhibitors by generating a reagent that is selective for the activated state of the serine/threonine kinase ERK2.

Quantitative chemoproteomics has recently emerged as an experimental approach to determine protein interaction profiles of small molecules in a given cell line or tissue. In contrast to standard biochemical and biophysical kinase assays, application of this method to kinase inhibitors determines compound binding to endogenously expressed kinases under conditions approximating the physiological situation with regard to the molecular state of the kinase and presence of required cofactors and regulatory proteins. Using a dose-dependent, competition-based experimental design in combination with quantitative mass spectrometry approaches, such as the use of tandem mass tags (TMT) for isobaric labeling described here, allows to rank-order interactions of inhibitors to kinase by binding affinity.

TLR7 and TLR8 are intracellular sensors activated by single-stranded RNA species generated during viral infections. Various synthetic small molecules can also activate TLR7 or TLR8 or both through an unknown mechanism. Notably, direct interaction between small molecules and TLR7 or TLR8 has never been shown. To shed light on how small molecule agonists target TLRs, we labeled 2 imidazoquinolines, resiquimod and imiquimod, and one adenine-based compound, SM360320, with 2 different fluorophores [5(6) carboxytetramethylrhodamine and Alexa Fluor 488] and monitored their intracellular localization in human plasmacytoid dendritic cells (pDCs). All fluorescent compounds induced the production of IFN-α, TNF-α, and IL-6 and the up-regulation of CD80 and CD86 by pDCs showing they retained TLR7-stimulating activity. Confocal imaging of pDCs showed that, similar to CpG-B, all compounds concentrated in the MHC class II loading compartment (MIIC), identified as lysosome-associated membrane protein 1+, CD63, and HLA-DR+ endosomes. Treatment of pDCs with bafilomycin A, an antagonist of the vacuolar-type proton ATPase controlling endosomal acidification, prevented the accumulation of small molecule TLR7 agonists, but not of CpG-B, in the MIIC. These results indicate that a pH-driven concentration of small molecule TLR7 agonists in the MIIC is required for pDC activation.

Cephalostatin 1, OSW-1, ritterazine B and schweinfurthin A are natural products that potently, and in some cases selectively, inhibit the growth of cultured human cancer cell lines. The cellular targets of these small molecules have yet to be identified. We have discovered that these molecules target oxysterol binding protein (OSBP) and its closest paralog, OSBP-related protein 4L (ORP4L)--proteins not known to be involved in cancer cell survival. OSBP and the ORPs constitute an evolutionarily conserved protein superfamily, members of which have been implicated in signal transduction, lipid transport and lipid metabolism. The functions of OSBP and the ORPs, however, remain largely enigmatic. Based on our findings, we have named the aforementioned natural products ORPphilins. Here we used ORPphilins to reveal new cellular activities of OSBP. The ORPphilins are powerful probes of OSBP and ORP4L that will be useful in uncovering their cellular functions and their roles in human diseases.

Deregulation of NF-κB signaling pathway has been identified as one of the key drivers of many hematological malignancies. Activation of the NF-κB pathway in these cells can happen either through activating mutations within the pathway, loss of function mutations of inhibitory molecules or through interaction with the stroma that secrete specific cytokines. The strategies for blocking the NF-κB pathway activation have so far focused on NF-κB pathway kinase inhibitors or the more general proteasome inhibitors. However, the adverse events associated with available NF-κB pathway modulators in pre-clinical and clinical settings have limited their general therapeutic use. To discover new targets and modulators of this key survival pathway, we performed a cellular phenotypic screen that led to the identification of a novel class of small molecules that inhibit the activation of the canonical NF-κB pathway. The compounds showed potent inhibition of NF-κB activation by multiple receptors including the TNF, antigen and BAFF/ APRIL receptors. Structure activity relationship analysis for this novel class of molecules identified pairs of stereoisomers wherein the cis isoform showed greater than 100 fold activity than the trans isoform. Detailed interrogation of the mechanism of action of the active cis isomers using biochemical and cellular pathway analysis revealed that the compounds are potent inhibitors of RHO associated kinases, only weakly inhibit IKK1 and IKK2 and strongly inhibit the induction of phosphorylated IkBα upon stimulation. However, the differential activity of the stereoisomers was not seen for the inhibition of the RHO associated kinases, suggesting the inhibition of NF-κB pathway was due to modulation of other targets. This raises the possibility of identifying novel targets associated with this compound. Using in-lysate affinity chemical proteomics with the active and in-active enantiomer, we have identified PKN1 as a key efficacy target for the inhibitors. Knockdown of PKN1 using genetic tools was sufficient to abrogate the response of cells to TNFα stimulation implicating a critical role for PKN1 in the activation of NF-κB pathway. Our findings therefore present an opportunity to develop novel NF-κB inhibitors for the tumors that depend on this key pathway for survival. Citation Format: Katherine Tang, Michael Lampa, Tieu-Binh Le, Matthieu Barrague, Ronald Tomlinson, Brittain Scott, Tahir Majid, Marion Dorsch, Hong Cheng, Christoph Lengauer, Carlos Garcia-Echeverria, Francisco Adrian, Mikhail Levit, Balin Zhang, Kin Yu, Ivan Cornella-Taracido, Lakshmi Srinivasan. Chemical Proteomics effort identifies PKN1 as a key player in the canonical NF-κB signaling pathway. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 1135. doi:10.1158/1538-7445.AM2013-1135

Activating KRAS mutations are oncogenic and prevalent in multiple tumor types, being found in as high as 90% of pancreatic carcinomas and 50% of colorectal carcinomas. In spite of its attractiveness for therapeutic intervention to date no KRAS-targeted drug therapies have been approved. Most of the reported mutant KRAS directed cellular screening efforts utilize 2-dimensional assays. Because mutant KRAS driven tumor cell lines are much more strongly dependent on activated K-Ras signaling for anchorage independent growth relative to growth when anchored to plastic, we report herein a screening strategy that leverages a 3-dimensional clonogenic growth assay in soft agar. We have performed a multi-cell line parallel phenotypic high throughput screen with our proprietary compound collection to identify pathways, targets and chemical matter with selective anti-tumor activity in mutant KRAS dependent cell lines - a Synthetic Lethal approach. Our strategy has led to the identification of several chemical classes that inhibit the growth of multiple mutant KRAS cell lines of pancreatic and colorectal carcinoma origin, while sparing multiple wild-type KRAS cancer cell lines. Studies to elucidate their molecular mechanisms of action are underway. Citation Format: Malvika Koundinya, Judith Sudhalter, Albane Courjaud, Bruno Lionne, Gaetan Touyer, Luc Bonnet, Isabelle Menguy, Isabelle Schreiber, Christelle Perrault, Stephanie Vougier, Brigitte Benhamou, Daniel Simard, Maria Paola Castaldi, Ronald Tomlinson, Stephan Reiling, Hui Cao, David Harper, Monsif Bouaboula, Jack Pollard, Claudine Grepin, Carlos Garcia-Echeverria, Francisco Adrian, Ivan Cornella-Taracido, Rosalia Arrebola, Aaron J. Morris. Clonogenic 3D high throughput screening in mutant KRAS dependent cancer cells - a chemogenomic approach. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 2243. doi:10.1158/1538-7445.AM2013-2243