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Substrate-Free High-Throughput Screening Identifies Selective Inhibitors for Uncharacterized Enzymes 1The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA 2Department of Chemical Physiology, The Scripps Research Institute, La Jolla, CA 92037, USA 3The Scripps Research Institute Molecular Screening Center, The Scripps Research Institute, La Jolla, CA 92037, USA Author contributions. D.A.B. performed experiments. D.A.B., S.J.B, H.R. and B.F.C. designed experiments and analyzed data. D.A.B. and B.F.C. wrote the paper. *To whom correspondence should be addressed: Email: cravatt/at/scripps.edu The publisher's final edited version of this article is available at Nat Biotechnol. This article has been corrected. See the correction in volume 27 on page 485.Abstract Target-based high-throughput screening (HTS) is essential for the discovery of small-molecule modulators of proteins. Typical screening methods for enzymes rely on extensively tailored substrate assays, which are not available for targets of poorly characterized biochemical activity. Here, we report a general, substrate-free platform for HTS that overcomes this problem by monitoring the reaction of broad-spectrum, activity-based probes with enzymes using fluorescence polarization. We show that this platform is applicable to enzymes from multiple mechanistic classes, regardless of their degree of functional annotation, and can be coupled with secondary competitive activity-based proteomic assays to rapidly determine the specificity of screening hits. Using this platform, we identified the bioactive alkaloid emetine as a selective inhibitor of the uncharacterized cancer-associated hydrolase RBBP9. We furthermore show that the detoxification enzyme GSTO1, also implicated in cancer, is inhibited by several electrophilic compounds found in public libraries, some of which display high selectivity for this enzyme. Advancements in robotics technologies, coupled with the generation and assembly of large libraries of structurally diverse small-molecules, have led to a tremendous expansion of high-throughput screening (HTS) programs in both academia and industry1, 2. A variety of screens have been introduced that range from more classical in vitro substrate assays for enzyme inhibitors to in situ screens that profile cellular phenotypes. A key advantage of HTS is the potential to mine large compound libraries to discover novel chemotypes that possess interesting and often unanticipated biological activities. Examples of such chemotypes include enzyme inhibitors that act by unprecedented mechanisms3, receptor agonists with high specificity and in vivo efficacy4, and compounds that kill cancer cells by inducing an atypical cell death pathway5. Public small-molecule libraries also contain a large number of bioactive natural products (http://pubchem.ncbi.nlm.nih.gov/), many of which act by still ill-defined mechanisms, and HTS offers a potentially attractive strategy to discover protein targets for these compounds. Essential to the success of any target-based HTS program is the development of a high-quality screen. Key factors that must be satisfied include – an accurate and, ideally, homogeneous biochemical readout of protein activity, robust assay reproducibility between wells and plates, adequate sensitivity to identify compounds with weak activity, and affordability. Meeting these criteria can be challenging, even for well-studied proteins, and is even more daunting for proteins with poorly characterized biochemical activities. As a consequence, the unannotated portion of the human proteome, which by some estimates may amount to 30−50% of all human proteins6, has, to date, remained outside of the general scope of HTS programs. A large fraction of uncharacterized mammalian proteins are enzymes. Genetic and cell biology studies have begun to link some of these enzymes to important physiological and disease processes7-9. However, our lack of understanding of the substrates utilized by uncharacterized enzymes impedes the development of standard HTS assays for inhibitor screening. Sequence homology, on the other hand, can often assign these enzymes to specific mechanistic classes, and this knowledge has been used to develop chemical proteomic tools for their characterization. Prominent among these chemo-proteomic methods is activity-based protein profiling (ABPP)10, 11. ABPP makes use of reactive chemical probes to covalently modify the active sites of enzymes. ABPP probes typically exploit conserved catalytic and/or recognition elements in active sites to target a large number of mechanistically related enzymes. Incorporation of fluorescent and/or biotin tags into probe structures enables detection and enrichment/identification, respectively, of protein targets. ABPP has been applied to discover enzyme activities in a wide range of (patho)physiological processes, including cancer12-15, infectious disease16, and nervous system signaling17. Interestingly, a large number of enzymes identified by ABPP in these studies are uncharacterized (i.e., they lack known substrates)13, 15, 17, 18. By performing ABPP experiments in a competitive mode, where small-molecules are screened for their ability to block probe labeling of enzymes19, lead inhibitors have been generated for some uncharacterized enzymes20, 21. An important feature of this approach is that the potency and selectivity of inhibitors can be concurrently optimized because compounds are profiled against a large number of mechanistically related enzymes in parallel. A major shortcoming of competitive ABPP studies has, however, been their limited throughput. Assays are typically readout using one-dimensional SDS-PAGE gels, which are not suitable for HTS. As a consequence, only modest-sized compound libraries (200−300 compounds) can be screened using current competitive ABPP methods21. Here, we have addressed this major limitation by developing a fluorescence polarization (FluoPol) platform for competitive ABPP. We show that this platform is HTS-compatible and can be readily adapted for use with different classes of enzymes and ABPP probes. Moreover, we further report the use of FluoPol-ABPP to discover selective inhibitors for two cancer-related enzyme targets, the hydrolytic enzyme RBBP9 and the thioltransferase GSTO1. Results FluoPol-ABPP assay development for RBBP9 As an initial target for screening by FluoPol-ABPP, we selected the putative hydrolytic enzyme retinoblastoma-binding protein-9 (RBBP9). RBBP9 was originally identified in a screen for gene products that confer resistance to the growth-inhibitory effects of TGF-beta17. RBBP9 has also been reported to bind the retinoblastoma (RB) protein, transform rat liver epithelial cell lines, and show elevated expression in primary human liver tumors7. These data suggest that RBBP9 could play an important role in cancer. Nonetheless, to date, the biochemical functions of RBBP9 have remained enigmatic. Structural genomics22 and functional proteomics17 studies indicate that RBBP9 is a member of the serine hydrolase superfamily, but neither substrates nor selective inhibitors for the enzyme have yet been identified22. Our goal was therefore to establish a FluoPol-ABPP HTS assay to screen for inhibitors of human RBBP9. We took advantage of the interaction between purified recombinant RBBP9 and the serine hydrolase-directed activity-based probe fluorophosphonate (FP)-rhodamine (Supplementary Fig. 1)12, 23. The basis for monitoring this reaction by FluoPol is summarized as follows. Labeling of RBBP9 by FP-rhodamine will greatly increase the apparent mass of the fluorescent probe, resulting in the maintenance of a strong FluoPol signal when compared to unreacted, free probe (Fig. 1
We reasoned that an RBBP9 inhibitor would slow the rate of enzyme labeling, which would, in turn, reduce the FluoPol signal (Fig. 1a HTS for RBBP9 inhibitors by FluoPol-ABPP We next performed a FluoPol-ABPP screen for RBBP9 inhibitors in a 384-well format using a library of 18,974 small-molecules. On each plate, we included control reactions without added small-molecules or RBBP9 to set high and low boundaries for FluoPol signals, respectively. The assay performance was consistent across plates, with robust Z' factors and signal-to-noise (S:N) ratios suitable for HTS (Supplementary Fig. 3). From this screen, we identified 35 primary hits, defined as compounds that reduced the FluoPol signal for FP-rhodamine labeling of RBBP9 by > 50% relative to control reactions (Fig. 3a
Secondary proteomic competitive ABPP assays A key advantage of FluoPol-ABPP is that the activity-based probe used for HTS can also be incorporated into secondary gel-based screens to rapidly rule out false-positive and non-selective primary hits. We first evaluated 31 of the hit compounds (20 μM) against purified RBBP9 by gel-based ABPP (Fig. 3c The 20 active compounds (20 μM) were then evaluated by competitive ABPP in two complex proteomes - the membrane fraction of mouse brain doped with exogenous human RBBP9 (Fig. 4a
The proteomic ABPP assays also permitted categorization of the other 19 active compounds into two groups (Fig. 4c SAR of emetine and RBBP9 inhibition Emetine induces a broad range of cellular effects, including an increase in alternative splicing of the Bcl-x gene30, antagonism of α2-adrenergic receptors31, inhibition of protein synthesis, and cell death. Few protein targets of emetine, however, have been discovered. Emetine's cytotoxic activity has historically been linked to blockade of protein translation32, presumably through direct interactions with the ribosome33; however, less toxic structural analogues of emetine, such as the anti-ameobasis drug dehydroemetine, maintain equivalent inhibitory activity on protein translation32. These findings suggest the existence of still unidentified protein targets that are specifically inhibited by emetine. To explore the structure-activity relationship for inhibition of RBBP9 by emetine, we screened ~75 commercially available compounds possessing structural features similar to emetine by competitive ABPP (Fig. 3d Mechanistic characterization of RBBP9 inhibitors From our secondary proteomic ABPP assays, we suspected that several screening hits, such as the electrophilic quinone 2, might irreversibly inhibit RBBP9. As further evidence of covalent inhibition, we noticed that compounds possessing two electrophilic moieties, such as compound 4, dimerized recombinant RBBP9 as judged by the detection of a higher migrating species by SDS-PAGE (Fig. 3b
Quinones are well-known alkylating agents34, and we reasoned that Cys163, which resides two residues away from the catalytic His165 in the human RBBP9 (hRBBP9) active site22, might serve as a potential site of irreversible alkylation. Interestingly, this residue is an arginine in other RBBP9 orthologues, including those from horse, rat, and mouse. This predicts that other RBBP9 orthologues should be resistant to inhibition by 2. Indeed, we found that mouse RBBP9 (mRBBP9) displays a ~50-fold reduced sensitivity to 2 (Fig. 5b GSTO1 inhibitor discovery by FluoPol-ABPP To test whether FluoPol-ABPP could be applied to a second, mechanistically distinct enzyme class that reacted with a different activity-based probe, we assayed the oxidoreductase glutathione S-transferase omega 1 (GSTO1). GSTs are cellular detoxifying enzymes that metabolize endogenous compounds, chemotherapeutic agents, and by-products of oxidative stress, and have recently gained attention as potential anticancer drug targets35. GSTO1, in particular, is overexpressed in human cancer cell lines that show enhanced aggressiveness15 and chemotherapeutic resistance36. GSTO1 is an atypical GST that utilizes a catalytic cysteine nucleophile37, which renders it sensitive to generic thiol-alkylating agents, such as N-ethylmaleimide38. However, selective GSTO1 inhibitors have not yet been identified. We previously discovered that GSTO1 reacts strongly with sulfonate ester (SE) activity-based probes15, which target a broad swath of metabolic enzymes in proteomes. Under conditions similar to the RBBP9 assay, the reaction of GSTO1 (1 μM) and a SE-rhodamine probe (75 nM) (Supplementary Fig. 1) generated a robust, time-dependent increase in fluorescence polarization signal (Fig. 6a
Among the GSTO1 primary hits were, not surprisingly, 20 potentially thiol-reactive compounds, including the thiol-reactive RBBP9 inhibitor 3, the proton pump inhibitor omeprazole (6), the disulfide 7, and the α-chloroacetamide 8 (Fig. 6b To assess the selectivity of 6−9, we evaluated these compounds by competitive ABPP using the cytosolic proteome of a human breast cancer cell line (MDA-MB-231) that expresses high endogenous levels of GSTO1. (Fig. 6d,e Discussion Complete genome sequences have revealed that eukaryotic and prokaryotic organisms universally possess a huge number of uncharacterized proteins6. Even for proteins that may be considered ‘annotated’, we have yet, in most instances, to achieve a complete understanding of their biochemical, cellular, and physiological functions. A central component of efforts to annotate the proteome is the development of selective pharmacological probes to perturb the function of individual proteins in native biological settings. HTS has assumed a prominent role in small-molecule probe development in both academia and industry6, as exemplified by the National Institutes of Health Molecular Libraries Screening initiative (http://nihroadmap.nih.gov/molecularlibraries/). The success of such endeavors hinges on the advancement of high-quality screens, which is particularly challenging for proteins of poorly characterized biochemical function. Here, we have introduced FluoPol-ABPP as a general solution to this problem for a potentially wide range of enzymes. We analyzed the cancer-associated hydrolase RBBP9 by FluoPol-ABPP and discovered that this protein is inhibited by the natural product emetine. Notably, emetine did not inhibit any of the other serine hydrolases detected in our proteomic ABPP studies. The RBBP9-emetine interaction furthermore displayed a tight structure-activity relationship, with chemical analogues, such as dehydroemetine, lacking activity. These data suggest that RBBP9 could be a relevant target to explain the molecular mechanisms underlying the bioactivity of emetine and related ipecac alkaloids, and, conversely, these natural products may offer useful probes for exploring the enzymatic functions of RBBP9 in biological systems. Our further finding that RBBP9, as well as several other serine hydrolases, were susceptible to inactivation by thiol-reactive electrophilic compounds (quinones, disulfides) suggests that this class of enzymes might be regulated by endogenous pathways for post-translational modification of cysteines (e.g., nitroyslation43, oxidation44, electrophilic modification45). We also applied FluoPol-ABPP to discover the α-chloracetamide 8 as a selective, covalent inhibitor for a second cancer-associated enzyme, GSTO1. Importantly, RBBP9 and GSTO1 are mechanistically distinct enzymes (serine hydrolase and reductase/thioltransferase, respectively) targeted by difference classes of ABPP probes (FP and SE, respectively). The successful application of FluoPol-ABPP to discover both reversible and irreversible inhibitors for each of these proteins underscores the versatility and generality of this platform. Indeed, for RBBP9, it is difficult to conceive of another HTS-compatible biochemical assay, since despite much effort22, substrates have not yet been identified for this enzyme. In the case of GSTO1, a limited number of substrate assays have been developed, but these are not well-suited for HTS [e.g., UV absorbance assays at short wavelengths (305 nm) where many small-molecules exhibit intrinsic absorbance42). Thus, FluoPol-ABPP should prove valuable not only for uncharacterized enzymes, but also for enzymes with substrate assays that are not readily adaptable to an HTS format. A handful of complementary assays have also been introduced to expand the range of proteins amenable to HTS. For instance, FluoPol platforms have recently been described that use aptamers46 or reversibly binding small-molecules47 as probes. Aptamers have the advantage of being potentially applicable to proteins of poorly characterized function, although, in principle, an individual aptamer would need to be developed for each target (or set of structurally related targets). In contrast, individual ABPP probes can target more than 100 enzymes that are structurally quite divergent13, 17, 48, making them amenable for screening a large fraction of the proteome. ABPP also offers straightforward secondary assays to rapidly assess compound activity and selectivity in complex biological samples, such that non-specific compounds (e.g., compounds 2 and 7; see Figs. 4 There are some limitations of FluoPol-ABPP that merit further discussion. First, this method is only applicable to enzymes for which cognate activity-based probes have been developed. While many important enzyme classes fall into this category (hydrolases, proteases, kinases, oxidoreductases)10, 11, several others remain outside the current scope of ABPP. It is also important to recognize that blockade of probe labeling may not, in all cases, equate with inhibition of an enzyme's catalytic activity. Secondary substrate assays can readily address this concern for some enzymes (e.g., as we showed for GSTO1), but may not be available for poorly characterized enzymes (e.g., RBBP9). Nonetheless, competitive ABPP has been successfully used to develop potent and selective inhibitors for many enzymes10, 11 and, we anticipate, in most instances, that probe labeling will serve as a valid surrogate for the catalytic activity of enzymes. In addition, FluoPol-ABPP requires a substantial amount of purified protein (~ 4 nmol/384-well plate), which may prove challenging for certain enzymes (e.g., transmembrane enzymes). The quantity of enzyme could, of course, be substantially reduced by performing the assay in 1536-well format or by conducting labeling reactions for a longer period of time. Regardless, in cases where protein quantity is not limiting, FluoPol-ABPP is quite cheap, since the quantity of probe used per assay is negligible (0.3 nmol/384-well plate). We thus anticipate that continued efforts to advance the large-scale production of proteins, such as those embodied by structural genomics initiatives49, should dovetail nicely with ongoing chemical proteomic studies to provide a growing number of target proteins and probes for the construction of FluoPol-ABPP HTS assays. The pharmacological tools that emerge from these screens should propel future investigations that aim to functionally annotate the proteome. METHODS Materials FP-biotin24, FP-rhodamine23, SE-rhodamine40, and S-4-(nitrophenacyl)glutathione42 were synthesized following previously described protocols. Emetine, glutathione, methyl arachidonoyl fluorophosphonate (MAFP), omeprazole, and rifampicin were purchased from Sigma. Compounds 2, 4, and 5 were purchased from Ryan Scientific, and compounds 3, 7, 8, and 69−138 were purchased from BioFocus DPI. Emetine analogues 1a-g were obtained from the National Cancer Institute. Screening compound libraries are described in the Supplementary Methods online. Recombinant Protein Expression and Purification Full-length cDNA encoding human RBBP9 in pcDNA3 (Invitrogen) was a gift of the Cheresh lab (UCSD), and full-length cDNA encoding mouse RBBP9 was purchased from Open BioSystems. GSTO1 was obtained as an expressed sequence tag from Invitrogen. These genes were subconed into pTrcHisB (Invitrogen). Point mutants were generated using the Quikchange Site-Directed Mutagenesis Kit (Stratagene). The constructs were expressed in BL21(DE3) E. coli and purified as described in the Supplementary Methods. FluoPol-ABPP Assays The RBBP9 FluoPol-ABPP assay was performed in a 384-well format. Briefly, 10 μL of recombinant RBBP9 (2.2 μM) in assay buffer (50 mM Tris-HCl [pH 8.0], 150 mM NaCl, 0.01% Pluronic F-127 [Invitrogen]) was added to test compound and negative control wells, and 10 μL assay buffer alone was added to positive control wells. Compounds were then added to test compound wells and DMSO to control wells by pintool, and plates were then incubated at 25 °C for 30 minutes. 1.1 μL of FP-rhodamine (750 nM in assay buffer; 75 nM final concentration in FluoPol assay) was added to all wells. The plates were incubated for additional 45 min at 25 °C and then read on an Envision platereader (Perkin Elmer). The GSTO1 FluoPol-ABPP assay was similarly performed in a 384-well format. Briefly, 10 μL of GSTO1 (1.1 μM) in assay buffer was added to test compound and negative control wells, and 10 μL of assay buffer alone to positive control wells. Compounds were added to test compound wells and DMSO to control wells by pintool. Plates were then incubated at 25 °C for 30 minutes. 1.1 μL of SE-rhodamine (750 nM in assay buffer) was added to all wells. The plates were incubated for 90 minutes at 25 °C and then read on an Envision platereader. Gel-Based ABPP experiments with recombinant enzyme Initial secondary gel-based ABPP analysis of primary hits was performed under the same conditions as the corresponding FluoPol-ABPP assay. Briefly, recombinant RBBP9 (2 μM) in assay buffer was incubated with DMSO or indicated compound (20 μM) for 30 min at 25 °C before the addition of FP-rhodamine at a final concentration of 75 nM in 50 μL total reaction volume. The reaction was incubated for 45 min at 25 °C, quenched with 2× SDS-PAGE loading buffer, boiled for 5 min at 90 °C, separated by SDS-PAGE, and visualized in-gel using a flatbed fluorescence scanner (Hitachi). The percentage activity remaining was determined by measuring the integrated optical density of the bands. Similarly, recombinant GSTO1 (1 μM) in assay buffer was incubated with DMSO or indicated compound (20 μM) for 30 min at 25 °C in a 50 μL total reaction volume. SE-rhodamine (75 nM final concentration) was then added, and the reaction was incubated at 25 °C for 90 min before it was similarly quenched and analyzed. For the determination of compound IC50 values using ABPP, the overall procedure remained the same but with conditions that enabled the use of less enzyme (400 nM RBBP9, 1 μM FP-rhodamine, 10 min; 400 nM GSTO1, 1 μM SE-rhodamine, 20 min). IC50 values were determined from dose-response curves from three trials at each inhibitor concentration (0.1−100 μM) using Prism software (GraphPad). For experiments involving gel-filtration of recombinant enzyme to test compound reversibility, discussed in detail in the Supplementary Methods, the reactions were set-up similarly with the exception that a fraction of the enzyme-inhibitor mixture was passaged over a Sephadex G-25M column (GE Healthcare) prior to the reaction with the ABPP probe. Competitive ABPP assays in proteomes The mouse brain membrane proteome, prepared as described in Supplementary Methods, was diluted to 1 mg/mL in phosphate-buffered saline (PBS). Recombinant RBBP9 (400 nM) was added for comparison where indicated. Similarly, the soluble proteome of transfected COS-7 cells, prepared as described in Supplementary Methods, was diluted to 1 mg/mL in phosphate-buffered saline (PBS). These proteomes were pre-incubated with either DMSO or candidate inhibitor at the indicated concentration in a 50 μL reaction volume for 30 min at 25 °C. FP-rhodamine was then added at a final concentration of 1 μM. After 10 min, the reactions were quenched and analyzed as described above. The soluble fraction of the human breast cancer cell line MDA-MB-231, prepared as described in Supplementary Methods, was diluted to 2 mg/mL in PBS. The proteome was pre-incubated with either DMSO or candidate inhibitor at the indicated concentration in a 50 μL reaction volume for 30 min at 25 °C, and SE-rhodamine was added at a final concentration of 5 μM. After 1 hr, the reactions were quenched and analyzed as described above. GSTO1 Substrate Assay This assay was performed as previously described42 as detailed in the Supplementary Methods. 1 Click here to view.(5.4M, pdf) Acknowledgments We thank the Cravatt laboratory for helpful discussions. We are grateful to Stephan Schürer and Pierre Baillargeon for help purchasing emetine analogues, and Sarah Tully for assistance with the synthesis of 4NPG. This work was supported by the N.I.H. (CA132630, MH084512), an N.S.F. Predoctoral Fellowship (D.A.B.), and the Skaggs Institute for Chemical Biology. References 1. Inglese J, et al. High-throughput screening assays for the identification of chemical probes. Nat Chem Biol. 2007;3:466–479. [PubMed] 2. Shelat AA, Guy RK. Scaffold composition and biological relevance of screening libraries. Nat Chem Biol. 2007;3:442–446. [PubMed] 3. Ahn K, et al. A novel mechanistic class of fatty acid amide hydrolase inhibitors with remarkable selectivity. Biochemistry. 2007;46:13019–13030. [PubMed] 4. Jo E, et al. S1P1-selective in vivo-active agonists from high-throughput screening: off-the-shelf chemical probes of receptor interactions, signaling, and fate. Chem Biol. 2005;12:703–715. [PubMed] 5. Dolma S, Lessnick SL, Hahn WC, Stockwell BR. Identification of genotype-selective antitumor agents using synthetic lethal chemical screening in engineered human tumor cells. Cancer Cell. 2003;3:285–296. [PubMed] 6. Galperin MY, Koonin EV. ‘Conserved hypothetical’ proteins: prioritization of targets for experimental study. Nucleic Acids Res. 2004;32:5452–5463. [PubMed] 7. Woitach JT, Zhang M, Niu CH, Thorgeirsson SS. A retinoblastoma-binding protein that affects cell-cycle control and confers transforming ability. Nat Genet. 1998;19:371–374. [PubMed] 8. Rao M, Sockanathan S. Transmembrane protein GDE2 induces motor neuron differentiation in vivo. Science. 2005;309:2212–2215. [PubMed] 9. Semba S, et al. Biological functions of mammalian NIT1, the counterpart of the invertebrate NITFHIT rosetta stone protein, a possible tumor suppressor. J Biol Chem. 2006 10. Evans MJ, Cravatt BF. Mechanism-based profiling of enzyme families. Chem Rev. 2006;106:3279–3301. [PubMed] 11. Cravatt BF, Wright AT, Kozarich JW. Activity-Based Protein Profiling: From Enzyme Chemistry to Proteomic Chemistry. Annu Rev Biochem. 2008;77:383–414. [PubMed] 12. Jessani N, Liu Y, Humphrey M, Cravatt BF. Enzyme activity profiles of the secreted and membrane proteome that depict cancer invasiveness. Proc. Natl. Acad. Sci. U.S.A. 2002;99:10335–10340. [PubMed] 13. Jessani N, et al. A streamlined platform for high-content functional proteomics of primary human specimens. Nat Methods. 2005;2:691–697. [PubMed] 14. Joyce JA, et al. Cathepsin cysteine proteases are effectors of invasive growth and angiogenesis during multistage tumorigenesis. Cancer Cell. 2004;5:443–453. [PubMed] 15. Adam GC, Sorensen EJ, Cravatt BF. Proteomic profiling of mechanistically distinct enzyme classes using a common chemotype. Nat Biotechnol. 2002;20:805–809. [PubMed] 16. Greenbaum DC, et al. A role for the protease falcipain 1 in host cell invasion by the human malaria parasite. Science. 2002;298:2002–2006. [PubMed] 17. Blankman JL, Simon GS, Cravatt BF. A Comprehensive Profile of Brain Enzymes that Hydrolyze the Endocannabinoid 2-Arachidonoylglycerol. Chem. Biol. 2007;14:1347–1356. [PubMed] 18. Barglow KT, Cravatt BF. Substrate mimicry in an activity-based probe that targets the nitrilase family of enzymes. Angew Chem Int Ed Engl. 2006;45:7408–7411. [PubMed] 19. Leung D, Hardouin C, Boger DL, Cravatt BF. Discovering potent and selective reversible inhibitors of enzymes in complex proteomes. Nat. Biotechnol. 2003;21:687–691. [PubMed] 20. Chiang KP, Niessen S, Saghatelian A, Cravatt BF. An enzyme that regulates ether lipid signaling pathways in cancer annotated by multidimensional profiling. Chem Biol. 2006;13:1041–1050. [PubMed] 21. Li W, Blankman JL, Cravatt BF. A functional proteomic strategy to discover inhibitors for uncharacterized hydrolases. J. Am. Chem. Soc. 2007;129:9594–9595. [PubMed] 22. Vorobiev SM, et al. Crystal structure of human retinoblastoma binding protein 9. Proteins. 2008;74:526–529. [PubMed] 23. Patricelli MP, Giang DK, Stamp LM, Burbaum JJ. Direct visualization of serine hydrolase activities in complex proteome using fluorescent active site-directed probes. Proteomics. 2001;1:1067–1071. [PubMed] 24. Liu Y, Patricelli MP, Cravatt BF. Activity-based protein profiling: the serine hydrolases. Proc. Natl. Acad. Sci. U.S.A. 1999;96:14694–14699. [PubMed] 25. Hoover HS, Blankman JL, Niessen S, Cravatt BF. Selectivity of inhibitors of endocannabinoid biosynthesis evaluated by activity-based protein profiling. Bioorg Med Chem Lett. 2008;18:5838–5841. [PubMed] 26. Saario SM, et al. Characterization of the sulfhydryl-sensitive site in the enzyme responsible for hydrolysis of 2-arachidonoyl-glycerol in rat cerebellar membranes. Chem Biol. 2005;12:649–656. [PubMed] 27. Feng BY, Shelat A, Doman TN, Guy RK, Shoichet BK. High-throughput assays for promiscuous inhibitors. Nat Chem Biol. 2005;1:146–148. [PubMed] 28. Feng BY, et al. A high-throughput screen for aggregation-based inhibition in a large compound library. J Med Chem. 2007;50:2385–2390. [PubMed] 29. Feng BY, Shoichet BK. A detergent-based assay for the detection of promiscuous inhibitors. Nat Protoc. 2006;1:550–553. [PubMed] 30. Boon-Unge K, et al. Emetine regulates the alternative splicing of Bcl-x through a protein phosphatase 1-dependent mechanism. Chem Biol. 2007;14:1386–1392. [PubMed] 31. Keiser MJ, et al. Relating protein pharmacology by ligand chemistry. Nat Biotechnol. 2007;25:197–206. [PubMed] 32. Grollman AP. Structural Basis for Inhibition of Protein Synthesis by Emetine and Cycloheximide Based on an Analogy between Ipecac Alkaloids and Glutarimide Antibiotics. Proc Natl Acad Sci U S A. 1966;56:1867–1874. [PubMed] 33. Gupta RS, Siminovitch L. The molecular basis of emetine resistance in Chinese hamster ovary cells: alteration in the 40S ribosomal subunit. Cell. 1977;10:61–66. [PubMed] 34. Monks TJ, Jones DC. The metabolism and toxicity of quinones, quinonimines, quinone methides, and quinone-thioethers. Curr Drug Metab. 2002;3:425–438. [PubMed] 35. Hayes JD, Flanagan JU, Jowsey IR. Glutathione transferases. Annu Rev Pharmacol Toxicol. 2005;45:51–88. [PubMed] 36. Yan XD, Pan LY, Yuan Y, Lang JH, Mao N. Identification of platinum-resistance associated proteins through proteomic analysis of human ovarian cancer cells and their platinum-resistant sublines. J Proteome Res. 2007;6:772–780. [PubMed] 37. Board PG, et al. Identification, characterization, and crystal structure of the omega class glutathione transferases. J. Biol. Chem. 2000;275:24798–24806. [PubMed] 38. Whitbread AK, et al. Characterization of the omega class of glutathione transferases. Methods Enzymol. 2005;401:78–99. [PubMed] 39. Zhang K, Wong KP. Glutathione conjugation of chlorambucil: measurement and modulation by plant polyphenols. Biochem J. 1997;325(Pt 2):417–422. [PubMed] 40. Adam GC, Sorensen EJ, Cravatt BF. Trifunctional chemical probes for the consolidated detection and identification of enzyme activities from complex proteomes. Mol. Cell. Proteomics. 2002;1:828–835. [PubMed] 41. Liu S, Cerione RA, Clardy J. Structural basis for the guanine nucleotide-binding activity of tissue transglutaminase and its regulation of transamidation activity. Proc Natl Acad Sci U S A. 2002;99:2743–2747. [PubMed] 42. Board PG, et al. S-(4-Nitrophenacyl)glutathione is a specific substrate for glutathione transferase omega 1−1. Anal Biochem. 2008;374:25–30. [PubMed] 43. Torta F, Usuelli V, Malgaroli A, Bachi A. Proteomic analysis of protein S-nitrosylation. Proteomics. 2008;8:4484–4494. [PubMed] 44. Poole LB, Nelson KJ. Discovering mechanisms of signaling-mediated cysteine oxidation. Curr Opin Chem Biol. 2008;12:18–24. [PubMed] 45. Vila A, et al. Identification of protein targets of 4-hydroxynonenal using click chemistry for ex vivo biotinylation of azido and alkynyl derivatives. Chem Res Toxicol. 2008;21:432–444. [PubMed] 46. Hafner M, et al. Inhibition of cytohesins by SecinH3 leads to hepatic insulin resistance. Nature. 2006;444:941–944. [PubMed] 47. Antczak C, Radu C, Djaballah H. A profiling platform for the identification of selective metalloprotease inhibitors. J Biomol Screen. 2008;13:285–294. [PubMed] 48. Patricelli MP, et al. Functional interrogation of the kinome using nucleotide acyl phosphates. Biochemistry. 2007;46:350–358. [PubMed] 49. Chandonia JM, Brenner SE. The impact of structural genomics: expectations and outcomes. Science. 2006;311:347–351. [PubMed] |
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Nat Chem Biol. 2007 Aug; 3(8):466-79.
[Nat Chem Biol. 2007]Nat Chem Biol. 2007 Aug; 3(8):442-6.
[Nat Chem Biol. 2007]Biochemistry. 2007 Nov 13; 46(45):13019-30.
[Biochemistry. 2007]Chem Biol. 2005 Jun; 12(6):703-15.
[Chem Biol. 2005]Cancer Cell. 2003 Mar; 3(3):285-96.
[Cancer Cell. 2003]Nucleic Acids Res. 2004; 32(18):5452-63.
[Nucleic Acids Res. 2004]Nat Genet. 1998 Aug; 19(4):371-4.
[Nat Genet. 1998]Chem Rev. 2006 Aug; 106(8):3279-301.
[Chem Rev. 2006]Annu Rev Biochem. 2008; 77():383-414.
[Annu Rev Biochem. 2008]Proc Natl Acad Sci U S A. 2002 Aug 6; 99(16):10335-40.
[Proc Natl Acad Sci U S A. 2002]Nat Biotechnol. 2002 Aug; 20(8):805-9.
[Nat Biotechnol. 2002]Science. 2002 Dec 6; 298(5600):2002-6.
[Science. 2002]Chem Biol. 2007 Dec; 14(12):1347-56.
[Chem Biol. 2007]Nat Methods. 2005 Sep; 2(9):691-7.
[Nat Methods. 2005]J Am Chem Soc. 2007 Aug 8; 129(31):9594-5.
[J Am Chem Soc. 2007]Nat Genet. 1998 Aug; 19(4):371-4.
[Nat Genet. 1998]Proteins. 2009 Feb 1; 74(2):526-9.
[Proteins. 2009]Chem Biol. 2007 Dec; 14(12):1347-56.
[Chem Biol. 2007]Proc Natl Acad Sci U S A. 2002 Aug 6; 99(16):10335-40.
[Proc Natl Acad Sci U S A. 2002]Proteomics. 2001 Sep; 1(9):1067-71.
[Proteomics. 2001]Nat Biotechnol. 2003 Jun; 21(6):687-91.
[Nat Biotechnol. 2003]Proc Natl Acad Sci U S A. 1999 Dec 21; 96(26):14694-9.
[Proc Natl Acad Sci U S A. 1999]Bioorg Med Chem Lett. 2008 Nov 15; 18(22):5838-41.
[Bioorg Med Chem Lett. 2008]Chem Biol. 2005 Jun; 12(6):649-56.
[Chem Biol. 2005]Nat Chem Biol. 2005 Aug; 1(3):146-8.
[Nat Chem Biol. 2005]J Med Chem. 2007 May 17; 50(10):2385-90.
[J Med Chem. 2007]Nat Protoc. 2006; 1(2):550-3.
[Nat Protoc. 2006]Chem Biol. 2007 Dec; 14(12):1386-92.
[Chem Biol. 2007]Nat Biotechnol. 2007 Feb; 25(2):197-206.
[Nat Biotechnol. 2007]Proc Natl Acad Sci U S A. 1966 Dec; 56(6):1867-1874.
[Proc Natl Acad Sci U S A. 1966]Cell. 1977 Jan; 10(1):61-6.
[Cell. 1977]Curr Drug Metab. 2002 Aug; 3(4):425-38.
[Curr Drug Metab. 2002]Proteins. 2009 Feb 1; 74(2):526-9.
[Proteins. 2009]Annu Rev Pharmacol Toxicol. 2005; 45():51-88.
[Annu Rev Pharmacol Toxicol. 2005]Nat Biotechnol. 2002 Aug; 20(8):805-9.
[Nat Biotechnol. 2002]J Proteome Res. 2007 Feb; 6(2):772-80.
[J Proteome Res. 2007]J Biol Chem. 2000 Aug 11; 275(32):24798-806.
[J Biol Chem. 2000]Methods Enzymol. 2005; 401():78-99.
[Methods Enzymol. 2005]Nat Biotechnol. 2002 Aug; 20(8):805-9.
[Nat Biotechnol. 2002]Biochem J. 1997 Jul 15; 325 ( Pt 2)():417-22.
[Biochem J. 1997]Mol Cell Proteomics. 2002 Oct; 1(10):828-35.
[Mol Cell Proteomics. 2002]Proc Natl Acad Sci U S A. 2002 Mar 5; 99(5):2743-7.
[Proc Natl Acad Sci U S A. 2002]Anal Biochem. 2008 Mar 1; 374(1):25-30.
[Anal Biochem. 2008]Nucleic Acids Res. 2004; 32(18):5452-63.
[Nucleic Acids Res. 2004]Proteomics. 2008 Nov; 8(21):4484-94.
[Proteomics. 2008]Curr Opin Chem Biol. 2008 Feb; 12(1):18-24.
[Curr Opin Chem Biol. 2008]Chem Res Toxicol. 2008 Feb; 21(2):432-44.
[Chem Res Toxicol. 2008]Proteins. 2009 Feb 1; 74(2):526-9.
[Proteins. 2009]Anal Biochem. 2008 Mar 1; 374(1):25-30.
[Anal Biochem. 2008]Nature. 2006 Dec 14; 444(7121):941-4.
[Nature. 2006]J Biomol Screen. 2008 Apr; 13(4):285-94.
[J Biomol Screen. 2008]Nat Methods. 2005 Sep; 2(9):691-7.
[Nat Methods. 2005]Chem Biol. 2007 Dec; 14(12):1347-56.
[Chem Biol. 2007]Biochemistry. 2007 Jan 16; 46(2):350-8.
[Biochemistry. 2007]Chem Rev. 2006 Aug; 106(8):3279-301.
[Chem Rev. 2006]Annu Rev Biochem. 2008; 77():383-414.
[Annu Rev Biochem. 2008]Science. 2006 Jan 20; 311(5759):347-51.
[Science. 2006]Proc Natl Acad Sci U S A. 1999 Dec 21; 96(26):14694-9.
[Proc Natl Acad Sci U S A. 1999]Proteomics. 2001 Sep; 1(9):1067-71.
[Proteomics. 2001]Mol Cell Proteomics. 2002 Oct; 1(10):828-35.
[Mol Cell Proteomics. 2002]Anal Biochem. 2008 Mar 1; 374(1):25-30.
[Anal Biochem. 2008]Anal Biochem. 2008 Mar 1; 374(1):25-30.
[Anal Biochem. 2008]J Biol Chem. 2000 Aug 11; 275(32):24798-806.
[J Biol Chem. 2000]