Identifying the cellular targets of bioactive small molecules with activity-based probes

Ipomoeassin F Binds Sec61α to Inhibit Protein Translocation

Ipomoeassin F is a potent natural cytotoxin that inhibits growth of many tumor cell lines with single-digit nanomolar potency. However, its biological and pharmacological properties have remained largely unexplored. Building upon our earlier achievements in total synthesis and medicinal chemistry, we used chemical proteomics to identify Sec61α (protein transport protein Sec61 subunit alpha isoform 1), the pore-forming subunit of the Sec61 protein translocon, as a direct binding partner of ipomoeassin F in living cells. The interaction is specific and strong enough to survive lysis conditions, enabling a biotin analogue of ipomoeassin F to pull down Sec61α from live cells, yet it is also reversible, as judged by several experiments including fluorescent streptavidin staining, delayed competition in affinity pulldown, and inhibition of TNF biogenesis after washout. Sec61α forms the central subunit of the ER protein translocation complex, and the binding of ipomoeassin F results in a substantial, yet selective, inhibition of protein translocation in vitro and a broad ranging inhibition of protein secretion in live cells. Lastly, the unique resistance profile demonstrated by specific amino acid single-point mutations in Sec61α provides compelling evidence that Sec61α is the primary molecular target of ipomoeassin F and strongly suggests that the binding of this natural product to Sec61α is distinctive. Therefore, ipomoeassin F represents the first plant-derived, carbohydrate-based member of a novel structural class that offers new opportunities to explore Sec61α function and to further investigate its potential as a therapeutic target for drug discovery.

Network pharmacology strategies toward multi-target anticancer therapies: from computational models to experimental design principles

Polypharmacology has emerged as novel means in drug discovery for improving treatment response in clinical use. However, to really capitalize on the polypharmacological effects of drugs, there is a critical need to better model and understand how the complex interactions between drugs and their cellular targets contribute to drug efficacy and possible side effects. Network graphs provide a convenient modeling framework for dealing with the fact that most drugs act on cellular systems through targeting multiple proteins both through on-target and off-target binding. Network pharmacology models aim at addressing questions such as how and where in the disease network should one target to inhibit disease phenotypes, such as cancer growth, ideally leading to therapies that are less vulnerable to drug resistance and side effects by means of attacking the disease network at the systems level through synergistic and synthetic lethal interactions. Since the exponentially increasing number of potential drug target combinations makes pure experimental approach quickly unfeasible, this review depicts a number of computational models and algorithms that can effectively reduce the search space for determining the most promising combinations for experimental evaluation. Such computational-experimental strategies are geared toward realizing the full potential of multi-target treatments in different disease phenotypes. Our specific focus is on system-level network approaches to polypharmacology designs in anticancer drug discovery, where we give representative examples of how network-centric modeling may offer systematic strategies toward better understanding and even predicting the phenotypic responses to multi-target therapies.

Design and synthesis of tag-free photoprobes for the identification of the molecular target for CCG-1423, a novel inhibitor of the Rho/MKL1/SRF signaling pathway

CCG-1423 and related analogues represent a new class of inhibitors of Rho/MKL1/SRF-mediated gene transcription, a pathway that has been implicated in both cancer and fibrosis. The molecular target for these compounds is unknown. To facilitate its identification, a series of tag-free photoaffinity probes was designed and synthesized, each one containing a photoactivatable group and an acetylenic end group for subsequent attachment to a fluorescent tag using click chemistry. All were confirmed to maintain biological activity in a cell-based assay for inhibition of SRE-Luc expression. The functional activity of the most potent probe 24 was further confirmed in an assay for PC-3 cell migration. Photolysis of 24 in intact PC-3 cells followed by cell lysis, click ligation of a fluorescent dye, and gel electrophoresis revealed specific labeling of a single 24 kDa band that could be blocked with an active competitor. Future work will focus on identifying the labeled protein(s).

Biotinylated quercetin as an intrinsic photoaffinity proteomics probe for the identification of quercetin target proteins

Quercetin is a flavonoid natural product, that is, found in many foods and has been found to have a wide range of medicinal effects. Though a number of quercetin binding proteins have been identified, there has been no systematic approach to identifying all potential targets of quercetin. We describe an O7-biotinylated derivative of quercetin (BioQ) that can act as a photoaffinity proteomics reagent for capturing quercetin binding proteins, which can then be identified by LC-MS/MS. BioQ was shown to inhibit heat induction of HSP70 with almost the same efficiency as quercetin, and to both inhibit and photocrosslink to CK2 kinase, a known target of quercetin involved in activation of the heat shock transcription factor. BioQ was also able to pull down a number of proteins from unheated and heated Jurkat cells following UV irradiation that could be detected by both silver staining and Western blot analysis with an anti-biotin antibody. Analysis of the protein bands by trypsinization and LC-MS/MS led to the identification of heat shock proteins HSP70 and HSP90 as possible quercetin target proteins, along with ubiquitin-activating enzyme, a spliceosomal protein, RuvB-like 2 ATPases, and eukaryotic translation initiation factor 3. In addition, a mitochondrial ATPase was identified that has been previously shown to be a target of quercetin. Most of the proteins identified have also been previously suggested to be potential anticancer targets, suggesting that quercetin's antitumor activity may be due to its ability to inhibit multiple target proteins.

Solid-phase total synthesis of (-)-apratoxin A and its analogues and their biological evaluation

Two approaches for the solid-phase total synthesis of apratoxin A and its derivatives were accomplished. In synthetic route A, the peptide was prepared by the sequential coupling of the corresponding amino acids on trityl chloride SynPhase Lanterns. After cleavage from the polymer-support, macrolactamization of 10, followed by thiazoline formation, provided apratoxin A. This approach, however, resulted in low yield because the chemoselectivity was not sufficient for the formation of the thiazoline ring though its analogue 33 was obtained. However, in synthetic route B, a cyclization precursor was prepared by solid-phase peptide synthesis by using amino acids 13-15 and 18. The final macrolactamization was performed in solution to provide apratoxin A in high overall yield. This method was then successfully applied to the synthesis of apratoxin analogues. The cytotoxic activity of the synthetic derivatives was then evaluated. The epimer 34 was as potent as apratoxin A, and O-methyl tyrosine can be replaced by 7-azidoheptyl tyrosine without loss of activity. The 1,3-dipolar cycloaddition of 38 with phenylacetylene was performed in the presence of a copper catalyst without affecting the thiazoline ring.

Transcript profiling and RNA interference as tools to identify small molecule mechanisms and therapeutic potential

The identification of the mechanism of action and therapeutic potential of bioactive small molecules remains a considerable challenge in the field of drug discovery and chemical biology. Apart from traditional target identification techniques, new tools have emerged that can significantly aid mechanism elucidation efforts. The development of pattern matching algorithms that compare transcription profile data to analogous data on compounds with known cellular targets allows for mechanistic insights without the need to synthesize chemically modified probes. In addition, such methods can be used to connect small molecules to particular disease states, thus aiding the rational identification of candidate therapeutics. Another method with considerable potential is whole-genome RNAi screening, a technique that can identify critical upstream proteins involved in a small molecule's mechanism of action. Several proof-of-concept studies using compounds with known cellular targets suggest this tool will enable mechanistic characterization of bioactive small molecules with unknown mechanisms. This Review highlights recent successes in using these pattern matching and chemical genetic tools, with the goal of uncovering small molecule mechanisms and identifying therapeutic candidates for disease treatment.

Probing cathepsin S activity in whole blood by the activity-based probe BIL-DMK: cellular distribution in human leukocyte populations and evidence of diurnal modulation

Using the cell-permeable, radioiodinated, irreversible inhibitor BIL-DMK, we probed active cysteine cathepsins in blood. Incubation of the probe in human whole blood followed by separation of white blood cells by dextran sedimentation led to the labeling of one major band at 24kDa. Two-dimensional gel electrophoresis showed that the band resolved in a single protein spot and corresponded to cathepsin S based on its molecular mass, isoelectric point, and Western blot analysis using anti-human cathepsin S antibodies. Cathepsin S activity in human whole blood was dependent on the time of blood collection, suggesting that cathepsin S activity is subject to circadian variations. Separation of white blood cell populations using a magnetic cell sorter and further characterization by FACS (fluorescent-activated cell sorting) analysis demonstrated that the majority of active cathepsin S resided in the monocyte and neutrophil populations, whereas on a cell basis cathepsin S activity in granulocytes is 10-fold lower than that in monocytes. A whole blood cathepsin S assay was developed and used to measure cathepsin S inhibition in both in vitro and ex vivo conditions. To determine the correlation between the in vitro and ex vivo assays, a reversible cathepsin S inhibitor was dosed intravenously to a rhesus monkey. The inhibitor concentration required to inhibit 50% of the cathepsin S activity ex vivo correlated well with the concentration required to inhibit the enzyme in rhesus monkey whole blood in vitro. The results reported here demonstrate the utility of the activity-based probe BIL-DMK for the ex vivo assessment of cathepsin S inhibition.