Chemical Proteomics Applied to Target Identification and Drug Discovery

The Cyanobacterial "Nutraceutical" Phycocyanobilin Inhibits Cysteine Protease Legumain

The blue biliprotein phycocyanin, produced by photo-autotrophic cyanobacteria including spirulina (Arthrospira) and marketed as a natural food supplement or "nutraceutical," is reported to have anti-inflammatory, antioxidant, immunomodulatory, and anticancer activity. These diverse biological activities have been specifically attributed to the phycocyanin chromophore, phycocyanobilin (PCB). However, the mechanism of action of PCB and the molecular targets responsible for the beneficial properties of PCB are not well understood. We have developed a procedure to rapidly cleave the PCB pigment from phycocyanin by ethanolysis and then characterized it as an electrophilic natural product that interacts covalently with thiol nucleophiles but lacks any appreciable cytotoxicity or antibacterial activity against common pathogens and gut microbes. We then designed alkyne-bearing PCB probes for use in chemical proteomics target deconvolution studies. Target identification and validation revealed the cysteine protease legumain (also known as asparaginyl endopeptidase, AEP) to be a target of PCB. Inhibition of this target may account for PCB's diverse reported biological activities.

3-Oxo-β-sultam as a Sulfonylating Chemotype for Inhibition of Serine Hydrolases and Activity-Based Protein Profiling

3-Oxo-β-sultams are four-membered ring ambident electrophiles that can react with nucleophiles either at the carbonyl carbon or at the sulfonyl sulfur atoms, and that have been reported to inhibit serine hydrolases via acylation of the active-site serine residue. We have developed a panel of 3-oxo-β-sultam inhibitors and show, through crystallographic data, that they are regioselective sulfonylating electrophiles, covalently binding to the catalytic serine of human and porcine elastases through the sulfur atom. Application of 3-oxo-β-sultam-derived activity-based probes in a human proteome revealed their potential to label disease-related serine hydrolases and proteasome subunits. Activity-based protein profiling applications of 3-oxo-β-sultams should open up new opportunities to investigate these classes of enzymes in complex proteomes and expand the toolbox of available sulfur-based covalent protein modifiers in chemical biology.

3D Chemical Similarity Networks for Structure-Based Target Prediction and Scaffold Hopping

Target identification remains a major challenge for modern drug discovery programs aimed at understanding the molecular mechanisms of drugs. Computational target prediction approaches like 2D chemical similarity searches have been widely used but are limited to structures sharing high chemical similarity. Here, we present a new computational approach called chemical similarity network analysis pull-down 3D (CSNAP3D) that combines 3D chemical similarity metrics and network algorithms for structure-based drug target profiling, ligand deorphanization, and automated identification of scaffold hopping compounds. In conjunction with 2D chemical similarity fingerprints, CSNAP3D achieved a >95% success rate in correctly predicting the drug targets of 206 known drugs. Significant improvement in target prediction was observed for HIV reverse transcriptase (HIVRT) compounds, which consist of diverse scaffold hopping compounds targeting the nucleotidyltransferase binding site. CSNAP3D was further applied to a set of antimitotic compounds identified in a cell-based chemical screen and identified novel small molecules that share a pharmacophore with Taxol and display a Taxol-like mechanism of action, which were validated experimentally using in vitro microtubule polymerization assays and cell-based assays.

Chemistry-based functional proteomics for drug target deconvolution

Drug target deconvolution, a process that identifies targets to small molecules in complex biological samples, which underlie the biological responses that are observed when a drug is administered, plays an important role in current drug discovery. Despite the fact that genomics and proteomics have provided a flood of information that contributes to the progress of drug target identification and validation, the current approach to drug target deconvolution still poses dilemmas. Chemistry-based functional proteomics, a multidisciplinary strategy, has become the preferred method of choice to deconvolute drug target pools, based on direct interactions between small molecules and their protein targets. This approach has already identified a broad panel of previously undefined enzymes with potential as drug targets and defined targets that can rationalize side effects and toxicity for new drug candidates and existing therapeutics. Herein, the authors discuss both activity-based protein profiling and compound-centric chemical proteomics approaches used in chemistry-based functional proteomics and their applications for the identification and characterization of small molecular targets.

Affinity-based profiling of dehydrogenase subproteomes

The high cost of drug discovery and development requires more efficient approaches to the identification and inhibition of tractable protein targets. One strategy is to pursue families of proteins that already possess affinity for a drug lead scaffold, where that scaffold plays the dual role of serving (a) when tethered to a resin, as a ligand to purify a subproteome of interest, and (b) as a lead molecule that has the potential for optimization for a given member of the subproteome. Here, we describe an example of the purification of a subproteome using a scaffold tailored to the dehydrogenase family of enzymes. Combined with modern LC-MS/MS methods and subsequent searching of proteome databases, such affinity chromatography strategies can be used to purify and identify any proteins with affinity for the scaffold molecule. The method is exemplified using the CRAA (catechol rhodanine acetic acid) privileged scaffold, which is tailored to dehydrogenases. CRAA affinity column chromatography, combined with LC-MS/MS, is described as a method for profiling dehydrogenase subproteomes.

Optical imaging for the new grammar of drug discovery

Optical technologies used in biomedical research have undergone tremendous development in the last decade and enabled important insight into biochemical, cellular and physiological phenomena at the microscopic and macroscopic level. Historically in drug discovery, to increase throughput in screening, or increase efficiency through automation of image acquisition and analysis in pathology, efforts in imaging were focused on the reengineering of established microscopy solutions. However, with the emergence of the new grammar for drug discovery, other requirements and expectations have created unique opportunities for optical imaging. The new grammar of drug discovery provides rules for translating the wealth of genomic and proteomic information into targeted medicines with a focus on complex interactions of proteins. This paradigm shift requires highly specific and quantitative imaging at the molecular level with tools that can be used in cellular assays, animals and finally translated into patients. The development of fluorescent targeted and activatable 'smart' probes, fluorescent proteins and new reporter gene systems as functional and dynamic markers of molecular events in vitro and in vivo is therefore playing a pivotal role. An enabling optical imaging platform will combine optical hardware refinement with a strong emphasis on creating and validating highly specific chemical and biological tools.

Using peptidyl aldehydes in activity-based proteomics

The broad inhibitory spectrum of aldehydes and the possibility that amino acid residues modulate their specificity point to the potential of using peptidyl aldehydes as activity-based probes. Here, we establish the potential of peptidyl aldehydes in activity-based proteomics by synthesizing different probes and using them to specifically label a well-known serine protease in an activity-dependent manner. From our results, peptidyl aldehydes emerge as promising activity-based probes that enable multiple enzymatic-class detection by substrate recognition and can be used in diverse activity-based proteomics applications like protein identification and activity profiling.

Introduction to Chemical Proteomics for Drug Discovery and Development

A fundamental goal of chemical proteomics is to identify target proteins for bioactive small molecules and then apply them to drug discovery and development as valid and drugable targets. Here, we introduce integrated technologies for the rapid identification of target proteins, methodologies for validating them as drugable targets, and applications of chemical proteomics in drug discovery and development.

A phage antibody to the active site of human placental alkaline phosphatase with higher affinity to the enzyme–substrate complex

Selection of specific antibodies from large repertoires is of importance in generating antibodies to specific structural determinants and in studying structure-function relationships. Alkaline phosphatase (AP) has several isozymes with various degrees of homology and a range of common synthetic substrates. We have previously reported the generation of isozyme specific anti-enzyme antibodies to an oncofetal antigen, placental alkaline phosphatase (PLAP) by using a specific uncompetitive inhibitor, L-Phe-Gly-Gly along with the substrate para-nitrophenyl phosphate (pNPP), to elute scFvs from a phage-displayed immunoglobulin library. These antibodies were directed to the active site and inhibited enzyme activity. An uncompetitive inhibitor acts by stabilizing the enzyme-substrate (ES) complex. In the present work, we report the characteristics of a clone VE5, selected by the same method. This clone has a higher binding affinity for ES complex than for enzyme alone. This is true for all the three isozymes (placental, bone and intestinal) tested. However, the other synthetic small molecular substrate, disodium phenyl phosphate inhibits phage binding. The clone possibly binds to the conserved structures of the active site of the AP isozymes and the higher affinity binding to AP-pNPP complex reflects the method of selection. Such anti-enzyme antibodies have a possible potential role in dissecting structure-function relationship of enzymatic antigens.

Specificity of aza-peptide electrophile activity-based probes of caspases

Activity-Based Probes (ABPs) are small molecules that form stable covalent bonds with active enzymes thereby allowing detection and quantification of their activities in complex proteomes. A number of ABPs that target proteolytic enzymes have been designed based on well-characterized mechanism-based inhibitors. We describe here the evaluation of a novel series of ABPs based on the aza-aspartate inhibitory scaffold. Previous in vitro kinetic studies showed that this scaffold has a high degree of selectivity for the caspases, clan CD cysteine proteases activated during apoptotic cell death. Aza-aspartate ABPs containing either an epoxide or Michael acceptor reactive group were potent labels of executioner caspases in apoptotic cell extracts. However they were also effective labels of the clan CD protease legumain and showed unexpected crossreactivity with the clan CA protease cathepsin B. Interestingly, related aza peptides containing an acyloxymethyl ketone reactive group were relatively weak but highly selective labels of caspases. Thus azapeptide electrophiles are valuable new ABPs for both detection of a broad range of cysteine protease activities and for selective targeting of caspases. This study also highlights the importance of confirming the specificity of covalent protease inhibitors in crude proteomes using reagents such as the ABPs described here.

Identification and characterization of DNA-binding proteins by mass spectrometry

Mass spectrometry is the most sensitive and specific analytical technique available for protein identification and quantification. Over the past 10 years, by the use of mass spectrometric techniques hundreds of previously unknown proteins have been identified as DNA-binding proteins that are involved in the regulation of gene expression, replication, or DNA repair. Beyond this task, the applications of mass spectrometry cover all aspects from sequence and modification analysis to protein structure, dynamics, and interactions. In particular, two new, complementary ionization techniques have made this possible: matrix-assisted laser desorption/ionization and electrospray ionization. Their combination with different mass-over-charge analyzers and ion fragmentation techniques, as well as specific enzymatic or chemical reactions and other analytical techniques, has led to the development of a broad repertoire of mass spectrometric methods that are now available for the identification and detailed characterization of DNA-binding proteins. These techniques, how they work, what their requirements and limitations are, and selected examples that document their performance are described and discussed in this chapter.

Selective photolabeling of Lck kinase in complex proteome

A molecular probe that selectively tags Lck, a Src-family kinase, was developed. This probe was one of many compounds originally designed to target the active site of tyrosine kinases in general. To our surprise, however, the probe almost exclusively labeled Lck even in a lysate of Jurkat cells. This finding led us to further characterize this probe-Lck complex by a series of photolabeling and mass spectrometric analyses. The probe-binding site on Lck was located within the well-conserved region of Src-family kinases, as we originally expected. However, the unexpected selectivity of this probe toward Lck suggests that subtle factors, which are difficult to predict based on static crystal structures, play important roles in probe recognition.

Mass spectrometry-based proteomics turns quantitative

The field of proteomics is built on technologies to analyze large numbers of proteins--ideally the entire proteome--in the same experiment. Mass spectrometry (MS) has been successfully used to characterize proteins in complex mixtures, but results so far have largely been qualitative. Two recently developed methodologies offer the opportunity to obtain quantitative proteomic information. Comparing the signals from the same peptide under different conditions yields a rough estimate of relative protein abundance between two proteomes. Alternatively, and more accurately, peptides are labeled with stable isotopes, introducing a predictable mass difference between peptides from two experimental conditions. Stable isotope labels can be incorporated 'post-harvest', by chemical approaches or in live cells through metabolic incorporation. This isotopic handle facilitates direct quantification from the mass spectra. Using these quantitative approaches, precise functional information as well as temporal changes in the proteome can be captured by MS.

Assignment of protein function in the postgenomic era

Genome sequencing projects have provided researchers with an unprecedented boon of molecular information that promises to revolutionize our understanding of life and lead to new treatments of its disorders. However, genome sequences alone offer only limited insights into the biochemical pathways that determine cell and tissue function. These complex metabolic and signaling networks are largely mediated by proteins. The vast number of uncharacterized proteins found in prokaryotic and eukaryotic systems suggests that our knowledge of cellular biochemistry is far from complete. Here, we highlight a new breed of 'postgenomic' methods that aim to assign functions to proteins through the integrated application of chemical and biological techniques.