Key Points
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In this postgenomic era, the perceived 'failure' of target-based drug discovery (in part owing to the complexities of biological systems and disease pathophysiology) has recently led to the renaissance of a more holistic approach that involves screening small organic molecules to determine whether they elicit any phenotypic changes in mammalian cells and model organisms.
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The retrospective identification of the molecular targets that underlie observed phenotypic responses — termed target deconvolution — is important for elucidating biological mechanisms of disease and will also greatly aid rational drug design and enable efficient structure–activity relationship studies to be carried out in a chemical optimization programme by configuration of target-specific assays.
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A wide range of experimental strategies can in principle be applied to the identification of targets that mediate phenotypic effects. The choice will often mainly be influenced by the properties of the small molecule.
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Methods that lead to the direct identification of targets typically exploit the affinity between the small organic molecule and its target protein. These methods include affinity chromatography, three-hybrid systems, phage and mRNA display, protein and 'reverse-transfected' cell microarrays, and biochemical suppression.
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Methods that are based on comprehensive DNA microarray or proteomics analyses can aid target deconvolution because they investigate the mode of action of an active small molecule. In a more indirect way, these technologies can also lead to the identification of molecular targets.
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The final aim of target deconvolution is not only the identification of biological targets that directly interact with the small molecule, but also the demonstration that the target's modulation is associated with functional effects that are detectable in the phenotypic assay. The 'authenticity' of targets can be confirmed by functional studies that employ a variety of methods, such as RNA interference and protein overexpression.
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Since phenotype-based drug discovery regained momentum, target deconvolution has become an important aspect of current drug discovery.
Abstract
Recognition of some of the limitations of target-based drug discovery has recently led to the renaissance of a more holistic approach in which complex biological systems are investigated for phenotypic changes upon exposure to small molecules. The subsequent identification of the molecular targets that underlie an observed phenotypic response — termed target deconvolution — is an important aspect of current drug discovery, as knowledge of the molecular targets will greatly aid drug development. Here, the broad panel of experimental strategies that can be applied to target deconvolution is critically reviewed.
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References
Sneader, W. Drug discovery: a history (John Wiley & Sons, Chichester, UK, 2005).
International Human Genome Sequencing Consortium. Finishing the euchromatic sequence of the human genome. Nature 431, 931–945 (2004).
Lander, E. S. et al. Initial sequencing and analysis of the human genome. Nature 409, 860–921 (2001).
Venter, J. C. et al. The sequence of the human genome. Science 291, 1304–1351 (2001).
Overington, J. P., Al-Lazikani, B. & Hopkins, A. L. How many drug targets are there? Nature Rev. Drug Discov. 5, 993–996 (2006). This study examines the results of a comprehensive survey and proposes a consensus number of current drug targets for all classes of therapeutic drugs.
Sams-Dodd, F. Target-based drug discovery: is something wrong? Drug Discov. Today 10, 139–147 (2005).
Butcher, E. C. Can cell systems biology rescue drug discovery? Nature Rev. Drug Discov. 4, 461–467 (2005).
Strausberg, R. L. & Schreiber, S. L. From knowing to controlling: a path from genomics to drugs using small molecule probes. Science 300, 294–295 (2003).
Graziani, F., Aldegheri, L. & Terstappen, G. C. High throughput scintillation proximity assay for the identification of FKBP-12 ligands. J. Biomol. Screen. 4, 3–7 (1999).
Caligiuri, M. et al. MASPIT: three-hybrid trap for quantitative proteome fingerprinting of small molecule–protein interactions in mammalian cells. Chem. Biol. 13, 711–722 (2006). This paper describes the application of methotrexate-linked small-molecule ligands to the configuration of a mammalian three-hybrid interaction trap for the proteome-wide identification of small molecule targets.
Harding, M. W., Galat, A., Uehling, D. E. & Schreiber, S. L. A receptor for the immunosuppressant FK506 is a cis–trans peptidyl-prolyl isomerase. Nature 341, 758–760 (1989).
Licitra, E. J. & Liu, J. O. A three-hybrid system for detecting small ligand–protein receptor interactions. Proc. Natl Acad. Sci. USA 93, 12817–12821 (1996). This study demonstrates that a yeast three-hybrid system can be used to discover receptors for small ligands.
MacBeath, G. & Schreiber, S. L. Printing proteins as microarrays for high-throughput function determination. Science 289, 1760–1763 (2000). This study demonstrates that protein microarrays can be used for the identification of protein targets of small molecules.
McPherson, M., Yang, Y., Hammond, P. W. & Kreider, B. L. Drug receptor identification from multiple tissues using cellular-derived mRNA display libraries. Chem. Biol. 9, 691–698 (2002). This proof-of-concept study demonstrates that mRNA display technology can be used to select proteins that bind to a drug of interest.
Sche, P. P., McKenzie, K. M., White, J. D. & Austin, D. J. Display cloning: functional identification of natural product receptors using cDNA-phage display. Chem. Biol. 6, 707–716 (1999).
Siekierka, J. J., Hung, S. H., Poe, M., Lin, C. S. & Sigal, N. H. A cytosolic binding protein for the immunosuppressant FK506 has peptidyl-prolyl isomerase activity but is distinct from cyclophilin. Nature 341, 755–757 (1989).
Ziauddin, J. & Sabatini, D. M. Microarrays of cells expressing defined cDNAs. Nature 411, 107–110 (2001). This paper demonstrates the feasibility of using reverse-transfected cell microarrays for the identification of drug targets.
Cuatrecasas, P. Affinity chromatography and purification of the insulin receptor of liver cell membranes. Proc. Natl Acad. Sci. USA 69, 1277–1281 (1972).
Taunton, J., Hassig, C. A. & Schreiber, S. L. A mammalian histone deacetylase related to the yeast transcriptional regulator Rpd3p. Science 272, 408–411 (1996).
Guiffant, D. et al. Identification of intracellular targets of small molecular weight chemical compounds using affinity chromatography. Biotechnol. J. 2, 68–75 (2007).
Laing, P. Luminescent visualization of antigens on blots. J. Immunol. Methods 92, 161–165 (1986).
Bennett, K. L., Brond, J. C., Kristensen, D. B., Podtelejnikov, A. V. & Wisniewski, J. R. Analysis of large-scale MS data sets: the dramas and the delights. Drug Discov. Today: TARGETS 3 (Suppl. 1), 43–49 (2005).
Schuchardt, S. & Sickmann, A. Protein identification using mass spectrometry: a method overview. EXS 97, 141–170 (2007).
Yates, J. R. III. Mass spectrometry and the age of the proteome. J. Mass Spectrom. 33, 1–19 (1998).
Hahn, R., Berger, E., Pflegerl, K. & Jungbauer, A. Directed immobilization of peptide ligands to accessible pore sites by conjugation with a placeholder molecule. Anal. Chem. 75, 543–548 (2003).
Shaltiel, S. Hydrophobic chromatography. Methods Enzymol. 104, 69–96 (1984).
Shiyama, T., Furuya, M., Yamazaki, A., Terada, T. & Tanaka, A. Design and synthesis of novel hydrophilic spacers for the reduction of nonspecific binding proteins on affinity resins. Bioorg. Med. Chem. 12, 2831–2841 (2004).
Bach, S. et al. Roscovitine targets, protein kinases and pyridoxal kinase. J. Biol. Chem. 280, 31208–31219 (2005).
Sato, S. et al. Polyproline-rod approach to isolating protein targets of bioactive small molecules: isolation of a new target of indomethacin. J. Am. Chem. Soc. 129, 873–880 (2007).
Godl, K. et al. An efficient proteomics method to identify the cellular targets of protein kinase inhibitors. Proc. Natl Acad. Sci. USA 100, 15434–15439 (2003).
Emami, K. H. et al. A small molecule inhibitor of β-catenin/CREB-binding protein transcription. Proc. Natl Acad. Sci. USA 101, 12682–12687 (2004).
Snyder, J. R. et al. Dissection of melanogenesis with small molecules identifies prohibitin as a regulator. Chem. Biol. 12, 477–484 (2005).
Wang, G., Shang, L., Burgett, A. W., Harran, P. G. & Wang, X. Diazonamide toxins reveal an unexpected function for ornithine δ-amino transferase in mitotic cell division. Proc. Natl Acad. Sci. USA 104, 2068–2073 (2007).
Shimizu, N. et al. High-performance affinity beads for identifying drug receptors. Nature Biotech. 18, 877–881 (2000).
Labrou, N. & Clonis, Y. D. The affinity technology in downstream processing. J. Biotechnol. 36, 95–119 (1994).
Graves, P. R. et al. Discovery of novel targets of quinoline drugs in the human purine binding proteome. Mol. Pharmacol. 62, 1364–1372 (2002).
Oda, Y. et al. Quantitative chemical proteomics for identifying candidate drug targets. Anal. Chem. 75, 2159–2165 (2003).
Yamamoto, K., Yamazaki, A., Takeuchi, M. & Tanaka, A. A versatile method of identifying specific binding proteins on affinity resins. Anal. Biochem. 352, 15–23 (2006).
Fields, S. & Song, O. A novel genetic system to detect protein–protein interactions. Nature 340, 245–246 (1989).
Becker, F. et al. A three-hybrid approach to scanning the proteome for targets of small molecule kinase inhibitors. Chem. Biol. 11, 211–223 (2004).
Gray, N. S. et al. Exploiting chemical libraries, structure, and genomics in the search for kinase inhibitors. Science 281, 533–538 (1998).
Knockaert, M. et al. Intracellular targets of cyclin-dependent kinase inhibitors: identification by affinity chromatography using immobilised inhibitors. Chem. Biol. 7, 411–422 (2000).
Nagar, B. et al. Crystal structures of the kinase domain of c-Abl in complex with the small molecule inhibitors PD173955 and imatinib (STI-571). Cancer Res. 62, 4236–4243 (2002).
Wisniewski, D. et al. Characterization of potent inhibitors of the Bcr–Abl and the c-kit receptor tyrosine kinases. Cancer Res. 62, 4244–4255 (2002).
Smith, G. P. Filamentous fusion phage: novel expression vectors that display cloned antigens on the virion surface. Science 228, 1315–1317 (1985).
Rossenu, S., Dewitte, D., Vandekerckhove, J. & Ampe, C. A phage display technique for a fast, sensitive, and systematic investigation of protein–protein interactions. J. Protein Chem. 16, 499–503 (1997).
Shim, J. S., Lee, J., Park, H. J., Park, S. J. & Kwon, H. J. A new curcumin derivative, HBC, interferes with the cell cycle progression of colon cancer cells via antagonization of the Ca2+/calmodulin function. Chem. Biol. 11, 1455–1463 (2004).
Mattheakis, L. C., Bhatt, R. R. & Dower, W. J. An in vitro polysome display system for identifying ligands from very large peptide libraries. Proc. Natl Acad. Sci. USA 91, 9022–9026 (1994). This paper describes an in vitro protein synthesis system for the construction of large libraries of peptides displayed on polysomes (mRNA display).
Hammond, P. W., Alpin, J., Rise, C. E., Wright, M. & Kreider, B. L. In vitro selection and characterization of Bcl-XL-binding proteins from a mix of tissue-specific mRNA display libraries. J. Biol. Chem. 276, 20898–20906 (2001).
Zhu, H. & Snyder, M. Protein chip technology. Curr. Opin. Chem. Biol. 7, 55–63 (2003).
Jacinto, E. & Hall, M. N. Tor signalling in bugs, brain and brawn. Nature Rev. Mol. Cell Biol. 4, 117–126 (2003).
Huang, J. et al. Finding new components of the target of rapamycin (TOR) signaling network through chemical genetics and proteome chips. Proc. Natl Acad. Sci. USA 101, 16594–16599 (2004).
Peterson, J. R., Lebensohn, A. M., Pelish, H. E. & Kirschner, M. W. Biochemical suppression of small-molecule inhibitors: a strategy to identify inhibitor targets and signaling pathway components. Chem. Biol. 13, 443–452 (2006). This paper introduces a target deconvolution method that is based on functional suppression of chemical inhibition in vitro.
Mayer, T. U. Chemical genetics: tailoring tools for cell biology. Trends Cell Biol. 13, 270–277 (2003).
Giaever, G. et al. Chemogenomic profiling: identifying the functional interactions of small molecules in yeast. Proc. Natl Acad. Sci. USA 101, 793–798 (2004).
Li, X. et al. Multicopy suppressors for novel antibacterial compounds reveal targets and drug efflux susceptibility. Chem. Biol. 11, 1423–1430 (2004).
Luesch, H. et al. A genome-wide overexpression screen in yeast for small-molecule target identification. Chem. Biol. 12, 55–63 (2005).
Gonzalez-Couto, E. et al. Huntington's disease: from experimental results to interaction networks, patho-pathway construction and disease hypothesis. BMC Syst. Biol. 1, 45–47 (2007).
Ekins, S., Nikolsky, Y., Bugrim, A., Kirillov, E. & Nikolskaya, T. Pathway mapping tools for analysis of high content data. Methods Mol. Biol. 356, 319–350 (2007).
Macchiarulo, A., Nobeli, I. & Thornton, J. M. Ligand selectivity and competition between enzymes in silico. Nature Biotech. 22, 1039–1045 (2004).
Mueller, M., Martens, L. & Apweiler, R. Annotating the human proteome: beyond establishing a parts list. Biochim. Biophys. Acta 1774, 175–191 (2007).
Kramer, R. & Cohen, D. Functional genomics to new drug targets. Nature Rev. Drug Discov. 3, 965–972 (2004).
Flordellis, C. S., Manolis, A. S., Paris, H. & Karabinis, A. Rethinking target discovery in polygenic diseases. Curr. Top. Med. Chem. 6, 1791–1798 (2006).
Kola, I. & Landis, J. Can the pharmaceutical industry reduce attrition rates? Nature Rev. Drug Discov. 3, 711–715 (2004).
Hu, L., Xu, S., Pan, C., Zou, H. & Jiang, G. Preparation of a biochip on porous silicon and application for label-free detection of small molecule–protein interactions. Rapid Commun. Mass Spectrom. 21, 1277–1281 (2007).
Zhang, Q. et al. Small-molecule synergist of the Wnt/β-catenin signaling pathway. Proc. Natl Acad. Sci. USA 104, 7444–7448 (2007).
Carroll, P. M. & Fitzgerald, K. Model Organisms in Drug Discovery (Culinary and Hospitality Industry Publications Services, Texas, 2003).
Clemons, P. A. Complex phenotypic assays in high-throughput screening. Curr. Opin. Chem. Biol. 8, 334–338 (2004).
Gangadhar, N. M. & Stockwell, B. R. Chemical genetic approaches to probing cell death. Curr. Opin. Chem. Biol. 11, 83–87 (2007).
Caricasole, A. et al. Induction of Dickkopf-1, a negative modulator of the Wnt pathway, is associated with neuronal degeneration in Alzheimer's brain. J. Neurosci. 24, 6021–6027 (2004).
Barker, N. & Clevers, H. Mining the Wnt pathway for cancer therapeutics. Nature Rev. Drug Discov. 5, 997–1014 (2006).
Lang, P., Yeow, K., Nichols, A. & Scheer, A. Cellular imaging in drug discovery. Nature Rev. Drug Discov. 5, 343–356 (2006).
Ignatenko, N. A. et al. Pharmacogenomics of the polyamine analog 3,8,13,18-tetraaza-10,11-[(E)-1,2-cyclopropyl]eicosane tetrahydrochloride, CGC-11093, in the colon adenocarcinoma cell line HCT1161. Technol. Cancer Res. Treat. 5, 553–564 (2006).
Lamb, J. et al. The connectivity map: using gene-expression signatures to connect small molecules, genes, and disease. Science 313, 1929–1935 (2006). This paper is the first installment of a reference collection of gene-expression profiles from cultured human cells that were treated with 164 bioactive small molecules.
Nature Insight Proteomics. [online] (2003).
Raggiaschi, R. & Terstappen G. C. Proteomics technologies. Biosci. Rep. 25, 1–2 (2005).
Kremer, A., Schneider, R. & Terstappen, G. C. A bioinformatics perspective on proteomics: data storage, analysis, and integration. Biosci. Rep. 25, 95–106 (2005).
Towbin, H. et al. Proteomics-based target identification: bengamides as a new class of methionine aminopeptidase inhibitors. J. Biol. Chem. 278, 52964–52971 (2003).
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Glossary
- Rational drug design
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A strategy by which drug molecules are developed based on knowledge of the target protein, in particular its three-dimensional structure and/or the ligands that bind to it.
- Structure–activity relationship studies
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Studies in which the chemical structure of a bioactive small molecule is modified (for example, by insertion of new chemical groups) to investigate the effect of this modification on the molecule's biological activity. The aim of such studies in a chemical optimization programme is typically to improve the characteristics of the compound, such as its potency and selectivity.
- FK506–FKBP12
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FK506 (also known as Tacrolimus or Fujimycin) is an immunosuppressant organic molecule that binds to the immunophilin FKBP12 (FK506 binding protein 12 kDa), which functions as a protein-folding chaperone for proteins that contain proline residues. Owing to the high affinity between FK506 and FKBP12 (with a dissociation constant of 1.6 nM) and the high cellular abundance of the latter, this pair is often used as a model system for proof-of-concept experiments of affinity-based technologies.
- Dissociation constant
-
(kD). A measure of the affinity of a ligand (for example, a small molecule) for a protein. Its numerical value depends on the equilibrium between the undissociated and the dissociated forms of the molecular complex. The smaller the dissociation constant, the tighter the ligand is bound (or the higher its affinity for the target protein).
- Biotinylation
-
The derivatization of molecules with the small organic molecule biotin (also known as vitamin H or vitamin B7). Biotinylation enables molecules to bind to streptavidin with high affinity (with a dissociation constant of 10−15 M) — a property that has widespread applications in biotechnology.
- cDNA library
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A library comprised of cDNAs that are obtained when mRNA is extracted from a cell and reverse transcribed. The library thus represents all transcribed sequences and hence all proteins that the cell was expressing.
- Sequence-similarity search
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A type of search that provides information about how one nucleotide or protein sequence is related to another. The similarity between the two sequences is expressed as a percentage of sequence identity, and can be used to identify a target protein. Typically, pairwise sequence-search methods such as BLAST and FASTA are used.
- Reporter gene assay
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An assay that is used to investigate the modulation of a signal transduction pathway. An easily detectable reporter gene, such as luciferase, is fused to the promoter sequence of downstream target genes of the pathway under study; modulation of the pathway, such as activation or inhibition, will lead to changes in reporter gene expression (in the case of luciferase, these changes will be measured as luminescence).
- Matrix-assisted laser desorption/ionization mass spectrometry
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(MALDI-MS). An analytical technique that is often used to identify biomolecules such as proteins after they have (typically) been isolated by gel electrophoresis.
- DNA microarray analysis
-
A technique that uses DNA microarrays (gene chips) to investigate the expression of thousands of genes or of a complete genome in parallel. DNA molecules are immobilized on a solid support, then labelled nucleotides are hybridized to their complementary sequences and their signals are detected.
- Haploinsufficiency profiling
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A chemical genomics assay that uses a heterozygous yeast deletion strain in which the gene dosage is reduced to one copy, resulting in a strain that is sensitized to compounds that inhibit the product of the heterozygous locus.
- Surface plasmon resonance
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An optical biosensor technology that measures the association (kA) and dissociation (kD) constants of interactions in a label-free manner. The small-molecule ligand is immobilized onto the surface of a sensor chip and any interaction with the putative target protein will lead to an increase in the refractive index, which is measured in real time.
- Resonance acoustic profiling
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A technology that characterizes molecular binding interactions through the use of oscillating acoustic resonators. Any interaction between a small molecule and its target protein is directly detected by resonating quartz crystals.
- RNA interference
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A method for silencing gene expression. A small double-stranded RNA is introduced into the cell to inhibit the expression of the corresponding mRNA, thus preventing translation of the gene into protein.
- Polypharmacologic compounds
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Compounds that bind to multiple cellular targets to mediate their clinical effects.
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Terstappen, G., Schlüpen, C., Raggiaschi, R. et al. Target deconvolution strategies in drug discovery. Nat Rev Drug Discov 6, 891–903 (2007). https://doi.org/10.1038/nrd2410
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DOI: https://doi.org/10.1038/nrd2410
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