Target identification of small molecules based on chemical biology approaches.

Recently, a phenotypic approach-screens that assess the effects of compounds on cells, tissues, or whole organisms-has been reconsidered and reintroduced as a complementary strategy of a target-based approach for drug discovery. Although the finding of novel bioactive compounds from large chemical libraries has become routine, the identification of their molecular targets is still a time-consuming and difficult process, making this step rate-limiting in drug development. In the last decade, we and other researchers have amassed a large amount of phenotypic data through progress in omics research and advances in instrumentation. Accordingly, the profiling methodologies using these datasets expertly have emerged to identify and validate specific molecular targets of drug candidates, attaining some progress in current drug discovery (e.g., eribulin). In the case of a compound that shows an unprecedented phenotype likely by inhibiting a first-in-class target, however, such phenotypic profiling is invalid. Under the circumstances, a photo-crosslinking affinity approach should be beneficial. In this review, we describe and summarize recent progress in both affinity-based (direct) and phenotypic profiling (indirect) approaches for chemical biology target identification.

[1]  T. Yamori,et al.  ZSTK474, a novel phosphatidylinositol 3-kinase inhibitor identified using the JFCR39 drug discovery system , 2010, Acta Pharmacologica Sinica.

[2]  I. Vetter,et al.  Crystal structure of the predicted phospholipase LYPLAL1 reveals unexpected functional plasticity despite close relationship to acyl protein thioesterases , 2012, Journal of Lipid Research.

[3]  H. Osada,et al.  Morphobase, an encyclopedic cell morphology database, and its use for drug target identification. , 2012, Chemistry & biology.

[4]  William B. Smith,et al.  Selective inhibition of BET bromodomains , 2010, Nature.

[5]  J. C. Hinshaw,et al.  Discovering Modes of Action for Therapeutic Compounds Using a Genome-Wide Screen of Yeast Heterozygotes , 2004, Cell.

[6]  T. Ebbels,et al.  Optimization and evaluation of metabolite extraction protocols for untargeted metabolic profiling of liver samples by UPLC-MS. , 2010, Analytical chemistry.

[7]  Michael I. Jordan,et al.  Chemogenomic profiling: identifying the functional interactions of small molecules in yeast. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[8]  Robert P. St.Onge,et al.  The Chemical Genomic Portrait of Yeast: Uncovering a Phenotype for All Genes , 2008, Science.

[9]  S. Schreiber,et al.  A Mammalian Histone Deacetylase Related to the Yeast Transcriptional Regulator Rpd3p , 1996, Science.

[10]  K. Kohn,et al.  CellMiner: a web-based suite of genomic and pharmacologic tools to explore transcript and drug patterns in the NCI-60 cell line set. , 2012, Cancer research.

[11]  Anna K. Schrey,et al.  GDP-capture compound--a novel tool for the profiling of GTPases in pro- and eukaryotes by capture compound mass spectrometry (CCMS). , 2010, Journal of proteomics.

[12]  R. Olsen,et al.  Identification of Direct Protein Targets of Small Molecules , 2010, ACS chemical biology.

[13]  D. Sem,et al.  Chemical proteomics-based drug design: target and antitarget fishing with a catechol-rhodanine privileged scaffold for NAD(P)(H) binding proteins. , 2008, Journal of medicinal chemistry.

[14]  J. Pelletier,et al.  Target identification using drug affinity responsive target stability (DARTS). , 2009, Proceedings of the National Academy of Sciences of the United States of America.

[15]  Y. Arita,et al.  Marine antifungal theonellamides target 3beta-hydroxysterol to activate Rho1 signaling. , 2010, Nature chemical biology.

[16]  John A. Tallarico,et al.  Multi-parameter phenotypic profiling: using cellular effects to characterize small-molecule compounds , 2009, Nature Reviews Drug Discovery.

[17]  J. Yates,et al.  Large-scale analysis of the yeast proteome by multidimensional protein identification technology , 2001, Nature Biotechnology.

[18]  Shao-En Ong The expanding field of SILAC , 2012, Analytical and Bioanalytical Chemistry.

[19]  Jennifer A. Prescher,et al.  A strain-promoted [3 + 2] azide-alkyne cycloaddition for covalent modification of biomolecules in living systems. , 2004, Journal of the American Chemical Society.

[20]  Y. Li,et al.  Chemical genetics of TOR identifies an SCF family E3 ubiquitin ligase inhibitor , 2010, Nature Biotechnology.

[21]  P. Grandi,et al.  Chemoproteomics profiling of HDAC inhibitors reveals selective targeting of HDAC complexes , 2011, Nature Biotechnology.

[22]  H. Kwon,et al.  Anti-angiogenic activity of terpestacin, a bicyclo sesterterpene from Embellisia chlamydospora. , 2003, The Journal of antibiotics.

[23]  K. Parker,et al.  Multiplexed Protein Quantitation in Saccharomyces cerevisiae Using Amine-reactive Isobaric Tagging Reagents*S , 2004, Molecular & Cellular Proteomics.

[24]  M. Hagiwara,et al.  Spliceostatin A targets SF3b and inhibits both splicing and nuclear retention of pre-mRNA , 2007, Nature Chemical Biology.

[25]  M. Boyd,et al.  Anticancer specificity of some ellipticinium salts against human brain tumors in vitro. , 1994, Journal of medicinal chemistry.

[26]  Y. Hiraoka,et al.  ORFeome cloning and global analysis of protein localization in the fission yeast Schizosaccharomyces pombe , 2006, Nature Biotechnology.

[27]  L. Arckens,et al.  Fluorescent two-dimensional difference gel electrophoresis unveils the potential of gel-based proteomics. , 2004, Current opinion in biotechnology.

[28]  Deepak K Rajpal,et al.  Applications of Connectivity Map in drug discovery and development. , 2012, Drug discovery today.

[29]  Paul A Clemons,et al.  The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease , 2006, Science.

[30]  Mike Tyers,et al.  An Allosteric Inhibitor of the Human Cdc34 Ubiquitin-Conjugating Enzyme , 2011, Cell.

[31]  Shinichi Morishita,et al.  Data mining tools for the Saccharomyces cerevisiae morphological database , 2005, Nucleic Acids Res..

[32]  J. Mesirov,et al.  Chemosensitivity prediction by transcriptional profiling , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[33]  D. Swinney,et al.  How were new medicines discovered? , 2011, Nature Reviews Drug Discovery.

[34]  H. Handa,et al.  High-performance affinity beads for identifying drug receptors , 2000, Nature Biotechnology.

[35]  Makoto Muroi,et al.  Application of proteomic profiling based on 2D-DIGE for classification of compounds according to the mechanism of action. , 2010, Chemistry & biology.

[36]  C. Myers,et al.  Padanamides A and B, highly modified linear tetrapeptides produced in culture by a Streptomyces sp. isolated from a marine sediment. , 2011, Organic letters.

[37]  Oksana Sirenko,et al.  Method for analyzing signaling networks in complex cellular systems. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[38]  H. Kwon,et al.  Terpestacin Inhibits Tumor Angiogenesis by Targeting UQCRB of Mitochondrial Complex III and Suppressing Hypoxia-induced Reactive Oxygen Species Production and Cellular Oxygen Sensing* , 2010, The Journal of Biological Chemistry.

[39]  Xi-jun Wang,et al.  Potential drug targets on insomnia and intervention effects of Jujuboside A through metabolic pathway analysis as revealed by UPLC/ESI-SYNAPT-HDMS coupled with pattern recognition approach. , 2012, Journal of proteomics.

[40]  John N Weinstein,et al.  MicroRNA expression profiles for the NCI-60 cancer cell panel , 2007, Molecular Cancer Therapeutics.

[41]  E. Nordhoff,et al.  Synthesis of S‐Adenosyl‐L‐homocysteine Capture Compounds for Selective Photoinduced Isolation of Methyltransferases , 2010, Chembiochem : a European journal of chemical biology.

[42]  Yudong D. He,et al.  Functional Discovery via a Compendium of Expression Profiles , 2000, Cell.

[43]  William C Reinhold,et al.  Proteomic profiling of the NCI-60 cancer cell lines using new high-density reverse-phase lysate microarrays , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[44]  M. Roth,et al.  Salicylihalamide A Inhibits the V0 Sector of the V-ATPase through a Mechanism Distinct from Bafilomycin A1* , 2004, Journal of Biological Chemistry.

[45]  P. Nordlund,et al.  Chemical screening methods to identify ligands that promote protein stability, protein crystallization, and structure determination , 2006, Proceedings of the National Academy of Sciences.

[46]  K. Coombes,et al.  Microarrays: retracing steps , 2007, Nature Medicine.

[47]  K. Arima,et al.  Screening of Antifungal Antibiotics According to Activities Inducing Morphological Abnormalities , 1983 .

[48]  A. Heck,et al.  Target Profiling of a Small Library of Phosphodiesterase 5 (PDE5) Inhibitors using Chemical Proteomics , 2010, ChemMedChem.

[49]  M. Uesugi,et al.  Polyproline-rod approach to isolating protein targets of bioactive small molecules: isolation of a new target of indomethacin. , 2007, Journal of the American Chemical Society.

[50]  Graham M. West,et al.  Quantitative proteomics approach for identifying protein–drug interactions in complex mixtures using protein stability measurements , 2010, Proceedings of the National Academy of Sciences.

[51]  Alain Wagner,et al.  Cleavable linkers in chemical biology. , 2012, Bioorganic & medicinal chemistry.

[52]  K. Stegmaier,et al.  Genetic and proteomic approaches to identify cancer drug targets , 2011, British Journal of Cancer.

[53]  Grant W. Brown,et al.  Integration of chemical-genetic and genetic interaction data links bioactive compounds to cellular target pathways , 2004, Nature Biotechnology.

[54]  J. Ellenberg,et al.  High-throughput fluorescence microscopy for systems biology , 2006, Nature Reviews Molecular Cell Biology.

[55]  Yusuke Nakamura,et al.  An integrated database of chemosensitivity to 55 anticancer drugs and gene expression profiles of 39 human cancer cell lines. , 2002, Cancer research.

[56]  Jongmin Park,et al.  Discovery and target identification of an antiproliferative agent in live cells using fluorescence difference in two-dimensional gel electrophoresis. , 2012, Angewandte Chemie.

[57]  M. Mann,et al.  Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics* , 2002, Molecular & Cellular Proteomics.

[58]  Neil O Carragher,et al.  High-Content Phenotypic Profiling of Drug Response Signatures across Distinct Cancer Cells , 2010, Molecular Cancer Therapeutics.

[59]  Minghui Yang,et al.  Chemical Genetic Profiling and Characterization of Small-molecule Compounds That Affect the Biosynthesis of Unsaturated Fatty Acids in Candida albicans* , 2009, The Journal of Biological Chemistry.

[60]  L V Rubinstein,et al.  Multidrug-resistant phenotype of disease-oriented panels of human tumor cell lines used for anticancer drug screening. , 1992, Cancer research.

[61]  H. Goto,et al.  Discovery of Novel Antiviral Agents Directed Against the Influenza A Virus Nucleoprotein , 2012 .

[62]  Toshihiko Ogura,et al.  Identification of a Primary Target of Thalidomide Teratogenicity , 2010, Science.

[63]  S. Kimura,et al.  Identification of a small-molecule inhibitor of DNA topoisomerase II by proteomic profiling. , 2011, Chemistry & biology.

[64]  Inmar E. Givoni,et al.  Exploring the Mode-of-Action of Bioactive Compounds by Chemical-Genetic Profiling in Yeast , 2006, Cell.

[65]  I. Kozone,et al.  Analysis of the biological activity of a novel 24-membered macrolide JBIR-19 in Saccharomyces cerevisiae by the morphological imaging program CalMorph. , 2012, FEMS yeast research.

[66]  Corey Nislow,et al.  Recent advances and method development for drug target identification. , 2010, Trends in pharmacological sciences.

[67]  G. Dianov,et al.  Activity-based chemical proteomics accelerates inhibitor development for deubiquitylating enzymes. , 2011, Chemistry & biology.

[68]  Shunji Takahashi,et al.  Construction of a microbial natural product library for chemical biology studies. , 2012, Current opinion in chemical biology.

[69]  Gary D Bader,et al.  The Genetic Landscape of a Cell , 2010, Science.

[70]  Lin He,et al.  Exploring Off-Targets and Off-Systems for Adverse Drug Reactions via Chemical-Protein Interactome — Clozapine-Induced Agranulocytosis as a Case Study , 2011, PLoS Comput. Biol..

[71]  Stuart L. Schreiber,et al.  Calcineurin is a common target of cyclophilin-cyclosporin A and FKBP-FK506 complexes , 1991, Cell.

[72]  J. Yates,et al.  Mass spectrometry for proteomics. , 2008, Current opinion in chemical biology.

[73]  H. Osada,et al.  Photo-cross-linked small-molecule affinity matrix for facilitating forward and reverse chemical genetics. , 2005, Angewandte Chemie.

[74]  Anne-Claude Gingras,et al.  Global Gene Deletion Analysis Exploring Yeast Filamentous Growth , 2012, Science.

[75]  M. Imoto,et al.  Xanthohumol impairs autophagosome maturation through direct inhibition of valosin-containing protein. , 2012, ACS chemical biology.

[76]  S. Hirono,et al.  Antitumor activity of ZSTK474, a new phosphatidylinositol 3-kinase inhibitor. , 2006, Journal of the National Cancer Institute.

[77]  Terry Roemer,et al.  Genome-Wide Fitness Test and Mechanism-of-Action Studies of Inhibitory Compounds in Candida albicans , 2007, PLoS pathogens.

[78]  S. Schreiber,et al.  A receptor for the immuno-suppressant FK506 is a cis–trans peptidyl-prolyl isomerase , 1989, Nature.

[79]  E. Berg,et al.  An integrative biology approach for analysis of drug action in models of human vascular inflammation , 2004, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[80]  S. Omholt,et al.  Phenomics: the next challenge , 2010, Nature Reviews Genetics.

[81]  Shinsuke Ohnuki,et al.  High-Content, Image-Based Screening for Drug Targets in Yeast , 2010, PloS one.

[82]  Hiroaki Sasaki,et al.  Cell-morphology profiling of a natural product library identifies bisebromoamide and miuraenamide A as actin filament stabilizers. , 2011, ACS chemical biology.

[83]  Peter Gibbs,et al.  Cytosine methylation profiling of cancer cell lines , 2008, Proceedings of the National Academy of Sciences.

[84]  M. Yaffe,et al.  The combined status of ATM and p53 link tumor development with therapeutic response. , 2009, Genes & development.

[85]  H. Osada,et al.  The application of the chemical array for biological study. , 2010, Methods in molecular biology.

[86]  R. Cozzi,et al.  Resveratrol induces DNA double-strand breaks through human topoisomerase II interaction. , 2010, Cancer letters.

[87]  L. Neckers,et al.  Inhibition of heat shock protein HSP90-pp60v-src heteroprotein complex formation by benzoquinone ansamycins: essential role for stress proteins in oncogenic transformation. , 1994, Proceedings of the National Academy of Sciences of the United States of America.

[88]  T. Tsuruo,et al.  Potent antitumor activity of MS-247, a novel DNA minor groove binder, evaluated by an in vitro and in vivo human cancer cell line panel. , 1999, Cancer research.

[89]  S. Howell,et al.  Diazonamide A and a synthetic structural analog: disruptive effects on mitosis and cellular microtubules and analysis of their interactions with tubulin. , 2003, Molecular pharmacology.

[90]  R. Shoemaker The NCI60 human tumour cell line anticancer drug screen , 2006, Nature Reviews Cancer.

[91]  T. Soga,et al.  Metabolomic identification of the target of the filopodia protrusion inhibitor glucopiericidin A. , 2010, Chemistry & biology.

[92]  H. Osada Introduction of New Tools for Chemical Biology Research on Microbial Metabolites , 2010, Bioscience, biotechnology, and biochemistry.

[93]  Dexin Kong,et al.  Discovery of phosphatidylinositol 3-kinase inhibitory compounds from the Screening Committee of Anticancer Drugs (SCADS) library. , 2010, Biological & pharmaceutical bulletin.

[94]  T. Golub,et al.  Integrative genomic analyses identify MITF as a lineage survival oncogene amplified in malignant melanoma , 2005, Nature.

[95]  H. Osada,et al.  Cleavable linker for photo-cross-linked small-molecule affinity matrix. , 2010, Bioconjugate chemistry.

[96]  K D Paull,et al.  Halichondrin B and homohalichondrin B, marine natural products binding in the vinca domain of tubulin. Discovery of tubulin-based mechanism of action by analysis of differential cytotoxicity data. , 1991, The Journal of biological chemistry.

[97]  Hiroyuki Osada,et al.  A small-molecule inhibitor shows that pirin regulates migration of melanoma cells. , 2010, Nature chemical biology.

[98]  Makoto Muroi,et al.  The identification of an osteoclastogenesis inhibitor through the inhibition of glyoxalase I , 2008, Proceedings of the National Academy of Sciences.

[99]  H. Shibata,et al.  KSRP/FUBP2 Is a Binding Protein of GO-Y086, a Cytotoxic Curcumin Analogue. , 2010, ACS medicinal chemistry letters.

[100]  Y. Ishikawa,et al.  Correlating phosphatidylinositol 3-kinase inhibitor efficacy with signaling pathway status: in silico and biological evaluations. , 2010, Cancer research.

[101]  T. Yamori,et al.  Panel of human cancer cell lines provides valuable database for drug discovery and bioinformatics , 2003, Cancer Chemotherapy and Pharmacology.

[102]  Spirastrellolide A: revised structure, progress toward the relative configuration, and inhibition of protein phosphatase 2A. , 2004, Organic letters.

[103]  Hui Sun,et al.  Pattern recognition approaches and computational systems tools for ultra performance liquid chromatography-mass spectrometry-based comprehensive metabolomic profiling and pathways analysis of biological data sets. , 2012, Analytical chemistry.

[104]  Maxwell D Cummings,et al.  Discovery and cocrystal structure of benzodiazepinedione HDM2 antagonists that activate p53 in cells. , 2005, Journal of medicinal chemistry.

[105]  M. Grever,et al.  Rhodamine efflux patterns predict P-glycoprotein substrates in the National Cancer Institute drug screen. , 1994, Molecular pharmacology.

[106]  E. Sausville,et al.  Transcription profiling of gene expression in drug discovery and development: the NCI experience. , 2004, European journal of cancer.

[107]  T. Tsuruo,et al.  FJ5002: a potent telomerase inhibitor identified by exploiting the disease-oriented screening program with COMPARE analysis. , 1999, Cancer research.

[108]  C. Hart,et al.  Finding the target after screening the phenotype. , 2005, Drug discovery today.

[109]  B. Brinkley,et al.  Rotenone inhibition of spindle microtubule assembly in mammalian cells. , 1974, Experimental cell research.

[110]  R. Milo,et al.  Dynamic Proteomics of Individual Cancer Cells in Response to a Drug , 2008, Science.

[111]  H. Osada,et al.  High-throughput screening identifies small molecule inhibitors of molecular chaperones. , 2012, Current pharmaceutical design.

[112]  Elizabeth A. Winzeler,et al.  Genomic profiling of drug sensitivities via induced haploinsufficiency , 1999, Nature Genetics.

[113]  S. Ōmura,et al.  Lactacystin, a novel microbial metabolite, induces neuritogenesis of neuroblastoma cells. , 1991, The Journal of antibiotics.

[114]  B. Cravatt,et al.  Protein-reactive natural products. , 2005, Angewandte Chemie.

[115]  Nevan J Krogan,et al.  Cross-species chemogenomic profiling reveals evolutionarily conserved drug mode of action , 2010, Molecular systems biology.

[116]  H. Osada,et al.  Immobilization of natural products on glass slides by using a photoaffinity reaction and the detection of protein-small-molecule interactions. , 2003, Angewandte Chemie.

[117]  P. Silver,et al.  The psammaplysenes, specific inhibitors of FOXO1a nuclear export. , 2005, Journal of natural products.

[118]  Lani F. Wu,et al.  Multidimensional Drug Profiling By Automated Microscopy , 2004, Science.

[119]  R. W. Davis,et al.  Targeted selection of recombinant clones through gene dosage effects. , 1983, Proceedings of the National Academy of Sciences of the United States of America.

[120]  P. Ross-Macdonald,et al.  Biochemical and transcriptional profiling to triage additional activities in a series of IGF-1R/IR inhibitors. , 2012, Bioorganic & Medicinal Chemistry.

[121]  Sunkyu Kim,et al.  Proteomics-based Target Identification , 2003, Journal of Biological Chemistry.

[122]  M. Diccianni,et al.  3-amino thioacridone inhibits DNA synthesis and induce DNA damage in T-cell acute lymphoblastic leukemia (T-ALL) in a p16-dependent manner. , 2005, Journal of experimental therapeutics & oncology.

[123]  Yoshikazu Ohya,et al.  Multidimensional quantification of subcellular morphology of Saccharomyces cerevisiae using CalMorph, the high-throughput image-processing program. , 2009, Journal of biotechnology.

[124]  J. Weinstein,et al.  Karyotypic complexity of the NCI-60 drug-screening panel. , 2003, Cancer research.

[125]  Paul A Clemons,et al.  Relationship of stereochemical and skeletal diversity of small molecules to cellular measurement space. , 2004, Journal of the American Chemical Society.

[126]  G. Giaever,et al.  Exploring gene function and drug action using chemogenomic dosage assays. , 2010, Methods in enzymology.

[127]  Bernhard Kuster,et al.  Quantitative chemical proteomics reveals mechanisms of action of clinical ABL kinase inhibitors , 2007, Nature Biotechnology.

[128]  Richard Lugg,et al.  Mutation analysis of 24 known cancer genes in the NCI-60 cell line set , 2006, Molecular Cancer Therapeutics.

[129]  Gary D Bader,et al.  Global Mapping of the Yeast Genetic Interaction Network , 2004, Science.

[130]  Taro L. Saito,et al.  High-dimensional and large-scale phenotyping of yeast mutants. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[131]  Joseph D. Kwasnoski,et al.  High-density miniaturized thermal shift assays as a general strategy for drug discovery. , 2001, Journal of biomolecular screening.

[132]  S. Horinouchi,et al.  Global Analysis of Gel Mobility of Proteins and Its Use in Target Identification* , 2008, Journal of Biological Chemistry.

[133]  Hong-ying Yang,et al.  The molecular mechanism of the anticancer effect of atorvastatin: DNA microarray and bioinformatic analyses. , 2012, International journal of molecular medicine.