Free Access
Med Sci (Paris)
Volume 29, Number 10, Octobre 2013
Page(s) 897 - 905
Section M/S Revues
Published online 18 October 2013
  1. Peterson JR, Mitchison TJ. Small molecules, big impact : a history of chemical inhibitors and the cytoskeleton. Chem Biol 2002 ; 9 : 1275–1285. [CrossRef] [PubMed] [Google Scholar]
  2. Eggert US. The why and how of phenotypic small-molecule screens. Nat Chem Biol 2013 ; 9 : 206–209. [CrossRef] [PubMed] [Google Scholar]
  3. Mayer TU, Kapoor TM, Haggarty SJ, et al. Small molecule inhibitor of mitotic spindle bipolarity identified in a phenotype-based screen. Science 1999 ; 286 : 971–974. [CrossRef] [PubMed] [Google Scholar]
  4. Lefurgy S, Cornish V. Finding Cinderella after the ball : a three-hybrid approach to drug target identification. Chem Biol 2004 ; 11 : 151–153. [PubMed] [Google Scholar]
  5. Prudent R, Vassal-Stermann E, Nguyen CH, et al. Pharmacological inhibition of LIM kinase stabilizes microtubules and inhibits neoplastic growth. Cancer Res 2012 ; 72 : 4429–4439. [CrossRef] [PubMed] [Google Scholar]
  6. Swinney DC, Anthony J. How were new medicines discovered? Nat Rev Drug Discov 2011 ; 10 : 507–519. [CrossRef] [PubMed] [Google Scholar]
  7. Miller OJ, El Harrak A, Mangeat T, et al. High-resolution dose-response screening using droplet-based microfluidics. Proc Natl Acad Sci USA 2012 ; 109 : 378–383. [Google Scholar]
  8. Malo N, Hanley JA, Cerquozzi S, et al. Statistical practice in high-throughput screening data analysis. Nat Biotechnol 2006 ; 24 : 167–175. [CrossRef] [PubMed] [Google Scholar]
  9. Soleilhac E, Nadon R, Lafanechere L. High-content screening for the discovery of pharmacological compounds : advantages, challenges and potential benefits of recent technological developments. Expert Opin Drug Discov 2010 ; 5 : 135–144. [CrossRef] [PubMed] [Google Scholar]
  10. Lo E, Soleilhac E, Martinez A, et al. Intensity quantile estimation and mapping-a novel algorithm for the correction of image non-uniformity bias in HCS data. Bioinformatics 2012 ; 28 : 2632–2639. [Google Scholar]
  11. Raj L, Ide T, Gurkar AU, et al. Selective killing of cancer cells by a small molecule targeting the stress response to ROS. Nature 2011 ; 475 : 231–234. [CrossRef] [PubMed] [Google Scholar]
  12. Vassal E, Barette C, Fonrose X, et al. Miniaturization and validation of a sensitive multiparametric cell-based assay for the concomitant detection of microtubule-destabilizing and microtubule-stabilizing agents. J Biomol Screen 2006 ; 11 : 377–389. [CrossRef] [PubMed] [Google Scholar]
  13. Prudent R, Vassal-Stermann E, Nguyen CH, et al. Azaindole derivatives are inhibitors of microtubule dynamics, with anti-cancer and anti-angiogenic activities. Br J Pharmacol 2013 ; 168 : 673–685. [CrossRef] [PubMed] [Google Scholar]
  14. Morelli X, Bourgeas R, Roche P. Chemical and structural lessons from recent successes in protein-protein interaction inhibition (2P2I). Curr Opin Chem Biol 2011 ; 15 : 475–481. [CrossRef] [PubMed] [Google Scholar]
  15. Harvey AL. Natural products as a screening resource. Curr Opin Chem Biol 2007 ; 11 : 480–484. [CrossRef] [PubMed] [Google Scholar]
  16. Fonrose X, Ausseil F, Soleilhac E, et al. Parthenolide inhibits tubulin carboxypeptidase activity. Cancer Res 2007 ; 67 : 3371–3378. [CrossRef] [PubMed] [Google Scholar]
  17. Loison S, Cottet M, Orcel H, et al. Selective fluorescent nonpeptidic antagonists for vasopressin V₂ GPCR : application to ligand screening and oligomerization assays. J Med Chem 2012 ; 55 : 8588–8602. [CrossRef] [PubMed] [Google Scholar]
  18. Laudet B, Prudent R, Filhol O, Cochet C. Des agents thérapeutiques ciblant des interactions protéine-protéine. Med Sci (Paris) 2007 ; 23 : 273–278. [Google Scholar]
  19. Guiffant D, Tribouillard D, Gug F, et al. Identification of intracellular targets of small molecular weight chemical compounds using affinity chromatography. Biotechnol J 2007 ; 2 : 68–75. [CrossRef] [PubMed] [Google Scholar]
  20. Titov D V, Liu JO. Identification and validation of protein targets of bioactive small molecules. Bioorg Med Chem 2012 ; 20 : 1902–1909. [CrossRef] [PubMed] [Google Scholar]
  21. Lomenick B, Hao R, Jonai N, et al. Target identification using drug affinity responsive target stability (DARTS). Proc Natl Acad Sci USA 2009 ; 106 : 21984–21989. [CrossRef] [Google Scholar]
  22. Terstappen GC, Schlüpen C, Raggiaschi R, Gaviraghi G. Target deconvolution strategies in drug discovery. Nat Rev Drug Discov 2007 ; 6 : 891–903. [CrossRef] [PubMed] [Google Scholar]
  23. Peterson JR, Lebensohn AM, Pelish HE, Kirschner MW. Biochemical suppression of small-molecule inhibitors : a strategy to identify inhibitor targets and signaling pathway components. Chem Biol 2006 ; 13 : 443–452. [CrossRef] [PubMed] [Google Scholar]
  24. Lehár J, Zimmermann GR, Krueger AS, et al. Chemical combination effects predict connectivity in biological systems. Mol Syst Biol 2007 ; 3 : 80. [CrossRef] [PubMed] [Google Scholar]
  25. Neumann B, Walter T, Hériché JK, et al. Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes. Nature 2010 ; 464 : 721–727. [CrossRef] [PubMed] [Google Scholar]
  26. Baetz K, McHardy L, Gable K, et al. Yeast genome-wide drug-induced haploinsufficiency screen to determine drug mode of action. Proc Natl Acad Sci USA 2004 ; 101 : 4525–4530. [CrossRef] [Google Scholar]
  27. Ferlini C, Cicchillitti L, Raspaglio G, et al. Paclitaxel directly binds to Bcl-2 and functionally mimics activity of Nur77. Cancer Res 2009 ; 69 : 6906–6914. [CrossRef] [PubMed] [Google Scholar]
  28. Stechmann B, Bai SK, Gobbo E, et al. Inhibition of retrograde transport protects mice from lethal ricin challenge. Cell 2010 ; 141 : 231–242. [CrossRef] [PubMed] [Google Scholar]
  29. Botté CY, Deligny M, Roccia A, et al. Chemical inhibitors of monogalactosyldiacylglycerol synthases in Arabidopsis thaliana. Nat Chem Biol 2011 ; 7 : 834–842. [CrossRef] [PubMed] [Google Scholar]
  30. Willand N, Dirié B, Carette X, et al. Synthetic EthR inhibitors boost antituberculous activity of ethionamide. Nat Med 2009 ; 15 : 537–544. [CrossRef] [PubMed] [Google Scholar]
  31. Maurel D, Comps-Agrar L, Brock C, et al. Cell-surface protein-protein interaction analysis with time-resolved FRET and snap-tag technologies : application to GPCR oligomerization. Nat Methods 2008 ; 5 : 561–567. [CrossRef] [PubMed] [Google Scholar]
  32. Pauwels E, Surdez D, Stoll G, et al. A probabilistic model for cell population phenotyping using HCS data. PloS One 2012 ; 7 : e42715. [CrossRef] [PubMed] [Google Scholar]

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