Literature DB >> 24187570

Making Models Work: Library Annotation through Phenoclustering.

Ch Williams1, Cc Hong.   

Abstract

For the chemical biologist, the promise of the post-genomic era has yet to be fulfilled. In the past decade, a flurry of phenotype-based chemical genetic screens in in vivo and cultured cell models have yielded numerous small molecules with interesting biological properties with potential to reveal plethora of novel insights. However, these screens have also led to the bottleneck of target identification. This article will focus on recent progress in phenoclustering in various model systems as an option for target identification.

Entities:  

Year:  2013        PMID: 24187570      PMCID: PMC3811947          DOI: 10.1016/j.ddmod.2011.12.001

Source DB:  PubMed          Journal:  Drug Discov Today Dis Models        ISSN: 1740-6757


  17 in total

1.  Gene clustering based on RNAi phenotypes of ovary-enriched genes in C. elegans.

Authors:  Fabio Piano; Aaron J Schetter; Diane G Morton; Kristin C Gunsalus; Valerie Reinke; Stuart K Kim; Kenneth J Kemphues
Journal:  Curr Biol       Date:  2002-11-19       Impact factor: 10.834

2.  High-throughput zebrafish histology.

Authors:  Nicole A Sabaliauskas; Christina A Foutz; Jason R Mest; Lynn R Budgeon; Adam T Sidor; Joseph A Gershenson; Sanjay B Joshi; Keith C Cheng
Journal:  Methods       Date:  2006-07       Impact factor: 3.608

Review 3.  Cellular phenotyping by RNAi.

Authors:  Florian Fuchs; Michael Boutros
Journal:  Brief Funct Genomic Proteomic       Date:  2006-02-23

4.  SHIRAZ: an automated histology image annotation system for zebrafish phenomics.

Authors:  Brian A Canada; Georgia K Thomas; Keith C Cheng; James Z Wang
Journal:  Multimed Tools Appl       Date:  2010-10-24       Impact factor: 2.757

5.  Combined functional genomic maps of the C. elegans DNA damage response.

Authors:  Simon J Boulton; Anton Gartner; Jérôme Reboul; Philippe Vaglio; Nick Dyson; David E Hill; Marc Vidal
Journal:  Science       Date:  2002-01-04       Impact factor: 47.728

6.  Mutations affecting segment number and polarity in Drosophila.

Authors:  C Nüsslein-Volhard; E Wieschaus
Journal:  Nature       Date:  1980-10-30       Impact factor: 49.962

7.  Identifying compound-target associations by combining bioactivity profile similarity search and public databases mining.

Authors:  Tiejun Cheng; Qingliang Li; Yanli Wang; Stephen H Bryant
Journal:  J Chem Inf Model       Date:  2011-08-18       Impact factor: 4.956

Review 8.  Multi-step usage of in vivo models during rational drug design and discovery.

Authors:  Charles H Williams; Charles C Hong
Journal:  Int J Mol Sci       Date:  2011-04-01       Impact factor: 5.923

9.  An unbiased cell morphology-based screen for new, biologically active small molecules.

Authors:  Masahiro Tanaka; Raynard Bateman; Daniel Rauh; Eugeni Vaisberg; Shyam Ramachandani; Chao Zhang; Kirk C Hansen; Alma L Burlingame; Jay K Trautman; Kevan M Shokat; Cynthia L Adams
Journal:  PLoS Biol       Date:  2005-04-05       Impact factor: 8.029

10.  Rapid behavior-based identification of neuroactive small molecules in the zebrafish.

Authors:  David Kokel; Jennifer Bryan; Christian Laggner; Rick White; Chung Yan J Cheung; Rita Mateus; David Healey; Sonia Kim; Andreas A Werdich; Stephen J Haggarty; Calum A Macrae; Brian Shoichet; Randall T Peterson
Journal:  Nat Chem Biol       Date:  2010-01-17       Impact factor: 15.040

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