Literature DB >> 12770821

Multidimensional chemical genetic analysis of diversity-oriented synthesis-derived deacetylase inhibitors using cell-based assays.

Stephen J Haggarty1, Kathryn M Koeller, Jason C Wong, Rebecca A Butcher, Stuart L Schreiber.   

Abstract

Systematic chemical genetics aims to explore the space representing interactions between small molecules and biological systems. Beyond measuring binding interactions and enzyme inhibition, measuring changes in the activity of proteins in intact signaling networks is necessary. Toward this end, we are partitioning chemical space into regions with different biological activities using a panel of cell-based assays and small molecule "chemical genetic modifiers." Herein, we report on the use of this methodology for the discovery of 617 small molecule inhibitors of histone deacetylases from a multidimensional screen of an encoded, diversity-oriented synthesis library. Following decoding of chemical tags and resynthesis, we demonstrate the selectivity of one inhibitory molecule (tubacin) toward alpha-tubulin deacetylation and another (histacin) toward histone deacetylation. These small molecules will facilitate dissecting the role of acetylation in a variety of cell biological processes.

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Year:  2003        PMID: 12770821     DOI: 10.1016/s1074-5521(03)00095-4

Source DB:  PubMed          Journal:  Chem Biol        ISSN: 1074-5521


  46 in total

1.  Epigenetic changes induced by curcumin and other natural compounds.

Authors:  Simone Reuter; Subash C Gupta; Byoungduck Park; Ajay Goel; Bharat B Aggarwal
Journal:  Genes Nutr       Date:  2011-04-24       Impact factor: 5.523

Review 2.  Chemical probes and drug leads from advances in synthetic planning and methodology.

Authors:  Christopher J Gerry; Stuart L Schreiber
Journal:  Nat Rev Drug Discov       Date:  2018-04-13       Impact factor: 84.694

Review 3.  Isoform-selective histone deacetylase inhibitors.

Authors:  Anton V Bieliauskas; Mary Kay H Pflum
Journal:  Chem Soc Rev       Date:  2008-05-08       Impact factor: 54.564

4.  Human ATP-binding cassette transporters ABCB1 and ABCG2 confer resistance to histone deacetylase 6 inhibitor ricolinostat (ACY-1215) in cancer cell lines.

Authors:  Chung-Pu Wu; Ya-Ju Hsieh; Megumi Murakami; Shahrooz Vahedi; Sung-Han Hsiao; Ni Yeh; An-Wei Chou; Yan-Qing Li; Yu-Shan Wu; Jau-Song Yu; Suresh V Ambudkar
Journal:  Biochem Pharmacol       Date:  2018-07-17       Impact factor: 5.858

5.  Histone deacetylase inhibitors prevent exocytosis of interleukin-1beta-containing secretory lysosomes: role of microtubules.

Authors:  Sonia Carta; Sara Tassi; Claudia Semino; Gianluca Fossati; Paolo Mascagni; Charles A Dinarello; Anna Rubartelli
Journal:  Blood       Date:  2006-05-09       Impact factor: 22.113

6.  Drug target predictions based on heterogeneous graph inference.

Authors:  Wenhui Wang; Sen Yang; Jing Li
Journal:  Pac Symp Biocomput       Date:  2013

7.  Tubacin kills Epstein-Barr virus (EBV)-Burkitt lymphoma cells by inducing reactive oxygen species and EBV lymphoblastoid cells by inducing apoptosis.

Authors:  Junichi Kawada; Ping Zou; Ralph Mazitschek; James E Bradner; Jeffrey I Cohen
Journal:  J Biol Chem       Date:  2009-04-22       Impact factor: 5.157

Review 8.  Emerging treatments for multiple myeloma: beyond immunomodulatory drugs and bortezomib.

Authors:  Constantine S Mitsiades; Teru Hideshima; Dharminder Chauhan; Douglas W McMillin; Steffen Klippel; Jacob P Laubach; Nikhil C Munshi; Kenneth C Anderson; Paul G Richardson
Journal:  Semin Hematol       Date:  2009-04       Impact factor: 3.851

9.  Supervised prediction of drug-target interactions using bipartite local models.

Authors:  Kevin Bleakley; Yoshihiro Yamanishi
Journal:  Bioinformatics       Date:  2009-07-15       Impact factor: 6.937

10.  Prediction of drug-target interaction networks from the integration of chemical and genomic spaces.

Authors:  Yoshihiro Yamanishi; Michihiro Araki; Alex Gutteridge; Wataru Honda; Minoru Kanehisa
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

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