Literature DB >> 28879500

In silico probing and biological evaluation of SETDB1/ESET-targeted novel compounds that reduce tri-methylated histone H3K9 (H3K9me3) level.

Insun Park1,2, Yu Jin Hwang1, TaeHun Kim1,3, Ambily Nath Indu Viswanath1,3, Ashwini M Londhe1,3, Seo Yun Jung1, Kyoung Mi Sim1,4, Sun-Joon Min5, Ji Eun Lee6, Jihye Seong1,3, Yun Kyung Kim1,3, Kyoung Tai No2, Hoon Ryu7,8, Ae Nim Pae9,10.   

Abstract

ERG-associated protein with the SET domain (ESET/SET domain bifurcated 1/SETDB1/KMT1E) is a histone lysine methyltransferase (HKMT) and it preferentially tri-methylates lysine 9 of histone H3 (H3K9me3). SETDB1/ESET leads to heterochromatin condensation and epigenetic gene silencing. These functional changes are reported to correlate with Huntington's disease (HD) progression and mood-related disorders which make SETDB1/ESET a viable drug target. In this context, the present investigation was performed to identify novel peptide-competitive small molecule inhibitors of the SETDB1/ESET by a combined in silico-in vitro approach. A ligand-based pharmacophore model was built and employed for the virtual screening of ChemDiv and Asinex database. Also, a human SETDB1/ESET homology model was constructed to supplement the data further. Biological evaluation of the selected 21 candidates singled out 5 compounds exhibiting a notable reduction of the H3K9me3 level via inhibitory potential of SETDB1/ESET activity in SETDB1/ESET-inducible cell line and HD striatal cells. Later on, we identified two compounds as final hits that appear to have neuronal effects without cytotoxicity based on the result from MTT assay. These compounds hold the calibre to become the future lead compounds and can provide structural insights into more SETDB1/ESET-focused drug discovery research. Moreover, these SETDB1/ESET inhibitors may be applicable for the preclinical study to ameliorate neurodegenerative disorders via epigenetic regulation.

Entities:  

Keywords:  Homology modeling; Huntington’s disease; Peptide-competitive small molecule inhibitors; Pharmacophore; SETDB1/ESET; Trimethylated H3K9 (H3K9me3); Virtual screening

Mesh:

Substances:

Year:  2017        PMID: 28879500     DOI: 10.1007/s10822-017-0052-3

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  43 in total

1.  Structure validation by Calpha geometry: phi,psi and Cbeta deviation.

Authors:  Simon C Lovell; Ian W Davis; W Bryan Arendall; Paul I W de Bakker; J Michael Word; Michael G Prisant; Jane S Richardson; David C Richardson
Journal:  Proteins       Date:  2003-02-15

2.  Pose prediction and virtual screening performance of GOLD scoring functions in a standardized test.

Authors:  John W Liebeschuetz; Jason C Cole; Oliver Korb
Journal:  J Comput Aided Mol Des       Date:  2012-02-28       Impact factor: 3.686

3.  Reversal of H3K9me2 by a small-molecule inhibitor for the G9a histone methyltransferase.

Authors:  Stefan Kubicek; Roderick J O'Sullivan; E Michael August; Eugene R Hickey; Qiang Zhang; Miguel L Teodoro; Stephen Rea; Karl Mechtler; Jennifer A Kowalski; Carol Ann Homon; Terence A Kelly; Thomas Jenuwein
Journal:  Mol Cell       Date:  2007-02-09       Impact factor: 17.970

Review 4.  Structure and function of histone H3 lysine 9 methyltransferases and demethylases.

Authors:  Swathi Krishnan; Scott Horowitz; Raymond C Trievel
Journal:  Chembiochem       Date:  2011-01-05       Impact factor: 3.164

5.  Identification of common functional configurations among molecules.

Authors:  D Barnum; J Greene; A Smellie; P Sprague
Journal:  J Chem Inf Comput Sci       Date:  1996 May-Jun

Review 6.  Arginine methylation an emerging regulator of protein function.

Authors:  Mark T Bedford; Stéphane Richard
Journal:  Mol Cell       Date:  2005-04-29       Impact factor: 17.970

7.  Identification of a specific inhibitor of the histone methyltransferase SU(VAR)3-9.

Authors:  Dorothea Greiner; Tiziana Bonaldi; Ragnhild Eskeland; Ernst Roemer; Axel Imhof
Journal:  Nat Chem Biol       Date:  2005-07-17       Impact factor: 15.040

8.  Monoallele deletion of CBP leads to pericentromeric heterochromatin condensation through ESET expression and histone H3 (K9) methylation.

Authors:  Junghee Lee; Sean Hagerty; Kerry A Cormier; Jinho Kim; Andrew L Kung; Robert J Ferrante; Hoon Ryu
Journal:  Hum Mol Genet       Date:  2008-03-04       Impact factor: 6.150

9.  Structural biology of human H3K9 methyltransferases.

Authors:  Hong Wu; Jinrong Min; Vladimir V Lunin; Tatiana Antoshenko; Ludmila Dombrovski; Hong Zeng; Abdellah Allali-Hassani; Valérie Campagna-Slater; Masoud Vedadi; Cheryl H Arrowsmith; Alexander N Plotnikov; Matthieu Schapira
Journal:  PLoS One       Date:  2010-01-11       Impact factor: 3.240

10.  Matrix softness regulates plasticity of tumour-repopulating cells via H3K9 demethylation and Sox2 expression.

Authors:  Youhua Tan; Arash Tajik; Junwei Chen; Qiong Jia; Farhan Chowdhury; Lili Wang; Junjian Chen; Shuang Zhang; Ying Hong; Haiying Yi; Douglas C Wu; Yuejin Zhang; Fuxiang Wei; Yeh-Chuin Poh; Jihye Seong; Rishi Singh; Li-Jung Lin; Sultan Doğanay; Yong Li; Haibo Jia; Taekjip Ha; Yingxiao Wang; Bo Huang; Ning Wang
Journal:  Nat Commun       Date:  2014-08-06       Impact factor: 14.919

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  2 in total

1.  Modulation of SETDB1 activity by APQ ameliorates heterochromatin condensation, motor function, and neuropathology in a Huntington's disease mouse model.

Authors:  Yu Jin Hwang; Seung Jae Hyeon; Younghee Kim; Sungsu Lim; Min Young Lee; Jieun Kim; Ashwini M Londhe; Lizaveta Gotina; Yunha Kim; Ae Nim Pae; Yong Seo Cho; Jihye Seong; Hyemyung Seo; Yun Kyung Kim; Hyunah Choo; Hoon Ryu; Sun-Joon Min
Journal:  J Enzyme Inhib Med Chem       Date:  2021-12       Impact factor: 5.051

Review 2.  Molecular Structure, Binding Affinity, and Biological Activity in the Epigenome.

Authors:  Balázs Zoltán Zsidó; Csaba Hetényi
Journal:  Int J Mol Sci       Date:  2020-06-10       Impact factor: 5.923

  2 in total

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