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

被引:16
作者
Park, Insun [1 ,2 ]
Hwang, Yu Jin [1 ]
Kim, TaeHun [1 ,3 ]
Viswanath, Ambily Nath Indu [1 ,3 ]
Londhe, Ashwini M. [1 ,3 ]
Jung, Seo Yun [1 ]
Sim, Kyoung Mi [1 ,4 ]
Min, Sun-Joon [5 ]
Lee, Ji Eun [6 ]
Seong, Jihye [1 ,3 ]
Kim, Yun Kyung [1 ,3 ]
No, Kyoung Tai [2 ]
Ryu, Hoon [1 ,7 ,8 ]
Pae, Ae Nim [1 ,3 ]
机构
[1] Korea Inst Sci & Technol, Convergence Res Ctr Diag Treatment & Care Syst De, Seoul 02792, South Korea
[2] Yonsei Univ, Dept Biotechnol, Seoul 03722, South Korea
[3] Korea Univ Sci & Technol, KIST Sch, Div Biomed Sci & Technol, Daejeon 34113, South Korea
[4] Korea Univ, Dept Integrated Biomed & Life Sci, Seoul 02841, South Korea
[5] Hanyang Univ, Dept Appl Chem, Ansan 15888, Gyeonggi Do, South Korea
[6] Korea Inst Sci & Technol, Biomed Res Inst, Ctr Theragnosis, Seoul 02792, South Korea
[7] Boston Univ, Sch Med, Dept Neurol, Boston, MA 02118 USA
[8] Boston Univ, Sch Med, Alzheimers Dis Ctr, Boston, MA 02118 USA
关键词
SETDB1/ESET; Huntington's disease; Pharmacophore; Homology modeling; Virtual screening; Trimethylated H3K9 (H3K9me3); Peptide-competitive small molecule inhibitors; CHROMATIN-STRUCTURE; METHYLTRANSFERASE; ESET; HETEROCHROMATIN; G9A; EXPRESSION; INHIBITOR; ALIGNMENT; GENE;
D O I
10.1007/s10822-017-0052-3
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:877 / 889
页数:13
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