Structure-Based Identification of Novel Histone Deacetylase 4 (HDAC4) Inhibitors

被引:0
作者
Agarwal, Rupesh [1 ,2 ]
Pattarawat, Pawat [3 ]
Duff, Michael R. [2 ]
Wang, Hwa-Chain Robert [3 ]
Baudry, Jerome [4 ]
Smith, Jeremy C. [1 ,2 ]
机构
[1] Oak Ridge Natl Lab, ORNL Ctr Mol Biophys, UT, Oak Ridge, TN 37830 USA
[2] Univ Tennessee, Dept Biochem Cellular & Mol Biol, Knoxville, TN 37996 USA
[3] Univ Tennessee, Coll Vet Med, Dept Biomed & Diagnost Sci, Knoxville, TN 37996 USA
[4] Univ Alabama Huntsville, Dept Biol Sci, Huntsville, AL 35899 USA
关键词
Computer-Aided Drug Design (CADD); Histone deacetylase inhibitor (HDACi); Structure Based Drug Discovery (SBDD); Histone deacetylases (HDACs); Molecular Dynamics Simulation (MDS); Ensemble Docking; HDAC4; MOLECULAR-DYNAMICS; SIMULATION; WATER; ACCURACY; SOFTWARE; INSIGHTS; THERAPY; DOCKING; COMPLEX;
D O I
10.3390/ph17070867
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Histone deacetylases (HDACs) are important cancer drug targets. Existing FDA-approved drugs target the catalytic pocket of HDACs, which is conserved across subfamilies (classes) of HDAC. However, engineering specificity is an important goal. Herein, we use molecular modeling approaches to identify and target potential novel pockets specific to Class IIA HDAC-HDAC4 at the interface between HDAC4 and the transcriptional corepressor component protein NCoR. These pockets were screened using an ensemble docking approach combined with consensus scoring to identify compounds with a different binding mechanism than the currently known HDAC modulators. Binding was compared in experimental assays between HDAC4 and HDAC3, which belong to a different family of HDACs. HDAC4 was significantly inhibited by compound 88402 but not HDAC3. Two other compounds (67436 and 134199) had IC50 values in the low micromolar range for both HDACs, which is comparable to the known inhibitor of HDAC4, SAHA (Vorinostat). However, both of these compounds were significantly weaker inhibitors of HDAC3 than SAHA and thus more selective, albeit to a limited extent. Five compounds exhibited activity on human breast carcinoma and/or urothelial carcinoma cell lines. The present result suggests potential mechanistic and chemical approaches for developing selective HDAC4 modulators.
引用
收藏
页数:13
相关论文
共 52 条
[31]   SETTLE - AN ANALYTICAL VERSION OF THE SHAKE AND RATTLE ALGORITHM FOR RIGID WATER MODELS [J].
MIYAMOTO, S ;
KOLLMAN, PA .
JOURNAL OF COMPUTATIONAL CHEMISTRY, 1992, 13 (08) :952-962
[32]  
Molecular Operating Environment (MOE), 2022, Chemical Computing Group ULC,, P910
[33]   AutoDock4 and AutoDockTools4: Automated Docking with Selective Receptor Flexibility [J].
Morris, Garrett M. ;
Huey, Ruth ;
Lindstrom, William ;
Sanner, Michel F. ;
Belew, Richard K. ;
Goodsell, David S. ;
Olson, Arthur J. .
JOURNAL OF COMPUTATIONAL CHEMISTRY, 2009, 30 (16) :2785-2791
[34]  
NCI, US
[35]   Histone deacetylases 1, 6 and 8 are critical for invasion in breast cancer [J].
Park, Soon Young ;
Jun, Ji Ae ;
Jeong, Kang Tin ;
Heo, Hoi Jeong ;
Sohn, Jang Sinn ;
Lee, Hoi Young ;
Park, Chang Gyo ;
Kang, Jaeku .
ONCOLOGY REPORTS, 2011, 25 (06) :1677-1681
[36]   A short guide to histone deacetylases including recent progress on class II enzymes [J].
Park, Suk-Youl ;
Kim, Jeong-Sun .
EXPERIMENTAL AND MOLECULAR MEDICINE, 2020, 52 (02) :204-212
[37]   A modified TIP3P water potential for simulation with Ewald summation [J].
Price, DJ ;
Brooks, CL .
JOURNAL OF CHEMICAL PHYSICS, 2004, 121 (20) :10096-10103
[38]   Inhibitors of protein-protein interactions (PPIs): an analysis of scaffold choices and buried surface area [J].
Ran, Xu ;
Gestwicki, Jason E. .
CURRENT OPINION IN CHEMICAL BIOLOGY, 2018, 44 :75-86
[39]   PTRAJ and CPPTRAJ: Software for Processing and Analysis of Molecular Dynamics Trajectory Data [J].
Roe, Daniel R. ;
Cheatham, Thomas E., III .
JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2013, 9 (07) :3084-3095
[40]  
Shin Woong-Hee, 2020, Adv Appl Bioinform Chem, V13, P11, DOI 10.2147/AABC.S235542