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Identification of novel EED-EZH2 PPI inhibitors using an in silico fragment mapping method.
- Source :
-
Journal of computer-aided molecular design [J Comput Aided Mol Des] 2021 May; Vol. 35 (5), pp. 601-611. Date of Electronic Publication: 2021 Feb 26. - Publication Year :
- 2021
-
Abstract
- Enhancer of zeste homolog 2 (EZH2) is a histone lysine methyltransferase that is overexpressed in many cancers. Numerous EZH2 inhibitors have been developed as anticancer agents, but recent studies have also focused on protein-protein interaction (PPI) between embryonic ectoderm development (EED) and EZH2 as a novel drug discovery target. Because EED indirectly enhances EZH2 enzymatic activity, EED-EZH2 PPI inhibitors suppress the methyltransferase activity and inhibit cancer growth. By contrast to the numerous promising EZH2 inhibitors, there are a paucity of EED-EZH2 PPI inhibitors reported in the literature. Here, we aimed to discover novel EED-EZH2 PPI inhibitors by first identifying possible binders of EED using an in-house knowledge-based in silico fragment mapping method. Next, 3D pharmacophore models were constructed from the arrangement pattern of the potential binders mapped onto the EED surface. In all, 16 compounds were selected by 3D pharmacophore-based virtual screening followed by docking-based virtual screening. In vitro evaluation revealed that five of these compounds exhibited inhibitory activities. This study has provided structural insights into the discovery and the molecular design of novel EED-EZH2 PPI inhibitors using an in silico fragment mapping method.
- Subjects :
- Computer Simulation
Drug Design
Drug Discovery
Enhancer of Zeste Homolog 2 Protein metabolism
Enzyme Inhibitors chemistry
Enzyme Inhibitors pharmacology
Humans
Molecular Docking Simulation
Neoplasms drug therapy
Neoplasms metabolism
Polycomb Repressive Complex 2 metabolism
Antineoplastic Agents chemistry
Antineoplastic Agents pharmacology
Enhancer of Zeste Homolog 2 Protein antagonists & inhibitors
Polycomb Repressive Complex 2 antagonists & inhibitors
Protein Interaction Maps drug effects
Subjects
Details
- Language :
- English
- ISSN :
- 1573-4951
- Volume :
- 35
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Journal of computer-aided molecular design
- Publication Type :
- Academic Journal
- Accession number :
- 33635506
- Full Text :
- https://doi.org/10.1007/s10822-021-00378-6