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Structural insights into binding of small molecule inhibitors to Enhancer of Zeste Homolog 2.
- Source :
-
Journal of computer-aided molecular design [J Comput Aided Mol Des] 2014 Nov; Vol. 28 (11), pp. 1109-28. Date of Electronic Publication: 2014 Aug 20. - Publication Year :
- 2014
-
Abstract
- Enhancer of Zeste Homolog 2 (EZH2) is a SET domain protein lysine methyltransferase (PKMT) which has recently emerged as a chemically tractable and therapeutically promising epigenetic target, evidenced by the discovery and characterization of potent and highly selective EZH2 inhibitors. However, no experimental structures of the inhibitors co-crystallized to EZH2 have been resolved, and the structural basis for their activity and selectivity remains unknown. Considering the need to minimize cross-reactivity between prospective PKMT inhibitors, much can be learned from understanding the molecular basis for selective inhibition of EZH2. Thus, to elucidate the binding of small-molecule inhibitors to EZH2, we have developed a model of its fully-formed cofactor binding site and used it to carry out molecular dynamics simulations of protein-ligand complexes, followed by molecular mechanics/generalized born surface area calculations. The obtained results are in good agreement with biochemical inhibition data and reflect the structure-activity relationships of known ligands. Our findings suggest that the variable and flexible post-SET domain plays an important role in inhibitor binding, allowing possibly distinct binding modes of inhibitors with only small variations in their structure. Insights from this study present a good basis for design of novel and optimization of existing compounds targeting the cofactor binding site of EZH2.
- Subjects :
- Amino Acid Sequence
Binding Sites
Enhancer of Zeste Homolog 2 Protein
Humans
Molecular Dynamics Simulation
Polycomb Repressive Complex 2 antagonists & inhibitors
Small Molecule Libraries
Epigenesis, Genetic
Histones chemistry
Polycomb Repressive Complex 2 chemistry
Structure-Activity Relationship
Subjects
Details
- Language :
- English
- ISSN :
- 1573-4951
- Volume :
- 28
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Journal of computer-aided molecular design
- Publication Type :
- Academic Journal
- Accession number :
- 25139678
- Full Text :
- https://doi.org/10.1007/s10822-014-9788-1