Abstract
Dopamine receptor D2 (D2R) plays an important role in the human central nervous system and is a focal target of antipsychotic agents. The D2HighR and D2LowR dimeric models previously developed by our group are used to investigate the prediction of binding affinity of the LY404,039 ligand and its binding mechanism within the catalytic domain. The computational data obtained using molecular dynamics simulations fit well with the experimental results. The calculated binding affinities of LY404,039 using MM/PBSA for the D2HighR and D2LowR targets were -12.04 and -9.11 kcal/mol, respectively. The experimental results suggest that LY404,039 binds to D2HighR and D2LowR with binding affinities (Ki) of 8.2 and 1640 nM, respectively. The high binding affinity of LY404,039 in terms of binding to [3H]domperidone was inhibited by the presence of a guanine nucleotide, indicating an agonist action of the drug at D2HighR. The interaction analysis demonstrated that while Asp114 was among the most critical amino acids for D2HighR binding, residues Ser193 and Ser197 were significantly more important within the binding cavity of D2LowR. Molecular modeling analyses are extended to ensemble docking as well as structure-based pharmacophore model (E-pharmacophore) development using the bioactive conformation of LY404,039 at the binding pocket as a template and screening of small-molecule databases with derived pharmacophore models.
Original language | English |
---|---|
Pages (from-to) | 1404-1415 |
Number of pages | 12 |
Journal | ACS Chemical Neuroscience |
Volume | 8 |
Issue number | 6 |
DOIs | |
Publication status | Published - 21 Jun 2017 |
Bibliographical note
Publisher Copyright:© 2017 American Chemical Society.
Funding
M.S. is grateful to the Max Planck Society for the Advancement of Science, the Excellence Initiative Center for Dynamic Systems and the ERDF for financial support. The numerical calculations reported in this paper were partially performed at TUBITAK ULAKBIM, High Performance and Grid Computing Center (TRUBA resources).
Funders | Funder number |
---|---|
Excellence Initiative Center for Dynamic Systems | |
TUBITAK ULAKBIM | |
Max-Planck-Gesellschaft | |
European Regional Development Fund |
Keywords
- Antipsychotics
- Dopamine D2 receptor
- E-Pharmacophore modeling
- Ensemble docking
- LY404,039
- MM/PBSA
- Molecular dynamics (MD) simulations
- Molecular modeling
- Schizophrenia