Analysis of the Glutamate Agonist LY404,039 Binding to Nonstatic Dopamine Receptor D2 Dimer Structures and Consensus Docking

Ramin Ekhteiari Salmas*, Philip Seeman, Busecan Aksoydan, Ismail Erol, Isik Kantarcioglu, Matthias Stein, Mine Yurtsever, Serdar Durdagi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

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 languageEnglish
Pages (from-to)1404-1415
Number of pages12
JournalACS Chemical Neuroscience
Volume8
Issue number6
DOIs
Publication statusPublished - 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).

FundersFunder 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

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