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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
  • *Bu çalışma için yazışmadan sorumlu yazar
  • Bahcesehir University
  • University of Toronto
  • Gebze Technical University
  • Max Planck Institute for Dynamics of Complex Technical Systems

Araştırma çıktısı: Dergi yayınıMakaleHakem

24 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)1404-1415
Sayfa sayısı12
DergiACS Chemical Neuroscience
Hacim8
Basın numarası6
DOI'lar
Yayın durumuYayınlandı - 21 Haz 2017

Bibliyografik not

Publisher Copyright:
© 2017 American Chemical Society.

Finansman

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).

Finansörler
Excellence Initiative Center for Dynamic Systems
TUBITAK ULAKBIM
Max-Planck-Gesellschaft
European Regional Development Fund

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