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Structure-Based Virtual Screening for Dopamine D2 Receptor Ligands as Potential Antipsychotics.

Agnieszka A KaczorAndrea G SilvaMaría I LozaPeter KolbMarián CastroAntti Poso
Published in: ChemMedChem (2016)
Structure-based virtual screening using a D2 receptor homology model was performed to identify dopamine D2 receptor ligands as potential antipsychotics. From screening a library of 6.5 million compounds, 21 were selected and were subjected to experimental validation. From these 21 compounds tested, ten D2 ligands were identified (47.6% success rate, among them D2 receptor antagonists, as expected) that have additional affinity for other receptors tested, in particular 5-HT2A receptors. The affinity (Ki values) of the compounds ranged from 58 nm to about 24 μM. Similarity and fragment analysis indicated a significant degree of structural novelty among the identified compounds. We found one D2 receptor antagonist that did not have a protonatable nitrogen atom, which is a key structural element of the classical D2 pharmacophore model necessary for interaction with the conserved Asp(3.32) residue. This compound exhibited greater than 20-fold binding selectivity for the D2 receptor over the D3 receptor. We provide additional evidence that the amide hydrogen atom of this compound forms a hydrogen bond with Asp(3.32), as determined by tests of its derivatives that cannot maintain this interaction.
Keyphrases
  • molecular dynamics
  • binding protein
  • mass spectrometry
  • risk assessment
  • molecular docking
  • photodynamic therapy
  • molecular dynamics simulations
  • locally advanced
  • dna binding