Computer-aided molecular modeling of a D2-agonist dopamine pharmacophore

Roberto Tonani, James Dunbar, Brian Edmonston, Garland R. Marshall

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Using computer-aided molecular modeling techniques to analyze models recently proposed for the receptor binding sites of dopaminergic agonists, we superimposed the chemical structures of various compounds that mimic the pharmacological behavior of dopamine, as well as inactive enantiomers, on a postulated three-dimensional frame of reference. We analyzed the vector directionalities of the lone pairs of the nitrogen common to these molecules, and the acidic hydrogen of phenols (in aminoindanes, aminotetralins, apomorphines, p-phenol-piperazines, octahydrobenzo(g)quinolines, octahydrobenzo(f)quinolines, and benzazepines) or of nitrogen (in ergoline-type compounds and related structures). This model, when expressed as distances from that of the reference compound pergolide, correlates with the dopaminergic binding affinity observed in compounds previously reported to act on the dopaminergic system in the central nervous system (CNS). The regression analysis of log KD with respect to the distances of the vectors of the acidic hydrogen support the hypothesis that these compounds bind to the receptor as donors in hydrogen bond formation.

Original languageEnglish
Pages (from-to)121-132
Number of pages12
JournalJournal of Computer-Aided Molecular Design
Volume1
Issue number2
DOIs
StatePublished - Jul 1 1987

Keywords

  • Apomorphine
  • Bromocriptine
  • Dopamine
  • Pergolide
  • Pharmacophore
  • Receptor

Fingerprint

Dive into the research topics of 'Computer-aided molecular modeling of a D2-agonist dopamine pharmacophore'. Together they form a unique fingerprint.

Cite this