DAT/SERT selectivity of flexible GBR 12909 analogs modeled using 3D-QSAR methods

  • Kathleen M. Gilbert
  • , Terrence L. Boos
  • , Christina M. Dersch
  • , Elisabeth Greiner
  • , Arthur E. Jacobson
  • , David Lewis
  • , Dorota Matecka
  • , Thomas E. Prisinzano
  • , Ying Zhang
  • , Richard B. Rothman
  • , Kenner C. Rice
  • , Carol A. Venanzi

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

The dopamine reuptake inhibitor GBR 12909 (1-{2-[bis(4-fluorophenyl)methoxy]ethyl}-4-(3-phenylpropyl)piperazine, 1) and its analogs have been developed as tools to test the hypothesis that selective dopamine transporter (DAT) inhibitors will be useful therapeutics for cocaine addiction. This 3D-QSAR study focuses on the effect of substitutions in the phenylpropyl region of 1. CoMFA and CoMSIA techniques were used to determine a predictive and stable model for the DAT/serotonin transporter (SERT) selectivity (represented by pKi (DAT/SERT)) of a set of flexible analogs of 1, most of which have eight rotatable bonds. In the absence of a rigid analog to use as a 3D-QSAR template, six conformational families of analogs were constructed from six pairs of piperazine and piperidine template conformers identified by hierarchical clustering as representative molecular conformations. Three models stable to y-value scrambling were identified after a comprehensive CoMFA and CoMSIA survey with Region Focusing. Test set correlation validation led to an acceptable model, with q2 = 0.508, standard error of prediction = 0.601, two components, r2 = 0.685, standard error of estimate = 0.481, F value = 39, percent steric contribution = 65, and percent electrostatic contribution = 35. A CoMFA contour map identified areas of the molecule that affect pKi (DAT/SERT). This work outlines a protocol for deriving a stable and predictive model of the biological activity of a set of very flexible molecules.

Original languageEnglish (US)
Pages (from-to)1146-1159
Number of pages14
JournalBioorganic and Medicinal Chemistry
Volume15
Issue number2
DOIs
StatePublished - Jan 15 2007

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Molecular Medicine
  • Molecular Biology
  • Pharmaceutical Science
  • Drug Discovery
  • Clinical Biochemistry
  • Organic Chemistry

Keywords

  • 3D-QSAR
  • Cocaine addiction
  • DAT/SERT selectivity
  • Dopamine transporter
  • GBR 12909
  • Validation

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