Mixed-model QSAR at the glucocorticoid receptor: predicting the binding mode and affinity of psychotropic drugs.

Abstract:

:The glucocorticoid receptor (GR) is a member of the nuclear receptor superfamily that affects immune response, development, and metabolism in target tissues. Glucocorticoids are widely used to treat diverse pathophysiological conditions, but their clinical applicability is limited by side effects. A prediction of the binding affinity toward the GR would be beneficial for identifying glucocorticoid-mediated adverse effects triggered by drugs or chemicals. By identifying the binding mode to the GR using flexible docking (software Yeti) and quantifying the binding affinity through multidimensional QSAR (software Quasar), we validated a model family based on 110 compounds, representing four different chemical classes. The correlation with the experimental data (cross-validated r(2)=0.702; predictive r(2)=0.719) suggests that our approach is suited for predicting the binding affinity of related compounds toward the GR. After challenging the model by a series of scramble tests, a consensus approach (software Raptor), and a prediction set, it was incorporated into our VirtualToxLab and used to simulate and quantify the interaction of 24 psychotropic drugs with the GR.

journal_name

ChemMedChem

journal_title

ChemMedChem

authors

Spreafico M,Ernst B,Lill MA,Smiesko M,Vedani A

doi

10.1002/cmdc.200800274

subject

Has Abstract

pub_date

2009-01-01 00:00:00

pages

100-9

issue

1

eissn

1860-7179

issn

1860-7187

journal_volume

4

pub_type

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