Homology modeling of the serotonin transporter: insights into the primary escitalopram-binding site.

The serotonin transporter (SERT) is one of the neurotransmitter transporters that plays a critical role in the regulation of endogenous amine concentrations and therefore is an important target for therapeutic agents affecting the central nervous system. The recently published, high resolution X-ray structure of the closely related amino acid transporter, Aquifex aeolicus leucine transporter (LeuT), provides an opportunity to develop a three-dimensional model of the structure of SERT. We present herein a homology model of SERT using LeuT as the template and containing escitalopram as a bound ligand.

Probing the pharmacophore of ginkgolides as glycine receptor antagonists.

Ginkgolides are antagonists of the inhibitory ligand-gated ion channels for the neurotransmitters glycine and gamma-aminobutyric acid (GABA). In this study the ginkgolide structure was modified in order to investigate the minimum structural requirements for glycine receptor antagonism. The five native ginkgolides and a series of 29 ginkgolide derivatives were characterized at the three glycine receptor subtypes alpha1, alpha1beta, and alpha2, which revealed that only minor changes in the ginkgolide skeleton were allowed for maintaining glycine receptor antagonism.

Pharmacophore and receptor models for neurokinin receptors.

Three neurokinin (NK) antagonist pharmacophore models (Models 1-3) accounting for hydrogen bonding groups in the 'head' and 'tail' of NK receptor ligands have been developed by use of a new procedure for treatment of hydrogen bonds during superimposition. Instead of modelling the hydrogen bond acceptor vector in the strict direction of the lone pair, an angle is allowed between the hydrogen bond acceptor direction and the ideal lone pair direction. This approach adds flexibility to hydrogen bond directions and produces more realistic RMS values.

A 3D QSAR study on a set of dopamine D4 receptor antagonists.

The molecular alignments obtained from a previously reported pharmacophore model have been employed in a three-dimensional quantitative structure-activity relationship (3D QSAR) study, to obtain a more detailed insight into the structure-activity relationships for D(2) and D(4) receptor antagonists. The frequently applied CoMFA method and the related CoMSIA method were used. Statistically significant models have been derived with these two methods, based on a set of 32 structurally diverse D(2) and D(4) receptor antagonists.

A pharmacophore model for NK2 antagonist comprising compounds from several structurally diverse classes.

A neurokinin 2 (NK2) antagonist pharmacophore model has been developed on the basis of five non-peptide antagonists from several structurally diverse classes. To evaluate the pharmacophore model, another 20 antagonists were fitted to the model. By use of exhaustive conformational analysis (MMFFs force field and the GB/SA hydration model) and least-squares molecular superimposition studies, 23 of the 25 antagonists were fitted to the model in a low energy conformation with a low RMS value.