Bispyrimidines as potent histamine H(4) receptor ligands: delineation of structure-activity relationships and detailed H(4) receptor binding mode

Bivalent AMPA receptor positive allosteric modulators of the bis(pyrimidine) series

The first example of a novel class of AMPA receptor positive allosteric modulators of the bis(pyrimidine) series having a hydroquinone linker has been obtained and showed a potency to increase kainate-induced currents at subnanomolar concentrations.

2,4-Diaminopyrimidines as dual ligands at the histamine H1 and H4 receptor-H1/H4-receptor selectivity

Distinct diaminopyrimidines, for example, 4-(4-methylpiperazin-1-yl)-5,6-dihydrobenzo[h]quinazolin-2-amine are histamine H4 receptor (H4R) antagonists and show high affinity to the H4R, but only a moderate affinity to the histamine H1 receptor (H1R). Within previous studies it was shown that an aromatic side chain with a distinct distance to the basic amine and aromatic core is necessary for affinity to the human H1R (hH1R). Thus, a rigid aminopyrimidine with a tricyclic core was used as a lead structure. There, (1) the flexible aromatic side chain was introduced, (2) the substitution pattern of the pyrimidine core was exchanged and (3) rigidity was decreased by opening the tricyclic core. Within the present study, two compounds with similar affinity in the one digit μM range to the human H1R and H4R were identified. While the affinity at the hH1R increased about 4- to 8-fold compared to the parent diaminopyrimidine, the affinity to the hH4R decreased about 5- to 8-fold. In addition to the parent diaminopyrimidine, two selected compounds were docked into the H1R and H4R and molecular dynamic studies were performed to predict the binding mode and explain the experimental results on a molecular level. The two new compounds may be good lead structures for the development of dual H1/H4 receptor ligands with affinities in the same range.

Sequential application of ligand and structure based modeling approaches to index chemicals for their hH4R antagonism

The human histamine H4 receptor (hH4R), a member of the G-protein coupled receptors (GPCR) family, is an increasingly attractive drug target. It plays a key role in many cell pathways and many hH4R ligands are studied for the treatment of several inflammatory, allergic and autoimmune disorders, as well as for analgesic activity. Due to the challenging difficulties in the experimental elucidation of hH4R structure, virtual screening campaigns are normally run on homology based models. However, a wealth of information about the chemical properties of GPCR ligands has also accumulated over the last few years and an appropriate combination of these ligand-based knowledge with structure-based molecular modeling studies emerges as a promising strategy for computer-assisted drug design. Here, two chemoinformatics techniques, the Intelligent Learning Engine (ILE) and Iterative Stochastic Elimination (ISE) approach, were used to index chemicals for their hH4R bioactivity. An application of the prediction model on external test set composed of more than 160 hH4R antagonists picked from the chEMBL database gave enrichment factor of 16.4. A virtual high throughput screening on ZINC database was carried out, picking ∼ 4000 chemicals highly indexed as H4R antagonists' candidates. Next, a series of 3D models of hH4R were generated by molecular modeling and molecular dynamics simulations performed in fully atomistic lipid membranes. The efficacy of the hH4R 3D models in discrimination between actives and non-actives were checked and the 3D model with the best performance was chosen for further docking studies performed on the focused library. The output of these docking studies was a consensus library of 11 highly active scored drug candidates. Our findings suggest that a sequential combination of ligand-based chemoinformatics approaches with structure-based ones has the potential to improve the success rate in discovering new biologically active GPCR drugs and increase the enrichment factors in a synergistic manner.

Drug-likeness approach of 2-aminopyrimidines as histamine H3 receptor ligands

A small series of compounds containing derivatives of 2,4-diamino- and 2,4,6-triaminopyrimidine (compounds 2–7) was synthesized and tested for binding affinity to human histamine H₃ receptors (hH₃Rs) stably expressed in HEK-293 cells and human H₄Rs (hH₄Rs) co-expressed with Gα_i2 and Gβ₁γ₂ subunits in Sf9 cells. Working in part from the lead compound 6-(4-methylpiperazin-1-yl)-N⁴-(3-(piperidin-1-yl)propyl)pyrimidine-2,4-diamine (compound 1) with unsatisfactory affinity and selectivity to hH₃Rs, our structure-activity relationship studies revealed that replacement of 4-methylpiperazino by N-benzylamine and substitution of an amine group at the 2-position of the 2-aminopyrimidine core structure with 3-piperidinopropoxyphenyl moiety as an hH₃R pharmacophore resulted in N⁴-benzyl-N²-(4-(3-(piperidin-1-yl)propoxy)phenyl)pyrimidine-2,4-diamine (compound 5) with high hH₃R affinity (k_i =4.49±1.25 nM) and H₃R receptor subtype selectivity of more than 6,500×. Moreover, initial metric analyses were conducted based on their target-oriented drug-likeness for predictively quantifying lipophilicity, ligand efficiency, lipophilicity-dependent ligand efficiency, molecular size-independent efficiency, and topological molecular polar surface. As to the development of potential H₃R ligands, results showed that integration of the hH₃R pharmacophore in hH₄R-affine structural scaffolds resulted in compounds with high hH₃R affinity (4.5–650 nM), moderate to low hH₄R affinity (4,500–30,000 nM), receptor subtype selectivity (ratio hH₄R/hH₃R; 8–6,500), and promising calculated drug-likeness properties.