Determination of the binding mode and interacting amino-acids for dibasic H3 receptor antagonists.

Due to its involvement in major CNS functions, the histamine H3 receptor (H3R) is the subject of intensive medicinal chemistry investigation, supported by the range of modern drug discovery tools, such as receptor modeling and ligand docking. Although the receptor models described to date share a majority of common traits, they display discrete alternatives in amino-acid conformation, rendering ligand binding modes quite different. Such variations impede structure-based drug design in the H3R field.

Novel and highly potent histamine H3 receptor ligands. Part 3: an alcohol function to improve the pharmacokinetic profile.

Synthesis and biological evaluation of potent histamine H3 receptor antagonists incorporating a hydroxyl function are described. Compounds in this series exhibited nanomolar binding affinities for human receptor, illustrating a new possible component for the H3 pharmacophore. As demonstrated with compound BP1.

Novel and highly potent histamine H3 receptor ligands. Part 1: withdrawing of hERG activity.

Pre-clinical investigation of some aryl-piperidinyl ether histamine H3 receptor antagonists revealed a strong hERG binding. To overcome this issue, we have developed a QSAR model specially dedicated to H3 receptor ligands. This model was designed to be directly applicable in medicinal chemistry with no need of molecular modeling.

Novel and highly potent histamine H3 receptor ligands. Part 2: exploring the cyclohexylamine-based series.

Synthesis and biological evaluation of novel and potent cyclohexylamine-based histamine H3 receptor inverse agonists are described. Compounds in this newly identified series exhibited subnanomolar binding affinities for human receptor and no significant interaction with hERG channel. One derivative (10t) demonstrated enhanced in vivo efficiency and preferential brain distribution, both properties suitable for potential clinical evaluation.

Refined docking as a valuable tool for lead optimization: application to histamine H3 receptor antagonists.

Drug-discovery projects frequently employ structure-based information through protein modeling and ligand docking, and there is a plethora of reports relating successful use of them in virtual screening. Hit/lead optimization, which represents the next step and the longest for the medicinal chemist, is very rarely considered. This is not surprising because lead optimization is a much more complex task.