Pharmacophore approaches have become one of the major tools in drug discovery after the past century's development. Various ligand-based and structure-based methods have been developed for improved pharmacophore modeling and have been successfully and extensively applied in virtual screening, de novo design and lead optimization. Despite these successes, pharmacophore approaches have not reache...

Glucagon and the glucagon receptor are most important molecules control over blood glucose concentrations. These two molecules are very important to studies of type 2 diabetic patients. In literature, several classes of small molecule antagonists of the human glucagon receptor have been reported. Glucagon receptor antagonist could decrease hepatic glucose output and improve glucose control in d...

Glucagon and the glucagon receptor are most important molecules control over blood glucose concentrations. These two molecules are very important to studies of type 2 diabetic patients. In literature, several classes of small molecule antagonists of the human glucagon receptor have been reported. Glucagon receptor antagonist could decrease hepatic glucose output and improve glucose control in d...

ABSTRACT Pharmacophore modeling is a widely used technique in computer-aided drug discovery. Structure-based pharmacophore models of a ligand in complex with a protein have proven to be useful for supporting in silico hit discovery, hit to lead expansion, and lead optimization. As a structure-based approach it depends on the correct interpretation of ligand-protein interactions. There are legit...

Background: Alzheimer’s disease (AD) is a neurodegenerative disease characterized by decreased cognitive function in patients due to forming Aβ peptides and neurofibrillary tangles (NFT) in the brain. Therefore, the need to develop new treatments can reduce this risk. Acetylcholinesterase is one of the targets used in the design of new drugs for the treatment of AD. The researchers obtain new i...

Tautomeric rearrangements on molecules lead to distinct equilibrated structural states of the same chemical compound, and evidently, have an impact on nearly all aspects of computer-aided chemical data processing [1] where the knowledge of the exact chemical structure is required (e.g. the calculation of chemical properties or interpretation of ligand-protein interactions). Although tautomerism...

A combined modeling approach was used to identify structural factors that underlie the structure-activity relationships (SARs) of full dopamine D₂ receptor agonists and structurally similar inactive compounds. A 3D structural model of the dopamine D₂ receptor was constructed, with the agonist (-)-(R)-2-OH-NPA present in the binding site during the modeling procedure. The 3D model was evaluated ...

Three-dimensional (3D) pharmacophore modeling is a technique for describing the interaction of a small molecule ligand with a macromolecular target. Since chemical features in a pharmacophore model are well known and highly transparent for medicinal chemists, these models are intuitively understandable and have been increasingly successful in computational drug discovery in the past few years. ...

The aim of this study was to use a combined structure and pharmacophore modeling approach to extract information regarding dopamine D₁ receptor agonism and D₁/D₂ agonist selectivity. A 3D structure model of the D₁ receptor in its agonist-bound state was constructed with a full D₁ agonist present in the binding site. Two different binding modes were identified using (+)-doxanthrine or SKF89626 i...