Discovery of new butyrylcholinesterase inhibitors via structure-based virtual screening.

Butyrylcholinesterase (BChE) plays an important role in the progression of the Alzheimer's disease. In this study, we used a structure-based virtual screening (VS) approach to discover new BChE inhibitors. A ligand database was filtered and docked to the BChE protein using Glide program.

Molecular modelling studies on ɑ7 nicotinic receptor allosteric modulators yields novel filter-based virtual screening protocol.

The ɑ7 receptor is a member in the nicotinic acetylcholine receptor (nAChR) which has been implicated in several neurological disorders. Beside normal agonists and antagonists of α7 nAChRs, several studies revealed other types of molecules that are able to activate or deactivate ɑ7 receptors via allosteric binding; those are called positive allosteric modulators (PAMs) or negative allosteric modulators (NAMs), with the former having more pharmacological importance than the latter. Since both types of modulators are believed to bind to the same place in the intracavity of the transmembrane domain, it was important to differentiate between them in terms of structural features and their binding with the target receptor, and then use these specific characteristics as filters to discriminate PAMs from NAMS.

Comparative Molecular Dynamics Simulation of Aggregating and Non-Aggregating Inhibitor Solutions: Understanding the Molecular Basis of Promiscuity.

The presence of false positives in enzyme inhibition assays is a common problem in early drug discovery, especially for compounds that form colloid aggregates in solution. The molecular basis of these aggregates could not be thoroughly explored because of their transient stability. In this study we conducted comparative molecular dynamics (MD) simulations of miconazole, a strong aggregator, and fluconazole, a known non-aggregator.