High content pharmacophores from molecular fields: a biologically relevant method for comparing and understanding ligands

Abstract

The question of how and why a small molecule binds to a protein is central to ligand-based drug discovery. The traditional way of approaching these questions is pharmacophore analysis. However, pharmacophores as usually applied lack quantitation and subtlety. An improvement is to consider the electrostatic and steric fields of the ligand directly. Molecular fields provide a rich view of the potential interactions that a molecule can make and can be validated through experimental data on molecular interactions and through quantum mechanics calculations. A technique is presented in this review for comparing molecules using molecular fields and assigning similarity scores. This high information content method can be used to align molecules for SAR analysis, to determine the bioactive conformation from ligand data, and to screen large libraries of compounds for structurally unrelated actives. An extension to allow interactive exploration of chemistry space via bioisostere analysis is also reviewed. Examples from the literature showing the success of these methods are presented, and future directions discussed.