Mapping Ligand-Shape Space for Protein–Ligand Systems: Distinguishing Key-in-Lock and Hand-in-Glove Proteins

Abstract

Many of the recently developed methods to study the shape of molecules permit one conformation of one molecule to be compared to another conformation of the same or a different molecule: a relative shape. Other methods provide an absolute description of the shape of a conformation that does not rely on comparisons or overlays. Any absolute description of shape can be used to generate a self-organizing map (shape map) that places all molecular shapes relative to one another; in the studies reported here, the shape fingerprint and ultrafast shape recognition methods are employed to create such maps. In the shape maps, molecules that are near one another have similar shapes, and the maps for the 102 targets in the DUD-E set have been generated. By examining the distribution of actives in comparison with their physical-property-matched decoys, we show that the proteins of key-in-lock type (relatively rigid receptor and ligand) can be distinguished from those that are more of a hand-in-glove type (more flexible receptor and ligand). These are linked to known differences in protein flexibility and binding-site size.

FRAGMENTISE: A user‐friendly, cross‐platform tool to create and analyze comprehensive small‐molecule fragment databases

“…Since a diverse set of fragments is required to maximize the chances of discovering novel hit compounds, we analyzed structural diversity profiles of all the fragment datasets. To this end, we employed an algorithm similar to one previously reported by References [23,24].…”