Methods for computer-aided chemical biology. Part 4: selectivity searching for ion channel ligands and mapping of molecular fragments as selectivity markers.
For the computational exploration of structure-selectivity relationships, a compound selectivity system consisting of 243 antagonists of ionotropic glutamate ligand-gated ion channels was designed. Selected antagonists were organized in nine different selectivity sets. In systematic selectivity search calculations utilizing these data sets, structural fingerprints produced a significant enrichment of selective compounds over non-selective molecules and database decoys. The molecular basis of these findings was explored in detail. Fingerprint bit settings characteristic of antagonists with different selectivity profiles were identified and the corresponding structural features were correlated with sets of molecular fragments derived from selective and non-selective antagonists following a hierarchical fragmentation strategy separating aromatic and aliphatic core structure elements and substituents. This analysis rationalized the selectivity search performance of structural fingerprints and revealed structural motifs that are selectivity markers for different types of ion channel antagonists.
Ahmed
Hany E A
HE
Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität Bonn, Dahlmannstr. 2, D-53113 Bonn, Germany. bajorath@bit.uni-bonn.de
Geppert
Hanna
H
Stumpfe
Dagmar
D
Lounkine
Eugen
E
Bajorath
Jürgen
J
D017076:Computer-Aided Design; D003205:Computing Methodologies; D015195:Drug Design; D007473:Ion Channels / Q000037:antagonists & inhibitors* / Q000737:chemistry; D008024:Ligands; D015394:Molecular Structure; D054852:Small Molecule Libraries; D013329:Structure-Activity Relationship
D007473:Ion Channels; D008024:Ligands; D054852:Small Molecule Libraries