Predicting compound selectivity by self-organizing maps: cross-activities of metabotropic glutamate receptor antagonists.
Noeske
Tobias
T
Johann Wolfgang Goethe University, Institute of Organic Chemistry and Chemical Biology ZAFES/CMP, Siesmayerstr 70, Frankfurt, Germany.
Sasse
Britta C
BC
Stark
Holger
H
Parsons
Christopher G
CG
Weil
Tanja
T
Schneider
Gisbert
G
D000465:Algorithms; D001372:Aza Compounds / Q000737:chemistry* / Q000494:pharmacology; D001665:Binding Sites; D016000:Cluster Analysis; D016208:Databases, Factual; D015195:Drug Design; D018691:Excitatory Amino Acid Antagonists / Q000737:chemistry* / Q000494:pharmacology; D008024:Ligands; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D010363:Pattern Recognition, Automated; D011725:Pyridines / Q000737:chemistry* / Q000494:pharmacology; D011804:Quinolines / Q000737:chemistry* / Q000494:pharmacology; D018094:Receptors, Metabotropic Glutamate / Q000037:antagonists & inhibitors*; D013329:Structure-Activity Relationship
D001372:Aza Compounds; D018691:Excitatory Amino Acid Antagonists; D008024:Ligands; D011725:Pyridines; D011804:Quinolines; D018094:Receptors, Metabotropic Glutamate