Rapid advances in modern gene seeking techniques and the sequence data evol
ving from related genome research should provide both new targets for drug
discovery and new insights into risk factors for many neurological and psyc
hiatric disorders. Coupled with the high speed synthetic capabilities avail
able in many companies, high-throughput screening is identifying potential
novel drug candidates at extraordinary rates. This enables the drug discove
rer to be more precise in the biological specificity of drugs taken to huma
n trials thereby reducing the potential side-effect profile of clinical can
didates. The ability to create large libraries of compounds also allows res
earchers to focus on metabolism and pharmacokinetics at an earlier stage in
the drug development process to minimize drug-drug interactions via common
sites of metabolism and optimize duration of action for particular indicat
ions. An emerging bottleneck in psychopharmacological drug discovery is the
relative paucity of preclinical behavioral models predictive of clinical e
fficacy and the need to carry out early clinical trials to demonstrate ther
apeutic utility. However, through the use of recently developed chip techno
logy, coupled with data bases of information about single nucleotide polymo
rphisms in potential candidate genes or risk fact ors for psychiatric disor
ders, it should be possible in the near future to stratify clinical populat
ions genetically for inclusion in specific drug treatment trials. The ultim
ate goal of this research is to obtain homogeneous populations for trials a
nd to predict risk before the phenotype of the disorder is manifest. [Neuro
psychopharmacology 20:99-105, 1999] (C) 1998 American College of Neuropsych
opharmacology. Published by Elsevier Science Inc.