Recently, one of the key trends in the pharmaceutical industry has been the
integration of what have traditionally been considered 'development' activ
ities into the early phases of drug discovery. The aim of this paradigm shi
ft is the prompt identification and elimination of candidate molecules that
are unlikely to survive later stages of discovery and development. In this
review, the authors examine the growing role that is being played by compu
tational methods in this filtering process, with a particular focus on the
prediction of intestinal absorption and blood-brain barrier penetration.