title: From theory to bench experiment by computer-assisted drug design.
abstract: Tight integration of computer-assisted molecular design with practical realization by medicinal chemistry will be essential for finding next-generation drugs that are optimized for multiple pharmaceutically relevant properties. ETH Zürich has established an interdisciplinary research  group devoted to exploring the potential of this scientific approach by combining expertise from pharmaceutical chemistry and computer sciences. In this article, some of the group's activities and projects are presented. A current focus is on machine-learning applications aiming at hit and  lead structure identification by virtual screening and de novo design. The central concept of 'adaptive fitness landscapes' is highlighted along with practical examples from drug discovery projects.
authors.affiliation: Department of Chemistry and Applied Biosciences, Institute of Pharmaceutical Sciences, Zürich, Switzderland. gisbert.schneider@pharma.ethz.ch
authors.forename: Gisbert
authors.initials: G
authors.lastname: Schneider
mesh_terms: D002626:Chemistry, Pharmaceutical; D017076:Computer-Aided Design; D015195:Drug Design; D008958:Models, Molecular; D011485:Protein Binding; D011506:Proteins / Q000037:antagonists & inhibitors / Q000737:chemistry; D013329:Structure-Activity Relationship
chemical_list: D011506:Proteins