title: Modeling chemical reactions for drug design.
abstract: Chemical reactions are involved at many stages of the drug design process. This starts with the analysis of biochemical pathways that are controlled by enzymes that might be downregulated in certain diseases. In the lead discovery and lead optimization process compounds have to be synthesized in order to test them for their biological activity. And finally, the metabolism of a drug has to be established. A better understanding of chemical reactions could strongly help in making the drug design process more efficient. We have developed methods for quantifying the concepts an organic chemist is using in rationalizing reaction mechanisms. These methods allow a comprehensive modeling of chemical reactivity and thus are applicable to a wide variety of chemical reactions, from gas phase reactions to biochemical pathways. They are empirical in nature and therefore allow the rapid processing of large sets of structures and reactions. We will show here how methods have been developed for the prediction of acidity values and of the regioselectivity in organic reactions, for designing the synthesis of organic molecules and of combinatorial libraries, and for furthering our understanding of enzyme-catalyzed reactions and of the metabolism of drugs.
authors.affiliation: Computer-Chemie-Centrum, Universität Erlangen-Nürnberg, 91052 Erlangen, Germany. gasteiger@chemie.uni-erlangen.de
authors.forename: Johann
authors.initials: J
authors.lastname: Gasteiger
mesh_terms: D015195:Drug Design; D004798:Enzymes / Q000737:chemistry / Q000502:physiology; D008660:Metabolism / Q000502:physiology*; D008956:Models, Chemical
chemical_list: D004798:Enzymes