title: Optimisation of halogenase enzyme activity by application of a genetic algorithm.
abstract: A genetic algorithm (GA) was applied for the optimisation of an enzyme assay composition respectively the enzyme activity of a recombinantly produced FADH(2)-dependent halogenating enzyme. The examined enzyme belongs to the class of halogenases and is capable to halogenate tryptophan regioselective in position 5. Therefore, the expressed trp-5-halogenase can be an interesting tool in the manufacturing of serotonin precursors. The application of stochastic search strategies (e.g. GAs) is well suited for fast determination of the global optimum in multidimensional search spaces, where statistical approaches or even the popular classical one-factor-at-a-time method often failures by misleading to local optima. The concentrations of six different medium components were optimised and the maximum yield of the halogenated tryptophan could be increased from 3.5 up to 65%.
authors.affiliation: Institute of Bioprocess Engineering, TU Kaiserslautern, Gottlieb-Daimler-Strasse 44, D-67663 Kaiserslautern, Germany. muffler@rhrk.uni-kl.de
authors.forename: Kai
authors.initials: K
authors.lastname: Muffler
authors.forename: Marco
authors.initials: M
authors.lastname: Retzlaff
authors.forename: Karl-Heinz
authors.initials: KH
authors.lastname: van Pée
authors.forename: Roland
authors.initials: R
authors.lastname: Ulber
mesh_terms: D000465:Algorithms; D019020:Directed Molecular Evolution; D008956:Models, Chemical; D008957:Models, Genetic; D010088:Oxidoreductases / Q000737:chemistry* / Q000235:genetics*; D012701:Serotonin / Q000096:biosynthesis / Q000737:chemistry; D013379:Substrate Specificity; D014364:Tryptophan / Q000031:analogs & derivatives / Q000096:biosynthesis / Q000737:chemistry
chemical_list: D012701:Serotonin; D014364:Tryptophan; D010088:Oxidoreductases; C407363:tryptophan halogenase