Christoph Hoh | PubMed Health

PubMed2002

Optimization of the enzymatic synthesis of O-glycan core 2 structure by use of a genetic algorithm.

The enzymatic synthesis of Gal-beta 1,3[GlcNAc-beta 1,6]-GalNAc-alpha 1-OBn (core 2-Bn) using a multi-enzyme system consisting of a beta-galactosidase (EC 3.2.1.23) from bovine testes and a recombinant core 2 beta 1,6-GlcNAc transferase (C2GnT, EC 2.4.1.102) was empirically optimized by the use of a genetic algorithm. After variation of seven relevant parameters and performance of 56 experiments, two local maxima regarding the selection criteria could be found after four generations of optimization. The selectivity of core 2-Bn formation showed values up to 90%.

Algorithms↗

PubMed2002

Genetic algorithms as a tool for capillary electrophoresis method development.

Capillary electrophoresis is a powerful and versatile analytical tool due to the wide range of separation variables and separation methods possible. CE permits the combination of multiple separation mechanisms (e.g., chiral modifiers, polarity, pH) for the analysis of a large variety of compounds. The main advantage of CE (i.e., the broad range of separation variables) has thus far limited its application. This is due to the nonlinear influence and interactions of different parameters on separation quality, making it difficult to predict trends for the optimization of separation systems and hence hindering CE method development. In this paper, we present a means for rationalizing method development for CE separations using a genetic algorithm. We provide selected examples of separation enhancements achieved in the field of nucleotide and nucleotide sugar separation. An improved method for the enantioselective separation of amino acid derivatives (2-acetylamino-3-phenyl-propionic acid) will also be presented.

Adenine Nucleotides↗