Effective experimental design: enzyme kinetics in the bioinformatics era.
Acquiring details about the kinetic parameters of enzymes is crucial to both drug development and clinical diagnosis. The correct design of an experiment is crucial to collecting data suitable for analysis, modelling and deriving the correct information. As classical design methods are not targeted to the more complex kinetics now frequently studied, further work is required to estimate parameters of such models with low variance. This review examines the different options available to produce major gains in information, productivity and the accuracy of each experiment.
Murphy
Emma F
EF
Bioinformatics, Division of Cell and Molecular Biology, School of Animal and Microbial Sciences, The University of Reading, Whiteknights, Reading, Berkshire RG6 6AJ, UK. e.f.murphy@reading.ac.uk
Gilmour
Steven G
SG
Crabbe
M James C
MJ
D000818:Animals; D001499:Bayes Theorem; D019295:Computational Biology / Q000639:trends*; D004798:Enzymes / Q000378:metabolism*; D006801:Humans; D007700:Kinetics; D010600:Pharmacology; D012107:Research Design
D004798:Enzymes