Efficient and cost‐effective experimental determination of kinetic constants and data: the success of a Bayesian systematic approach to drug transport, receptor binding, continuous culture and cell transport kinetics

FEBS Letters

Crabbe, M.James C.¹  Gilmour, Steven G.²  Murphy, Emma F.¹ 

[1] Division of Cell and Molecular Biology, School of Animal and Microbial Sciences, The University of Reading, Whiteknights, Reading, RG6 6AJ, UK;School of Mathematical Sciences, Queen Mary, University of London, Mile End Road, London E1 4NS, UK

关键词: Tyrosine transport;    Dopamine receptor;    10;    11-Dihydroxy-N-n-propylnorapomorphine;    Kinetics;    Microbial culture;   

DOI  :  10.1016/S0014-5793(03)01407-8

学科分类：生物化学/生物物理

来源: John Wiley & Sons Ltd.

【 摘 要 】

Details about the parameters of kinetic systems are crucial for progress in both medical and industrial research, including drug development, clinical diagnosis and biotechnology applications. Such details must be collected by a series of kinetic experiments and investigations. The correct design of the experiment is essential to collecting data suitable for analysis, modelling and deriving the correct information. We have developed a systematic and iterative Bayesian method and sets of rules for the design of enzyme kinetic experiments. Our method selects the optimum design to collect data suitable for accurate modelling and analysis and minimises the error in the parameters estimated. The rules select features of the design such as the substrate range and the number of measurements. We show here that this method can be directly applied to the study of other important kinetic systems, including drug transport, receptor binding, microbial culture and cell transport kinetics. It is possible to reduce the errors in the estimated parameters and, most importantly, increase the efficiency and cost-effectiveness by reducing the necessary amount of experiments and data points measured.

【 授权许可】

Unknown