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

TY - JOUR

T1 - Efficient and cost-effective experimental determination of kinetic constants and data

T2 - The success of a Bayesian systematic approach to drug transport, receptor binding, continuous culture and cell transport kinetics

AU - Murphy, Emma F.

AU - Gilmour, Steven G.

AU - Crabbe, M. James C

PY - 2004/1/2

Y1 - 2004/1/2

N2 - 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.

AB - 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.

KW - 10,11-Dihydroxy-N-n- propylnorapomorphine

KW - Dopamine receptor

KW - Kinetics

KW - Microbial culture

KW - Tyrosine transport

UR - http://www.scopus.com/inward/record.url?scp=0347355513&partnerID=8YFLogxK

U2 - 10.1016/S0014-5793(03)01407-8

DO - 10.1016/S0014-5793(03)01407-8

M3 - Article

C2 - 14706849

AN - SCOPUS:0347355513

SN - 0014-5793

VL - 556

SP - 193

EP - 198

JO - FEBS Letters

JF - FEBS Letters

IS - 1-3

ER -