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Douglas B. Kell

Researcher at University of Liverpool

Publications -  657
Citations -  55792

Douglas B. Kell is an academic researcher from University of Liverpool. The author has contributed to research in topics: Systems biology & Dielectric. The author has an hindex of 111, co-authored 634 publications receiving 50335 citations. Previous affiliations of Douglas B. Kell include Max Planck Society & University of Wales.

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Snapshots of Systems

TL;DR: It is timely to take stock of progress, to recognize that the take-up of these methods among biotechnologists has been less than widespread, and to give a personal and critical review of successes, failures, problems and prospects for the use of metabolic control analysis in biotechnology.
Journal ArticleDOI

Mechanisms for the interaction between nonstationary electric fields and biological systems I. Linear dielectric theory and its limitations

TL;DR: In this paper, the role of electric interactions in enzyme catalysis and biological free-energy transduction is examined, and a review of linear dielectric theory and nonlinear non-stationary electric fields is provided.
Journal ArticleDOI

Determination of the geographical origin of Italian extra virgin olive oil using pyrolysis mass spectrometry and artificial neural networks

TL;DR: In this article, the authors used a data-splitting program, Multiplex (A. Jones, D.B. Kell and J. Rowland, Submitted to Analytica Chimica Acta (1996)) was used to sort the spectra into training and test sets in the ratio 2:1 for Abruzzo: Sardinia and Apulia:Sardinia predictions and a ratio of 1: 1 for Lazio:Sicily.
Journal ArticleDOI

Deterministic mathematical models of the cAMP pathway in Saccharomyces cerevisiae

TL;DR: It is suggested that the lower number of reactions and parameters makes these models suitable for integrating them with models of metabolism or of the cell cycle in S. cerevisiae and for studies in the human pathogen Candida albicans as well as other less well-characterized fungal species.

Pregnancy/Preeclampsia Robust Early Pregnancy Prediction of Later Preeclampsia Using Metabolomic Biomarkers

TL;DR: The finding of a consistent discriminatory metabolite signature in early pregnancy plasma preceding the onset of preeclampsia offers insight into disease pathogenesis and offers the tantalizing promise of a robust presymptomatic screening test.