Kell, Douglas B.

A model of yeast glycolysis based on a consistent kinetic characterisation of all its enzymes

Smallbone, K., Messiha, H. L., Carroll, K. M., Winder, C. L., Malys, N., Dunn, W. B., Murabito, E., Swainston, N., Dada, J. O., Khan, F., et al. (2013) · FEBS Letters

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 147

Noninvasive, On-Line Monitoring of the Biotransformation by Yeast of Glucose to Ethanol Using Dispersive Raman Spectroscopy and Chemometrics

Shaw, A. D., Kaderbhai, N., Jones, A., Woodward, A. M., Goodacre, R., Rowland, J. J., & Kell, D. B. (1999) · Applied Spectroscopy

Spectroscopy and Chemometric AnalysesSpectroscopy Techniques in Biomedical and Chemical Research

Cited by 84

The virtual human: Towards a global systems biology of multiscale, distributed biochemical network models

Kell, D. B. (2007) · IUBMB Life

Gene Regulatory Network AnalysisBioinformatics and Genomic Networks

Cited by 52

Stimulation by potassium ions of the growth of Rhizopus oligosporus during liquid-and solid-substrate fermentations

Pe�aloza, W., Davey, C. L., Hedger, J. N., & Kell, D. B. (1991) · World Journal of Microbiology & Biotechnology

Fungal and yeast genetics researchFood Nutrient Composition and Product Development

Cited by 31

Physiological studies on the solid‐state quinoa tempe fermentation, using on‐line measurements of fungal biomass production

Peñaloza, W., Davey, C. L., Hedger, J. N., & Kell, D. B. (1992) · Journal of the Science of Food and Agriculture

Advanced Scientific Research MethodsFood Quality and Safety Studies

Cited by 29

Bayesian inference of the sites of perturbations in metabolic pathways via Markov chain Monte Carlo

Jayawardhana, B., Kell, D. B., & Rattray, M. (2008) · Bioinformatics

Gene Regulatory Network AnalysisMicrobial Metabolic Engineering and Bioproduction

Cited by 26

FragNet, a Contrastive Learning-Based Transformer Model for Clustering, Interpreting, Visualizing, and Navigating Chemical Space

Shrivastava, A. D., & Kell, D. B. (2021) · Molecules

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 25

On the analysis of the inverse problem of metabolic pathways using artificial neural networks

Mendes, P., & Kell, D. B. (1996) · Biosystems

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 24

AmyloGram reveals amyloidogenic potential in stroke thrombus proteomes

Kell, D. B., Doyle, K. M., Salcedo-Sora, J. E., Sekhar, A., Walker, M., & Pretorius, E. (2025) · Biochemical Journal

Alzheimer's disease research and treatmentsMachine Learning in Bioinformatics

Cited by 4