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Douglas B. Kell [3]Douglas Kell [1]
  1. Douglas B. Kell (2012). Scientific Discovery as a Combinatorial Optimisation Problem: How Best to Navigate the Landscape of Possible Experiments? Bioessays 34 (3):236-244.
    A considerable number of areas of bioscience, including gene and drug discovery, metabolic engineering for the biotechnological improvement of organisms, and the processes of natural and directed evolution, are best viewed in terms of a ‘landscape’ representing a large search space of possible solutions or experiments populated by a considerably smaller number of actual solutions that then emerge. This is what makes these problems ‘hard’, but as such these are to be seen as combinatorial optimisation problems that are best attacked (...)
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  2. Douglas B. Kell & Stephen G. Oliver (2004). Here is the Evidence, Now What is the Hypothesis? The Complementary Roles of Inductive and Hypothesis‐Driven Science in the Post‐Genomic Era. Bioessays 26 (1):99-105.
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  3. Ross King, Whelan D., E. Kenneth, Ffion Jones, Reiser M., G. K. Philip, Christopher Bryant, Muggleton H., H. Stephen, Douglas Kell, Oliver B. & G. Stephen (2004). Functional Genomic Hypothesis Generation and Experimentation by a Robot Scientist. Nature 427 (6971):247--52.
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  4. Pedro Mendes & Douglas B. Kell (1993). On the Role of Enzyme Kinetic Parameters in Determining the Effectiveness with Which Channelling Can Decrease the Size of a Metabolite Pool. Acta Biotheoretica 41 (1-2).
    Recently, it has been argued that the phenomenon of direct transfer of intermediate metabolites between adjacent enzymes, also known as metabolic channelling, would not decrease the concentration of those intermediates in the bulk solution. However, this conclusion has been drawn by extrapolation from the results of simulations with a rather restricted set of parameters. We show that, for a number of kinetic cases, the existence of metabolic channelling can decrease the size of the soluble pool of intermediates. When the enzyme(s) (...)
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