D
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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On the relationship between the nonlinear dielectric properties and respiratory activity of the obligately aerobic bacterium Micrococcus luteus
TL;DR: The results suggest that the major source of nonlinear dielectricity within the respiratory chain is either in the branch to cytochrome b 558 or proximal to the site at which HQNO binds, and provides a novel method for the measurement of respiratory activity in situ.
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Low cost, portable, fast multiparameter data acquisition system for organic transistor odour sensors
Arindam Das,R. Dost,Tim H. Richardson,Martin Grell,David C. Wedge,Douglas B. Kell,John J. Morrison,Michael L. Turner +7 more
TL;DR: In this article, the authors demonstrate a cost-effective but fast multiparameter data acquisition system for odour sensors based on low threshold organic field effect transistors (OFETs) with an amorphous methoxy-derivative of poly(triaryl amine) (PTA-OMe) as semiconductor.
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Implications of endogenous roles of transporters for drug discovery: hitchhiking and metabolite-likeness
TL;DR: Implications of endogenous roles of transporters for drug discovery: hitchhiking and metabolite-likeness are studied.
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biochem4j: integrated and extensible biochemical knowledge through graph databases
Neil Swainston,Riza Theresa Batista-Navarro,Pablo Carbonell,Paul D. Dobson,Mark S. Dunstan,Adrian J. Jervis,Maria Vinaixa,Alan Williams,Sophia Ananiadou,Jean-Loup Faulon,Pedro Mendes,Douglas B. Kell,Nigel S. Scrutton,Rainer Breitling +13 more
TL;DR: The biochem4j framework establishes a starting point for the flexible integration and exploitation of an ever-wider range of biological data sources, from public databases to laboratory-specific experimental datasets, for the benefit of systems biologists, biosystems engineers and the wider community of molecular biologists and biological chemists.
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The markup is the model: Reasoning about systems biology models in the Semantic Web era
TL;DR: SBML allows for distributed analysis of biochemical networks using loosely coupled workflows, and with the advent of the Internet the various software modules that one might use to analyze biochemical models can reside on entirely different computers and even on different continents.