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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Book ChapterDOI
Metabolic Channeling in Organized Enzyme Systems: Experiments and Models
TL;DR: Evidence gathered with various techniques indicates that the cellular water does not have the same properties as water in dilute aqueous solutions, which supports the view that classical enzymological studies may not provide sufficiently relevant information for generating a correct understanding of cellular physiology.
Journal ArticleDOI
Understanding the foundations of the structural similarities between marketed drugs and endogenous human metabolites
Steve O'Hagan,Douglas B. Kell +1 more
TL;DR: By extracting drug/endogenite substructures, a novel family of fingerprints is developed, the Drug Endogenite Substructure (DES) encodings, which provide a natural assessment of drug-endogenites likeness, and may be used as descriptors with which to derive quantitative structure-activity relationships (QSARs).
Journal ArticleDOI
Uncouplers can shuttle between localized energy-coupling sites during photophosphorylation by chromatophores of Rhodopseudomonas capsulata N22
G D Hitchens,Douglas B. Kell +1 more
TL;DR: It is found that the titre of uncoupler necessary to cause complete uncoupling is lowered if the rate of photophosphorylation is initially decreased by partially restricting electron flow with an appropriate Titre of antimycin A.
Journal ArticleDOI
Fast automatic registration of images using the phase of a complex wavelet transform: Application to proteome gels
TL;DR: Image registration describes the process of manipulating a distorted version of an image such that its pixels overlay the equivalent pixels in a clean, master or reference image.
Journal ArticleDOI
MetMaxStruct: A Tversky-Similarity-Based Strategy for Analysing the (Sub)Structural Similarities of Drugs and Endogenous Metabolites
Steve O'Hagan,Douglas B. Kell +1 more
TL;DR: The Tversky similarity metrics provide a more useful range of examples of molecular similarity than does the simpler Tanimoto similarity, and help to draw attention to molecular similarities that would not be recognized if TAnimoto alone were used.