FB2026_02 , released June 18, 2026
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Citation
Spratt, S.J. (2020). A Turing machine for the Life Sciences.  D. I. S. 103(): 57--63.
FlyBase ID
FBrf0248044
Publication Type
Research paper
Abstract
During the development of new medicines mutually exclusive specificity appears to be required but hitherto is most often included at the late clinical trial stage. Here, I describe the use of Hedgehog signalling in Drosophila as a model to represent a mutually exclusive relationship within the context and report the identification of CG43658, a putative Rho guanine nucleotide exchange factor and orthologue of the Charcot- Marie-Tooth disease associated gene ARHGEF10. Furthermore, a Computer that is able to consider the whole and describe the sum of everything in it absolutely in unambiguous terms is a useful tool. Here I describe such a computer with a suggestion for an application to examine any component in the context where a medicine is sought. Taken, together I would like to propose this method as a fundamental necessity and improvement upon current existing methods related not only to Hedgehog signalling but plausibly to life science research and the search for medicines in general.
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    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    D. I. S.
    Title
    Drosophila Information Service
    Publication Year
    1934-
    ISBN/ISSN
    0070-7333
    Data From Reference
    Genes (1)