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pro vyhledávání: '"Mitchell, John B. O."'
Autor:
Mitchell, John B. O.
In this article, I discuss the current state of the debate around the simulation hypothesis, the idea that the world we inhabit is a computer simulation in or within another universe. Considering recent work from a range of authors, I suggest that st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______901::94e125ce90b01550b4929e5b54b975ad
https://www.scienceandchristianbelief.org/view_abstract.php?ID=1470
https://www.scienceandchristianbelief.org/view_abstract.php?ID=1470
Publikováno v:
Journal of Cheminformatics, Vol 9, Iss 1, Pp 1-14 (2017)
Journal of Cheminformatics
Journal of Cheminformatics
This work took place as SB’s MChem undergraduate research project at the University of St Andrews. The authors thank University of St Andrews Library for funding the Open Access publication of this work. AO’s laboratory is supported by the UK Bio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::ed13b05716f1c6d1e9a01f1245b19e4e
https://hdl.handle.net/10023/12351
https://hdl.handle.net/10023/12351
Publikováno v:
BMC Research Notes
The authors thank the BBSRC for funding this research through grant BB/I00596X/1 and are also grateful to the Scottish Universities Life Sciences Alliance (SULSA) for financial support We recently reported that one may be able to predict with high ac
Publikováno v:
Journal of Cheminformatics
Mussa and Mitchell thank the BBSRC for funding this research through grant BB/I00596X/1. Mitchell thanks the Scottish Universities Life Sciences Alliance (SULSA) for financial support. It is common in cheminformatics to represent the properties of a
We thank the BBSRC for funding this research through grant BB/I00596X/1. JBOM thanks the Scottish Universities Life Sciences Alliance (SULSA) for financial support. Pattern classification methods assign an object to one of several predefined classe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______901::c8f5a5a36fe8efc1c3b638b9da0889b3
https://hdl.handle.net/10023/6909
https://hdl.handle.net/10023/6909
Publikováno v:
Evolutionary Bioinformatics, Vol 11 (2015)
Evolutionary Bioinformatics, Vol 2015, Iss 11, Pp 267-274 (2015)
Beattie, K E, De Ferrari, L & Mitchell, J B O 2015, ' Why do Sequence Signatures Predict Enzyme Mechanism? Homology versus Chemistry ', Evolutionary bioinformatics, vol. 11, pp. 267-74 . https://doi.org/10.4137/EBO.S31482
Evolutionary Bioinformatics, Vol 2015, Iss 11, Pp 267-274 (2015)
Beattie, K E, De Ferrari, L & Mitchell, J B O 2015, ' Why do Sequence Signatures Predict Enzyme Mechanism? Homology versus Chemistry ', Evolutionary bioinformatics, vol. 11, pp. 267-74 . https://doi.org/10.4137/EBO.S31482
We identify, firstly, InterPro sequence signatures representing evolutionary relatedness and, secondly, signatures identifying specific chemical machinery. Thus, we predict the chemical mechanisms of enzyme catalysed reactions from “catalytic” an