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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-1-...
Part of book or chapter of book . 2011 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Pure University of Manchester
Part of book or chapter of book . 2011
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From Silicon Cell to Silicon Human

Authors: Frank J. Bruggeman; Hans V. Westerhoff; Hans V. Westerhoff; Maciej Swat; Malkhey Verma; Neil W. Hayes; Jacky L. Snoep; +3 Authors

From Silicon Cell to Silicon Human

Abstract

This chapter discusses the silicon cell paradigm, i.e. the existing systems biology activity of making experiment-based computer replica of parts of biological systems. Now that such mathematical models are accessible to in silico experimentation through the World-Wide Web, a new future has come to biology. Some experimentation can now be done in silico, leading to significant discoveries of new mechanisms of robustness, of new drug targets, as well as to harder validations or falsifications of biological hypotheses. One aspect of this future is the association of such live models into models that simulate larger parts of the human body, up to organs and the whole individual. Reasons to embark on this type of systems biology, as well as some of the challenges that lie ahead, are discussed. It is shown that true silicon cell models are hard to obtain. Shortcut solutions are indicated. One of the major attempts at silicon cell systems biology, in the Manchester Centre for Integrative Systems Biology, is discussed in some detail. Early attempts at higher order, human, silicon cell models are described briefly, one addressing interactions between intracellular compartments and a second trying to deal with interactions between organs.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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