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  • Frey, Simone (author)

How quantitative measures unravel design principles in multi-stage phosphorylation cascades.

  • Article/chapterEnglish2008

Publisher, publication year, extent ...

  • Elsevier BV,2008

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  • LIBRIS-ID:oai:gup.ub.gu.se/75036
  • https://gup.ub.gu.se/publication/75036URI
  • https://doi.org/10.1016/j.jtbi.2008.04.037DOI
  • https://research.chalmers.se/publication/75036URI

Supplementary language notes

  • Language:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • We investigate design principles of linear multi-stage phosphorylation cascades by using quantitative measures for signaling time, signal duration and signal amplitude. We compare alternative pathway structures by varying the number of phosphorylations and the length of the cascade. We show that a model for a weakly activated pathway does not reflect the biological context well, unless it is restricted to certain parameter combinations. Focusing therefore on a more general model, we compare alternative structures with respect to a multivariate optimization criterion. We test the hypothesis that the structure of a linear multi-stage phosphorylation cascade is the result of an optimization process aiming for a fast response, defined by the minimum of the product of signaling time and signal duration. It is then shown that certain pathway structures minimize this criterion. Several popular models of MAPK cascades form the basis of our study. These models represent different levels of approximation, which we compare and discuss with respect to the quantitative measures.

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  • Millat, Thomas (author)
  • Hohmann, Stefan,1956Gothenburg University,Göteborgs universitet,Institutionen för cell- och molekylärbiologi,Department of Cell and Molecular Biology,University of Gothenburg(Swepub:cth)hohmann (author)
  • Wolkenhauer, Olaf (author)
  • Göteborgs universitetInstitutionen för cell- och molekylärbiologi (creator_code:org_t)

Related titles

  • In:Journal of theoretical biology: Elsevier BV254:1, s. 27-361095-85410022-5193

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