Abstract
Flavonoids are plant secondary metabolites that are extensively
studied for their proposed positive effects on human
health. They are the end products of a cascade of
enzymatic reactions that convert initially toxic substances
to glycosylated forms. To determine which enzymes are
precisely responsible for which conversions is by far not
trivial, since hundreds of candidate genes are in principle
capable of performing the transformation of interest. In
this paper we propose a method to solve this problem for
the glycosylation of flavonoids by coupling gene expression
data to the metabolic pathway underlying glycosylation.
The core of the method is to estimate time dependent
coefficients in a highly efficient way. To show how
this approach performs, we apply this method to study the
flavonoid glycosylation pathway in tomato (Solanum lycopersicum)
seedlings.
Original language | English |
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Title of host publication | 9th International Workshop on Computational Systems Biology, Ulm, Germany, 4-6th June 2012, Ulm |
Publisher | Tampere International Center for Signal Processing |
Pages | 7-10 |
Publication status | Published - 2012 |
Event | 9th International Workshop on Computational Systems Biology, Ulm, Germany - Duration: 4 Jun 2012 → 6 Jun 2012 |
Workshop
Workshop | 9th International Workshop on Computational Systems Biology, Ulm, Germany |
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Period | 4/06/12 → 6/06/12 |