activity
20072023
most citedCOVRECON: Combining Genome-scale Metabolic Network Reconstruction and Data-driven Inverse Modeling to Reveal Changes in Metabolic Interaction Networks

14 citations · 40 across the 17 of their papers we have counts for

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Showing q-bio.MNShow all

7 papers · 1 filter

q-bio.MN2023★ 14 cited

COVRECON: Combining Genome-scale Metabolic Network Reconstruction and Data-driven Inverse Modeling to Reveal Changes in Metabolic Interaction Networks

Jiahang Li, Steffen Waldherr, Wolfram Weckwerth

One central goal of systems biology is to infer biochemical regulations from large-scale OMICS data. Many aspects of cellular physiology and organism phenotypes could be understood…

q-bio.MN2013

Dynamic optimization of metabolic networks coupled with gene expression

Steffen Waldherr, Diego A. Oyarzún, Alexander Bockmayr

The regulation of metabolic activity by tuning enzyme expression levels is crucial to sustain cellular growth in changing environments. Metabolic networks are often studied at stea…

q-bio.MN2010

Density-based modeling and identification of biochemical networks in cell populations

J. Hasenauer, S. Waldherr, M. Doszczak +2

In many biological processes heterogeneity within cell populations is an important issue. In this work we consider populations where the behavior of every single cell can be descri…

q-bio.MN2009

Global Sensitivity Analysis of Biochemical Reaction Networks via Semidefinite Programming

Steffen Waldherr, Rolf Findeisen, Frank Allgöwer

We study the problem of computing outer bounds for the region of steady states of biochemical reaction networks modelled by ordinary differential equations, with respect to paramet…

q-bio.MN2008★ 11 cited

Searching bifurcations in high-dimensional parameter space via a feedback loop breaking approach

Steffen Waldherr, Frank Allgöwer

Bifurcations leading to complex dynamical behaviour of non-linear systems are often encountered when the characteristics of feedback circuits in the system are varied. In systems w…

q-bio.MN2007★ 1 cited

A feedback approach to bifurcation analysis in biochemical networks with many parameters

Steffen Waldherr, Frank Allgower

Feedback circuits in biochemical networks which underly cellular signaling pathways are important elements in creating complex behavior. A specific aspect thereof is how stability…