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Formulation, construction and analysis of kinetic models of metabolism: A review of modelling frameworks
Kinetic models are critical to predict the dynamic behaviour of metabolic networks.
Mechanistic kinetic models for large networks remain uncommon due to the difficulty of fitting …
Mechanistic kinetic models for large networks remain uncommon due to the difficulty of fitting …
How to deal with parameters for whole-cell modelling
Dynamical systems describing whole cells are on the verge of becoming a reality. But as
models of reality, they are only useful if we have realistic parameters for the molecular …
models of reality, they are only useful if we have realistic parameters for the molecular …
A kinetic model of Escherichia coli core metabolism satisfying multiple sets of mutant flux data
In contrast to stoichiometric-based models, the development of large-scale kinetic models of
metabolism has been hindered by the challenge of identifying kinetic parameter values and …
metabolism has been hindered by the challenge of identifying kinetic parameter values and …
Biphasic regulation of the transcription factor ABORTED MICROSPORES (AMS) is essential for tapetum and pollen development in Arabidopsis
Viable pollen is essential for plant reproduction and crop yield. Its production requires
coordinated expression at specific stages during anther development, involving early …
coordinated expression at specific stages during anther development, involving early …
Comprehensive review of models and methods for inferences in bio-chemical reaction networks
The key processes in biological and chemical systems are described by networks of
chemical reactions. From molecular biology to biotechnology applications, computational …
chemical reactions. From molecular biology to biotechnology applications, computational …
Advancing metabolic models with kinetic information
Highlights•Kinetic models are crucial to understand complex dynamic processes.•Not all
model parameters need to be known precisely due to overlap** regulatory …
model parameters need to be known precisely due to overlap** regulatory …
iSCHRUNK–in silico approach to characterization and reduction of uncertainty in the kinetic models of genome-scale metabolic networks
Accurate determination of physiological states of cellular metabolism requires detailed
information about metabolic fluxes, metabolite concentrations and distribution of enzyme …
information about metabolic fluxes, metabolite concentrations and distribution of enzyme …
Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions
Background Many mathematical models have now been employed across every area of
systems biology. These models increasingly involve large numbers of unknown parameters …
systems biology. These models increasingly involve large numbers of unknown parameters …
[BOK][B] Bacterial resistance to antibiotics: from molecules to man
BB Bonev, NM Brown - 2020 - Wiley Online Library
Bacterial resistance to antibiotics: from molecules to man Bacterial Resistance to Antibiotics–From
Molecules to Man Page 2 Bacterial Resistance to Antibiotics–From Molecules to Man Edited …
Molecules to Man Page 2 Bacterial Resistance to Antibiotics–From Molecules to Man Edited …
Regulators of calcium homeostasis identified by inference of kinetic model parameters from live single cells perturbed by siRNA
Assigning molecular functions and revealing dynamic connections between large numbers
of partially characterized proteins in regulatory networks are challenges in systems biology …
of partially characterized proteins in regulatory networks are challenges in systems biology …