Mathematical modelling of chemical processes—obtaining the best model predictions and parameter estimates using identifiability and estimability procedures
KAP McLean, KB McAuley - The Canadian Journal of Chemical …, 2012 - Wiley Online Library
Chemical engineers who develop fundamental models often have difficulties estimating all
model parameters due to problems with parameter identifiability and estimability. These two …
model parameters due to problems with parameter identifiability and estimability. These two …
A review of modeling bioelectrochemical systems: engineering and statistical aspects
Bioelectrochemical systems (BES) are promising technologies to convert organic
compounds in wastewater to electrical energy through a series of complex physical …
compounds in wastewater to electrical energy through a series of complex physical …
Good modeling practice for industrial chromatography: mechanistic modeling of ion exchange chromatography of a bispecific antibody
In the biopharmaceutical industry, development and characterization of chromatography
processes is typically based on statistical models. Although these approaches are easy to …
processes is typically based on statistical models. Although these approaches are easy to …
Mathematical model of dynamic behavior of microbial desalination cells for simultaneous wastewater treatment and water desalination
Q Ping, C Zhang, X Chen, B Zhang… - … science & technology, 2014 - ACS Publications
Microbial desalination cells (MDCs) are an emerging concept for simultaneous wastewater
treatment and water desalination. This work presents a mathematical model to simulate …
treatment and water desalination. This work presents a mathematical model to simulate …
Optimal experimental design for parameter estimation of an IL-6 signaling model
A Sinkoe, J Hahn - Processes, 2017 - mdpi.com
IL-6 signaling plays an important role in inflammatory processes in the body. While a
number of models for IL-6 signaling are available, the parameters associated with these …
number of models for IL-6 signaling are available, the parameters associated with these …
A simple work flow for biologically inspired model reduction-application to early JAK-STAT signaling
Background Modeling of biological pathways is a key issue in systems biology. When
constructing a model, it is tempting to incorporate all known interactions of pathway species …
constructing a model, it is tempting to incorporate all known interactions of pathway species …
Novel influences of IL-10 on CNS inflammation revealed by integrated analyses of cytokine networks and microglial morphology
WD Anderson, AD Greenhalgh, A Takwale… - Frontiers in Cellular …, 2017 - frontiersin.org
Coordinated interactions between cytokine signaling and morphological dynamics of
microglial cells regulate neuroinflammation in CNS injury and disease. We found that pro …
microglial cells regulate neuroinflammation in CNS injury and disease. We found that pro …
Memory effects in biochemical networks as the natural counterpart of extrinsic noise
We show that in the generic situation where a biological network, eg a protein interaction
network, is in fact a subnetwork embedded in a larger “bulk” network, the presence of the …
network, is in fact a subnetwork embedded in a larger “bulk” network, the presence of the …
Clustering reveals limits of parameter identifiability in multi-parameter models of biochemical dynamics
Background Compared to engineering or physics problems, dynamical models in
quantitative biology typically depend on a relatively large number of parameters. Progress in …
quantitative biology typically depend on a relatively large number of parameters. Progress in …
Diverse cell stimulation kinetics identify predictive signal transduction models
Computationally understanding the molecular mechanisms that give rise to cell signaling
responses upon different environmental, chemical, and genetic perturbations is a long …
responses upon different environmental, chemical, and genetic perturbations is a long …