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Modelling the molecular mechanisms of aging
MT Mc Auley, AM Guimera, D Hodgson… - Bioscience …, 2017 - portlandpress.com
The aging process is driven at the cellular level by random molecular damage that slowly
accumulates with age. Although cells possess mechanisms to repair or remove damage …
accumulates with age. Although cells possess mechanisms to repair or remove damage …
Molecular basis of signaling specificity of insulin and IGF receptors: neglected corners and recent advances
K Siddle - Frontiers in endocrinology, 2012 - frontiersin.org
Insulin and insulin-like growth factor (IGF) receptors utilize common phosphoinositide 3-
kinase/Akt and Ras/extracellular signal-regulated kinase signaling pathways to mediate a …
kinase/Akt and Ras/extracellular signal-regulated kinase signaling pathways to mediate a …
A dynamic network model of mTOR signaling reveals TSC-independent mTORC2 regulation
P Dalle Pezze, AG Sonntag, A Thien, MT Prentzell… - Science …, 2012 - science.org
The kinase mammalian target of rapamycin (mTOR) exists in two multiprotein complexes
(mTORC1 and mTORC2) and is a central regulator of growth and metabolism. Insulin …
(mTORC1 and mTORC2) and is a central regulator of growth and metabolism. Insulin …
[HTML][HTML] Parameter uncertainty in biochemical models described by ordinary differential equations
Improved mechanistic understanding of biochemical networks is one of the driving ambitions
of Systems Biology. Computational modeling allows the integration of various sources of …
of Systems Biology. Computational modeling allows the integration of various sources of …
Systems biology: model based evaluation and comparison of potential explanations for given biological data
Systems biology and its usage of mathematical modeling to analyse biological data is
rapidly becoming an established approach to biology. A crucial advantage of this approach …
rapidly becoming an established approach to biology. A crucial advantage of this approach …
A methodology for global-sensitivity analysis of time-dependent outputs in systems biology modelling
T Sumner, E Shephard… - Journal of The Royal …, 2012 - royalsocietypublishing.org
One of the main challenges in the development of mathematical and computational models
of biological systems is the precise estimation of parameter values. Understanding the …
of biological systems is the precise estimation of parameter values. Understanding the …
[HTML][HTML] Mass and information feedbacks through receptor endocytosis govern insulin signaling as revealed using a parameter-free modeling framework
C Brännmark, R Palmér, ST Glad, G Cedersund… - Journal of Biological …, 2010 - Elsevier
Insulin and other hormones control target cells through a network of signal-mediating
molecules. Such networks are extremely complex due to multiple feedback loops in …
molecules. Such networks are extremely complex due to multiple feedback loops in …
[HTML][HTML] A hierarchical whole-body modeling approach elucidates the link between in vitro insulin signaling and in vivo glucose homeostasis
E Nyman, C Brännmark, R Palmér, J Brugård… - Journal of Biological …, 2011 - Elsevier
Type 2 diabetes is a metabolic disease that profoundly affects energy homeostasis. The
disease involves failure at several levels and subsystems and is characterized by insulin …
disease involves failure at several levels and subsystems and is characterized by insulin …
Caveolins and caveolae, roles in insulin signalling and diabetes
P Strålfors - Caveolins and Caveolae: Roles in Signaling and …, 2012 - Springer
Much data in the scientific literature demonstrate a fundamental involvement of caveolae in
insulin action, although particular aspects remain matters of debate. The insulin receptor …
insulin action, although particular aspects remain matters of debate. The insulin receptor …
Optimal experiment design for model selection in biochemical networks
Background Mathematical modeling is often used to formalize hypotheses on how a
biochemical network operates by discriminating between competing models. Bayesian …
biochemical network operates by discriminating between competing models. Bayesian …