Approximation and inference methods for stochastic biochemical kinetics—a tutorial review

D Schnoerr, G Sanguinetti… - Journal of Physics A …, 2017 - iopscience.iop.org
Stochastic fluctuations of molecule numbers are ubiquitous in biological systems. Important
examples include gene expression and enzymatic processes in living cells. Such systems …

The potential role of ischaemia–reperfusion injury in chronic, relapsing diseases such as rheumatoid arthritis, Long COVID, and ME/CFS: evidence, mechanisms, and …

DB Kell, E Pretorius - Biochemical Journal, 2022 - portlandpress.com
Ischaemia–reperfusion (I–R) injury, initiated via bursts of reactive oxygen species produced
during the reoxygenation phase following hypoxia, is well known in a variety of acute …

Flow*: An analyzer for non-linear hybrid systems

X Chen, E Ábrahám, S Sankaranarayanan - Computer Aided Verification …, 2013 - Springer
Abstract The tool Flow* performs Taylor model-based flowpipe construction for non-linear
(polynomial) hybrid systems. Flow* combines well-known Taylor model arithmetic …

Serum ferritin is an important inflammatory disease marker, as it is mainly a leakage product from damaged cells

DB Kell, E Pretorius - Metallomics, 2014 - academic.oup.com
Abstract" Serum ferritin" presents a paradox, as the iron storage protein ferritin is not
synthesised in serum yet is to be found there. Serum ferritin is also a well known …

[KİTAP][B] An introduction to systems biology: design principles of biological circuits

U Alon - 2019 - api.taylorfrancis.com
Praise for the first edition:… superb, beautifully written and organized work that takes an
engineering approach to systems biology. Alon provides nicely written appendices to …

Modelling and analysis of gene regulatory networks

G Karlebach, R Shamir - Nature reviews Molecular cell biology, 2008 - nature.com
Gene regulatory networks have an important role in every process of life, including cell
differentiation, metabolism, the cell cycle and signal transduction. By understanding the …

[KİTAP][B] Stochastic modelling for systems biology

DJ Wilkinson - 2018 - taylorfrancis.com
Since the first edition of Stochastic Modelling for Systems Biology, there have been many
interesting developments in the use of" likelihood-free" methods of Bayesian inference for …

[HTML][HTML] Kinetic models in industrial biotechnology–improving cell factory performance

J Almquist, M Cvijovic, V Hatzimanikatis, J Nielsen… - Metabolic …, 2014 - Elsevier
An increasing number of industrial bioprocesses capitalize on living cells by using them as
cell factories that convert sugars into chemicals. These processes range from the production …

Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases

DB Kell - BMC medical genomics, 2009 - Springer
Background The production of peroxide and superoxide is an inevitable consequence of
aerobic metabolism, and while these particular'reactive oxygen species'(ROSs) can exhibit a …

Clustered ANFIS network using fuzzy c-means, subtractive clustering, and grid partitioning for hourly solar radiation forecasting

K Benmouiza, A Cheknane - Theoretical and Applied Climatology, 2019 - Springer
In this paper, an improved clustered adaptive neuro-fuzzy inference system (ANFIS) to
forecast an hour-ahead solar radiation data for 915 h is introduced. First, we have classified …