Modelling biological systems is a significant task of systems biology and mathematical biology.[a]Computational systems biology[b][1] aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems. It involves the use of computer simulations of biological systems, including cellular subsystems (such as the networks of metabolites and enzymes which comprise metabolism, signal transduction pathways and gene regulatory networks), to both analyze and visualize the complex connections of these cellular processes.[2]
An unexpected emergent property of a complex system may be a result of the interplay of the cause-and-effect among simpler, integrated parts (see biological organisation). Biological systems manifest many important examples of emergent properties in the complex interplay of components. Traditional study of biological systems requires reductive methods in which quantities of data are gathered by category, such as concentration over time in response to a certain stimulus. Computers are critical to analysis and modelling of these data. The goal is to create accurate real-time models of a system's response to environmental and internal stimuli, such as a model of a cancer cell in order to find weaknesses in its signalling pathways, or modelling of ion channel mutations to see effects on cardiomyocytes and in turn, the function of a beating heart.
Cite error: There are <ref group=lower-alpha> tags or {{efn}} templates on this page, but the references will not show without a {{reflist|group=lower-alpha}} template or {{notelist}} template (see the help page).
^Andres Kriete, Roland Eils, Computational Systems Biology, Elsevier Academic Press, 2006.
^Tavassoly, Iman; Goldfarb, Joseph; Iyengar, Ravi (2018-10-04). "Systems biology primer: the basic methods and approaches". Essays in Biochemistry. 62 (4): 487–500. doi:10.1042/EBC20180003. ISSN 0071-1365. PMID 30287586. S2CID 52922135.
and 26 Related for: Modelling biological systems information
Systems biology is the computational and mathematical analysis and modeling of complex biologicalsystems. It is a biology-based interdisciplinary field...
2020 Systems science portal Biological network Artificial life Biologicalsystems engineering Evolutionary systems Organ systemSystems biology Systems ecology...
biology and materials science to study molecular systems ranging from small chemical systems to large biological molecules and material assemblies. The simplest...
and Complex Systems) at Université d'Évry Val-d'Essonne (University of Évry). MGS is particularly aimed at modellingbiologicalsystems. The MGS computational...
Outline for a Morphology of Modelling Methods: Contribution to a General Theory of Modelling C. West Churchman, The Systems Approach, New York: Dell Publishing...
modelling of apoptosis Modelling physiological systemsModelling of arterial disease Multi-scale modelling of the heart Modelling electrical properties...
the use of data analysis, mathematical modeling and computational simulations to understand biologicalsystems and relationships. An intersection of computer...
complex systems. Systems ecology seeks a holistic view of the interactions and transactions within and between biological and ecological systems. Systems ecologists...
Biological neuron models, also known as spiking neuron models, are mathematical descriptions of the conduction of electrical signals in neurons. Neurons...
particular biological phenomena present in many related organisms an in vitro modelsystem, representing complex in vivo systems a mathematical model of a biological...
implementation of viable system theory. At the biological level, this model is correspondent to autopoiesis. A viable system is any system organised in such...
The energy systems language, also referred to as energese, or energy circuit language, or generic systems symbols, is a modelling language used for composing...
evolution, biologicalmodeling, biophysics, and systems biology. From the past decade onwards, bioinformatics and the analysis of biological data have...
Systems biology relies heavily on building mathematical models to help understand and make predictions of biological processes. Specialized software to...
In general, biological engineers attempt to either mimic biologicalsystems to create products, or to modify and control biologicalsystems. Working with...
primary research interest in P systems is concerned with their use as a computational model, rather than for biologicalmodeling, although this is also being...
living systems and organisms, and it applies engineering principles to develop new biological parts, devices, and systems or to redesign existing systems found...
a larger fixed scale vertically when modelling topography to enhance a region's mountains. An architectural model permits visualization of internal relationships...
Association (IWA). Activated sludge models are used in scientific research to study biological processes in hypothetical systems. They can also be applied on...
referred to as systems biology. The opposing analytical approach of systems biology is biological organization which modelsbiologicalsystems and structures...
divided among a biophysical modelling of different subsystems and a more theoretical modelling of perception. Current models of perception have suggested...
network. In neuroscience, a biological neural network is a physical structure found in brains and complex nervous systems – a population of nerve cells...
to make data sets from computer simulations in the field of modellingbiologicalsystems, particularly biomolecular structures, more accessible to researchers...
(2012). "Modelling the Effect of Genes on the Dynamics of Probabilistic Spiking Neural Networks for Computational Neurogenetic Modelling". Computational...
Global Information