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Most of the biological systems including gene regulatory networks can be described well by ordinary differential equation models with rational non-linearities. These models are derived either based on the reaction kinetics or by curve fitting to experimental data. This study demonstrates the applicability of the root-locus-based bifurcation analysis method for studying the complex dynamics of such models. The effectiveness of the bifurcation analysis in determining the exact parameter regions in each of which the system shows a certain dynamical behaviour, such as bistability, oscillation, and asymptotically equilibrium dynamics is shown by considering two mostly studied gene regulatory networks, namely Gardner's genetic toggle switch and p53 gene network possessing two-phase (mono-stable/oscillation) dynamics.
This article was published in the following journal.
Name: IET systems biology
This study develops an integrated model of the p53-Mdm2 interaction composed of five basic components and time delay in the DNA damage response based on the existing research work. Some critical facto...
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Comparison of healing responses after treatment of complex bifurcation lesions with a dedicated bifurcation device (Axxess™ Biolimus Eluting Coronary Bifurcation Stent System + Absorb BV...
OBJECTIVE: To evaluate the efficacy of vibro-oscillatory therapy through an electromedical equipment in improving body contour and appearance of cellulite. SUBJECTS AND METHODS: A prospec...
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New markers of viral activity are now under investigation. Aim of the study is to investigate the efficacy of new antiretroviral drugs by monitoring HIV-DNA dynamics in HIV-positive popula...
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Comprehensive, methodical analysis of complex biological systems by monitoring responses to perturbations of biological processes. Large scale, computerized collection and analysis of the data are used to develop and test models of biological systems.
A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.
Measurement of cells' substrate utilization and biosynthetic output for modeling of METABOLIC NETWORKS.
A system of safety management (abbreviated HACCP) applied mainly to the food industry. It involves the analysis and control of biological, chemical, and physical hazards, from raw material production, procurement and handling, to manufacturing, distribution and consumption of finished products.
The study of systems which respond disproportionately (nonlinearly) to initial conditions or perturbing stimuli. Nonlinear systems may exhibit "chaos" which is classically characterized as sensitive dependence on initial conditions. Chaotic systems, while distinguished from more ordered periodic systems, are not random. When their behavior over time is appropriately displayed (in "phase space"), constraints are evident which are described by "strange attractors". Phase space representations of chaotic systems, or strange attractors, usually reveal fractal (FRACTALS) self-similarity across time scales. Natural, including biological, systems often display nonlinear dynamics and chaos.
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Bioinformatics is the application of computer software and hardware to the management of biological data to create useful information. Computers are used to gather, store, analyze and integrate biological and genetic information which can then be applied...