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We illustrate this approach by modeling aspects of three biological systems: development of the mammalian pancreas; the differentiation of T cells in the thymus; and the dynamic architecture of a lymph node.
When applied to biological systems, development models need to show how cell differentiation occurs where a single cell will eventually produce multiple cells that differ in its functionality after self-reproduction.
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For genitors, the potential benefits are particularly attractive because of the ways our formulation bears on the entire agenda and discourse of biological systems, including development, behavior and evolution, and because we believe it will make it possible to clearly formulate a broad variety of results, hypotheses and research questions.
Since POPC is among the primary constituents of cellular membranes, this work is of direct applicability to modelling of biological systems and development of nano-containers with higher biologic compatibility for pharmaceutical and medical applications.
In this review, we will introduce our concepts of the molecular design with several successful examples as well as their applications for controlling chemical events, and also glance at a semi-biological molecular machine controllable by light, which reveals a potential of biological systems for development of elaborate molecular devices.
Understanding the activity and function of immune cells and, more broadly, dissecting the complexity of biological systems, necessitates development of in vivo imaging technologies that are robust and quantitative.
Apoptosis is an essential biological system for development, differentiation, and homeostasis [ 3].
Due to their informative role in biological systems, the potential development of oligosaccharide utilization is very important.
This novel system for measuring biopotentials can be used for polysomnography, infusion, microdialysis, and optogenetic studies, reduces artifacts, and allows for a more natural moving environment and a more accurate investigation of biological systems and pharmaceutical development.
The multiscale nature of progressively adapting biological systems complicates the development of predictive computational models.
Chemical gradients are common in biological systems, especially during development (Wolpert, 2011), and structural randomness and local heterogeneity are ubiquitous.
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CEO of Professional Science Editing for Scientists @ prosciediting.com