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These soft devices have the appeal of being matched mechanically to biological systems, built largely from biocompatible materials (hydrogels), operate in an aqueous and ionic environment, and in the case of the memristors, use hysteretic memory; the brain also uses hysteretic memory and memristors are proposed to replicate their behavior.
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Systems built around self-propelled biological molecular motors and cytoskeletal filaments hold significant promise in these regards as they are built from nanoscale components that enable nanoseparation independent of fluidic pumping.
Most mathematical models of biological systems are not built because the problem is easy or solvable; often crucial information is missing.
To answer a question if simple biological systems can be built from standard, interchangeable parts and operated in living cells, synthetic biology is now expanding and affecting the educational sceneries.
Augmented reality can facilitate the learning process of the biological systems because it builds on exploratory learning.
Because by definition models are functional representations and simplifications of complex biological systems, they should be built with the target audience in mind, beginning with a clear objective, or purpose (Ralls and Starfield, 1995; Starfield et al., 1995).
This work demonstrates the feasibility of using synthetic biology tools to re-build biological systems for engineering purpose.
Synthetic biology uses the engineering paradigm of system design to build biological systems with novel functionalities that often do not exist in nature.
A main aim of synthetic biology is to design and build biological systems to perform desired functions in a predictable manner.
The experimental results obtained in these two biological systems were used to build their metabolic networks by assembling the list of reactions.
In biological systems, molecular structures are being built, but it is still hard to know the exact values of kinetic parameters in vivo.
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