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      A Comprehensive Survey of Recent Advancements in Molecular Communication

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          Computational systems biology.

          To understand complex biological systems requires the integration of experimental and computational research -- in other words a systems biology approach. Computational biology, through pragmatic modelling and theoretical exploration, provides a powerful foundation from which to address critical scientific questions head-on. The reviews in this Insight cover many different aspects of this energetic field, although all, in one way or another, illuminate the functioning of modular circuits, including their robustness, design and manipulation. Computational systems biology addresses questions fundamental to our understanding of life, yet progress here will lead to practical innovations in medicine, drug discovery and engineering.
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            A Guide To First-Passage Processes

             Sidney Redner (2001)
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              A logic-gated nanorobot for targeted transport of molecular payloads.

              We describe an autonomous DNA nanorobot capable of transporting molecular payloads to cells, sensing cell surface inputs for conditional, triggered activation, and reconfiguring its structure for payload delivery. The device can be loaded with a variety of materials in a highly organized fashion and is controlled by an aptamer-encoded logic gate, enabling it to respond to a wide array of cues. We implemented several different logical AND gates and demonstrate their efficacy in selective regulation of nanorobot function. As a proof of principle, nanorobots loaded with combinations of antibody fragments were used in two different types of cell-signaling stimulation in tissue culture. Our prototype could inspire new designs with different selectivities and biologically active payloads for cell-targeting tasks.
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                Author and article information

                Journal
                IEEE Communications Surveys & Tutorials
                IEEE Commun. Surv. Tutorials
                Institute of Electrical and Electronics Engineers (IEEE)
                1553-877X
                23 2016
                23 2016
                : 18
                : 3
                : 1887-1919
                Article
                10.1109/COMST.2016.2527741
                © 2016

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