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Gaussian Network Modeling for Synthetic DNA

Elastic Network Modeling (ENM) has been used to determine the flexibility of proteins and other macromolecules, but little has been done to advance this technique to synthetic DNA. When working on the nanoscale where thermal fluctuations are much more prominent, a better method of predicting the flexibility must be used to create realistic models. ENM, specifically Gaussian Network Modeling (GNM), have thus been applied to studying the flexibility of synthetic DNA. We have accurately predicted the flexibility of these structures using GNM and have shown that it allows for much greater control of the design and thus functionality. We then propose a synthetic DNA surface in which nanoliter droplet transportation may be possible.


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