|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Programming Cells: Computing with DNA
If you have a question about this talk, please contact Dr Jason Z JIANG.
The ability to reliably re-program cells has great potential for tackling societal challenges, in areas such as health, food and energy. DNA is the code that stores the information required to replicate life, and is read by cellular machinery. In addition to its role in the natural sense, it is also possible to use DNA as a substrate for computing, by taking advantage of its physical properties. Such DNA computing offers an exciting potential to perform complex calculations within the cellular environment, and interface to the natural machinery of the cell to perform conditional actions. In this talk, I’ll show how we have used DNA strand displacement to create complex dynamical behaviours. The network design benefits from the Visual DSD software, developed by ourselves, to build, analyse and test models of DNA strand displacement networks. We formally implement chemical reaction networks (CRNs), which are capable of a rich set of nonlinear dynamics. By combining DNA implementations of non-catalytic and autocatalytic reactions, we construct a circuit that implements the approximate majority algorithm, the fastest way for a population to reach a collective majority decision between two possible outcomes. The experimentally observed dynamics of the full circuit are well predicted by a model whose parameters are inferred from experimental measurements of the constituent reactions using Markov chain Monte Carlo parameter estimation.
This talk is part of the CUED Control Group Seminars series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsJohn Ray Society Leaders in biotech: making the plunge into bio-entrepreneurism and building a bio-business Centre for Industrial Sustainability Seminars
Other talksHealth Economics @ Cambridge seminar The 2016 Alzheimer's Disease Congress New insights into aneuploidy in mammalian oocytes Lunchtime Talk: Helen's Bedroom Non-melanoma skin cancer:- estimating the size of the elephant in the NHS room Why does ethics matter to big data?