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University of Cambridge > Talks.cam > Churchill CompSci Talks > Molecular programming – moving from electronic computation to molecular systems
Molecular programming – moving from electronic computation to molecular systemsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Matthew Ireland. Many of us, as computer scientists, are accustomed to computational systems that are of electronic nature. In my talk, I will present other computational systems, based on biology and biochemistry. A seminal paper in this field by Adleman shows a way of using molecular computation to solve a combinatorial problem by encoding a graph in DNA molecules. Păun introduced a new computational model, called P systems, which uses biological processes as inspiration for performing calculations. The former uses biological structures as hardware and was devised to perform a specific computation – solving the Hamiltonian path problem – while the latter was modelled to provide an alternative to current computational models – it is not intended to be implemented using biological structures, it rather uses them as an inspiration. I shall describe the two in more detail and talk about the computational power of P systems, while comparing it to that of other computational models that are in wider use. This talk is part of the Churchill CompSci Talks series. This talk is included in these lists:Note that ex-directory lists are not shown. |
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