Paper Presentation & Seminar On "DNA Computing"

DNA computing is fundamentally similar to parallel computing in that it takes advantage of the many different molecules of DNA to try many different possibilities at once.



DNA computing also offers much lower power consumption than traditional silicon computers. DNA uses adenosine triphosphate (ATP) as fuel to allow ligation or as a means to heat the strand to cause disassociation.[9] Both strand hybridization and the hydrolysis of the DNA backbone can occur spontaneously, powered by the potential energy stored in DNA. Consumption of two ATP molecules releases 1.5 x 10−19 J. Even with a large number of transitions per second using two ATP molecules, power output is still low. For instance, Kahan reports 109 transitions per second with an energy consumption of 10−10 W,[10] and similarly Shapiro reports a system producing 7.5 x 1011 outputs in 4000 sec resulting in an energy consumption rate of ~ 10−10 W.

For certain specialized problems, DNA computers are faster and smaller than any other computer built so far. Furthermore, particular mathematical computations have been demonstrated to work on a DNA computer. As an example, Aran Nayeb has provided a general implementation of Strassen's matrix multiplication algorithm on a DNA computer, although there are problems with scaling.

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