| 초록 |
DNA is a natural storage molecule of large-capacity and high-density, which stores the whole information of organism, and it can be manipulated parallel with various biochemical operations. Therefore, DNA has the potential to solve the computational problems. We solved an instance of the traveling salesman problem with new molecular algorithm in the previous research. The key of the algorithm was the expression of weight on sequences with melting temperature differences among DNA strands. We designed the DNA sequences that the more economic paths have lower melting temperatures. By varying the denaturation temperature with the progress of cycle, we can more amplify the more economic path against the paths which require higher cost. In this study, the effectiveness of DTG-PCR was shown by a series of experiments and simulation. Three DNA strands of different melting temperatures are designed as templates. They are co-amplified, and the relative amount of amplified product was compared with the simulated one. We can predict the amplification profile, the efficiency profile of each step, and the relative product amount. |
