02-01-2011, 05:11 PM
An Overview of the Evolutionary Trends in Molecular Computing using DNA
The incipient paradigm of using the biochemical molecule of DNA to
solve computational problems is addressed by this article. In DNA computing, the strands of DNA are used to perform the computing operations. the instruction strands and the input data strands are the two types of strands that are present in the computer. The the input data strands are spliced by the instruction strands to produce the output. They can be classified as the true computers according to the the Turing machine concept, because he instruction strands are generic nucleotide codes for the various operations. the potential storage capacity of DNA is the greatest advantage that experts proclaim for this computer. The storage capacity of the DNA strands is far greter than the latest silicon technology. the difficulty of predicting circuit performance at the design stage is the most important challenge that the designers face . This means that significant experimental effort must be put in to verify the actual design. This disadvantage has been overcome by the evolutionary simulations which has been used to create new circuit components and optimize circuit performance of DNA computing devices.
Report:
[attachment=7879]
The incipient paradigm of using the biochemical molecule of DNA to
solve computational problems is addressed by this article. In DNA computing, the strands of DNA are used to perform the computing operations. the instruction strands and the input data strands are the two types of strands that are present in the computer. The the input data strands are spliced by the instruction strands to produce the output. They can be classified as the true computers according to the the Turing machine concept, because he instruction strands are generic nucleotide codes for the various operations. the potential storage capacity of DNA is the greatest advantage that experts proclaim for this computer. The storage capacity of the DNA strands is far greter than the latest silicon technology. the difficulty of predicting circuit performance at the design stage is the most important challenge that the designers face . This means that significant experimental effort must be put in to verify the actual design. This disadvantage has been overcome by the evolutionary simulations which has been used to create new circuit components and optimize circuit performance of DNA computing devices.
Report:
[attachment=7879]
