New DNA Computer

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    I believe things like DNA computing will eventually lead

    the way to a molecular revolution, which ultimately will

    have a very dramatic effect on the world.

    L. Adleman

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    What is DNA Computer??y A nanocomputerthat uses DNA (deoxyribonucleic acids) to store

    information and perform complex calculations.

    y This field seeks to use biological molecules such as DNA and

    RNA to solve basic mathematical problems.

    y The DNA sequences were set to replicate and create trillions of

    new sequences based on the initial input sequences in a matter of

    seconds (called DNA hybridization).

    y The theory holds that the solution to the problem was one of the

    new sequence strands. By process of elimination, the correct

    solution would be obtained. 2

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    History of DNA Computer

    y In 1994, University of Southern California computer scientist

    Leonard Adelman suggested that DNA could be used to solve

    complex mathematical problems.

    y Adelman found a way to harness the power of DNA to solve

    the Hamiltonian path problem (the traveling salesman

    problem), whose solution required finding a path from start to

    end going through all the points (cities) only once.

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    Uniqueness of DNA

    Why is DNA a Unique Computational Element???

    y Extremely dense information storage.

    y Enormous parallelism.

    y Extraordinary energy efficiency.

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    Dense Information Storage

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    This image shows 1 gram of

    DNA on a CD. The CD can hold

    800 MB of data.

    The 1 gram of DNA can hold

    about 1x1014 MB of data.

    The number of CDs required to

    hold this amount of information,

    lined up edge to edge, wouldcircle the Earth 375 times, and

    would take 163,000 centuries to

    listen to.

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    How Dense is the Information Storage??

    y with bases spaced at 0.35 nm along DNA, data

    density is over a million Gbits/inch compared to 7

    Gbits/inch in typical high performance HDD.

    y Check this out..

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    How enormous is the parallelism?

    y A test tube of DNA can contain trillions of strands.

    Each operation on a test tube of DNA is carried out

    on all strands in the tube in parallel !

    y Check this out.We Typically use

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    How extraordinary is the energy efficiency?

    y Adleman figured his computer was running

    2 x 1019

    operations per joule.

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    Silicon chips Vs DNA Computers

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    HOW DNA Computer WORKS??

    y The working of DNA Computers can be explained by aHamiltonian path problem, a very complex problem

    because with each variable added the computational

    complexity increases several times.

    y From the above experiment one can deduce that DNA can be

    used to solve complex mathematical problems.

    y In the experiment the problem was coded into the DNA

    structure and hence it can be treated as software.y The enzymes and chemicals which operated on this DNA

    structure during reaction to modify it for obtaining possible

    answers can be viewed as hardware.

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    Advantages of DNA Computers

    y Cheap, clean, readily available materials.

    y Amazing ability to store information.

    yThe DNA chip manufacture does not produce toxic by-products.

    y DNA computers will be much smaller in size than silicon-based

    computers.

    y Perform millions of operations simultaneously.

    yGenerate a complete set of potential solutions.

    y Conduct large parallel searches.

    y Efficiently handle massive amounts of working memory.

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    Capabilities of a DNA Computer

    y With the use of DNA logic gates, a DNA computer the size of a teardrop will

    be more powerful than today's most powerful supercomputer.

    y DNA computers will be much smaller than silicon-based computers as one

    pound of DNA chips can hold all the information stored in all the computers in

    the world.

    y A DNA chip less than the size of a dime will have the capacity to perform 10

    trillion parallel calculations at one time as well as hold ten terabytes of data.

    yThe capacity to perform parallel calculations, much more trillions of parallelcalculations, is something silicon-based computers are not able to do.

    y A complex mathematical problem that could take silicon-based computers

    thousands of years to solve can be done by DNA computers in hours.

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    Disadvantages of DNA Computer

    y It requires human assistance.

    y Occasionally slower-Simple problems are solved much

    faster on electronic computers.

    y It can take longer to sort out the answer to a problem thanit took to solve the problem.

    y Reliability- There is sometime errors in the pairing of

    DNA strands.

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    THE FUTURE!

    Algorithm used by Adleman for the traveling salesman problem wassimple. As technology becomes more refined, more efficient algorithmsmay be discovered.

    DNA Manipulation technology has rapidly improved in recent years, and

    future advances may make DNA computers more efficient.

    The University of Wisconsin is experimenting with chip-based DNAcomputers.

    DNA computers are unlikely to feature word processing, emailing andsolitaire programs.

    Instead, their powerful computing power will be used for areas ofencryption, genetic programming, language systems, and algorithms or byairlines wanting to map more efficient routes. Hence better applicable in

    only some promising areas. 14

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    THANKYOU!

    It will take years to develop a practical, workable DNA

    computer.

    ButLets all hope that this DREAM comes true!!!

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    References

    y Molecular computation of solutions to combinatorialproblems- Leonard .M. Adleman

    y Introduction to computational molecular biology byjoao setubal and joao meidans -Sections 9.1 and 9.3

    y DNA computing, new computing paradigms byG.Paun, G.Rozenberg, A.Salomaa-chapter 2

    y Tech-FAQ, Retrieved January 2, 2012, from www.tech-faq.com/dna-computer.html

    y HowStuffWorks , Retrieved January 2, 2012, fromwww.computer.howstuffworks.com/dna-computer1.html

    yWikipedia, Retrieved January 2, 2012, fromwww.wikipedia.org

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