SEMINAR
ON
BIOMOLECULAR COMPUTING
       Presentation Outline
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q Basic concepts of Bio-molecules
q Origin of Biomolecular Computing
q Solution for NP-Complete Problems
q Advantages of DNA Computing
q Problems with Adleman’s Experiment
q DNA Computers
q Current research
q Conclusion
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              What is DNA?
§ DNA stands for Deoxyribonucleic Acid
§ DNA represents the genetic blueprint of
   living creatures
§ DNA contains “instructions” for assembling
   cells
§ Every cell in human body has a complete
   set of DNA
§ DNA is unique for each individual
Double Helix shape of DNA
        
        § The two strands of a DNA
            molecule are anti parallel
            where each strand runs in an
            opposite direction.
        § Complementary base pairs
            Adenine & Thymine
            Guanine & Cytosine
        § Two strands are held together
            by weak hydrogen bonds
            between the complementary
            base pairs
        
        
              Instructions in DNA
                      Sequence to indicate the
                       start of an instruction
                                                           ………
        Instruction that triggers
        Hormone injection           Instruction for hair cells
§ Instructions are coded in a sequence of the DNA
    bases
§ A segment of DNA is exposed, transcribed and
    translated to carry out instructions
DNA Duplication
                   Basics and
             Origin of DNA Computing
l DNA computing is utilizing the property of DNA for
     massively parallel computation.
l
l With an appropriate setup and enough DNA, one can
     potentially solve huge problems by parallel search.
l
l Utilizing DNA for this type of computation can be much
     faster than utilizing a conventional computer
l Leonard Adleman proposed that the makeup of DNA and
    its multitude of possible combining nucleotides could
    have application in computational research techniques
       Dense Information Storage
ü This image shows 1
    gram of DNA on a CD.
    The CD can hold 800
    MB of data.
ü
ü The 1 gram of DNA can
    hold about 1x1014 MB
    of data.
ü 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.
ü
    How Dense is the Information Storage?
§ Check this out………..
           1 gram = 4x10 21
     How enormous is the parallelism?
§ 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 !
§ Check this out……. We Typically use
                    3 x1014
         Steps for Adleman’s Experiment
§ Strands of DNA represent the seven cities. In genes,
     genetic coding is represented by the letters A, T, C
     and G. Some sequence of these four letters
     represented each city and possible flight path.
§ These molecules are then mixed in a test tube, with
     some of these DNA strands sticking together. A chain
     of these strands represents a possible answer.
§ Within a few seconds, all of the possible combinations of
     DNA strands, which represent answers, are created in
     the test tube.
§
  Adleman’s Experiment
§ Hamilton Path Problem
    (also known as the travelling salesperson problem)
                               DEL
                                HI
                             KOLL                  BOM
 TVM                                               BAY
                              AM
                                                  CHE
                                                  NNAI
                                 BGL
                                  RE
 Is there any Hamiltonian path from KOLLAM to DELHI?
§Subsequently logic gates can be employed using
DNA.
§Logic gates made up of DNA, instead of using
electrical signals to perform logical functions, rely on
DNA code.
§They detect fragments of genetic material as input,
splice together these fragments and form a single
output.
§The researchers believe that these logic gates might
be combined with DNA microchips to create a
breakthrough in DNA computing.
§
 Operations
lMelting
   breaking the weak hydrogen bonds in a
   double helix to form two DNA strands which
   are complement to each other
lAnnealing
   reconnecting the hydrogen bonds between
   complementary DNA strands
  Operations (Cont’d)
§ Merging
   mixing two test tubes with many DNA
   molecules
§ Amplification
   DNA replication to make many copies of the
   original DNA molecules
§ Selection
   elimination of errors (e.g. mutations) and
   selection of correct DNA molecules
    Advantages of a DNA Computer
lParallel Computing   lMillions of
l                       operations
lIncredibly light       simultaneously
   weight             
l                     lGenerate potential
lLow power              solutions
                      
lSolves Complex       lEfficiently handle
  Problems quickly       massive amounts
                         of working
l                        memory
                      l
Current Research
                       EDNA
l EDNA is object oriented and extensible, so that it can
    easily evolve as the field progresses.
l
l EDNA is therefore a research tool that makes it possible
    to use the advantages of conventional computing to
    make DNA computing reliable.
l
l EDNA includes graphical interfaces and click-and-drag
    facilities to enable easy use.
          DNA Authentication
lTaiwan introduced the world's first DNA
   authentication chip.
lUse of DNA chips on national identification
   cards in order to crack down on frauds using
   fake ID cards.
lThe synthesized DNA inside the chip generates
   DNA signals which only the company's
   readers can detect and authenticate in two
   seconds.
l
l
l
DNA Chip
    What developments can we
            expect?
§ Increased use of molecules other than DNA
§ Some impact on molecular biology by DNA
    computation
§ Increased error avoidance and detection
§ Cross-fertilization among DNA computing,
    molecular biology, and computation biology
§ Niche uses of DNA computers for problems
    that are difficult for electronic computers
§
§
               THANK YOU!!!
   It will take years to develop a practical,
    workable DNA computer.
   But…Let’s all hope that this DREAM comes
    true!!!
                    Done By…
http://engineering-seminar-topics.blogspot.com/
THANKS To…
         lMr. Peter Pradeep (HOD)
                                l
                                l
        lMrs. Sarika G (Sem.Guide)
                                l
                                l
        l Kasturi E.S(Sem. Co.ord.)
                                l
                                l