biologicalcomputers-111205200850-phpapp01

8/11/2019 biologicalcomputers-111205200850-phpapp01

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Msj


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Advantages Performs millions of operations at same time

Good for parallel computing

Ability to use large amounts of working memory 1 gram of DNA can hold 1 x 1014MB of data

Or 145 trillion CDs

1 CD is 800 MB


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Advantages Cheaper

Lightweight

1 lb of DNA has more computing power than allcomputers ever made

Low power used to keep in original state

Has ability to solve hardest problems in a matter of

weeks


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Advantages Environmentally friendly

Clean, readily available materials


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Ethics Terrorism and Government Control

Ability to release a virus to computers inside bodies

If nanobots fail inside of body, it could destroy a personsorgans that rely upon the bot

Overpopulation

With this technology people will live longer creating a

higher demand on resources


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Ethics Creation of superior race (cyborg)

Ability to use biocomputers to enhance certain abilities

Intelligence

Physical abilities

Age

These people will outperform the have nots who cannotpurchase the technology

Can be used like steroids but without the side effects


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Ethics Computers taking over

Biocomputers will eventually have the capability to solveproblems on their own without human intervention

This could mean a takeover by a Terminator typecreation

Would you put your life in the hands of a computer?

Computers today are not trustworthy at all times Doctor malpractice


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Disadvantages Molecular operations are not perfect

DNA computing involves a relatively large amount of

error As size of problem grows, probability of receiving

incorrect answer eventually becomes greater thanprobability of receiving correct answer.

Sometimes there are errors in the pairing of DNAstrands

Simple problems solved faster on electronic computers


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Disadvantages Human assistance is required

Time consuming lab procedures

No universal method of data representation

DNA has a half-life Solutions could dissolve away before end result is found

Information can be untransmittable

Current DNA algorithms compute successfully w/opassing any information from one processor to the nextin a multiprocessor connection bus.


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Medical Applications In 2004, a group in Israel claimed to have created a

DNA automaton that can diagnose symptoms ofcancer and administer a therapy

In prostate cancer, and some others, diagnosis is based onmolecular signatures

It senses messenger RNA and can detect theabnormal mRNAs produced by genes involved incertain types of lung and prostate cancer.

An anticancer drug is released if an abnormal mRNAis found It is also made of DNA Tumor related gene suppressed


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Medical Applications DNA computers known as computational genes

would be integrated into the genetic materialalready in the patients cells

Computational genes are similar to ordinary geneDNA markers They will be programmed to react to a certain input with

a certain output Replacement of coding for protein structure.

Designed a computational DNA molecule thatwould answer 5 yes or no questions

Questions used to establish the typical markers ofwhether or not prostate cancer was present


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Medical Applications If 5 yes answers were received, then there would be a

release of the drug. The researchers successfully applied this to a test system

that recreates the typical molecular signatures ofprostate cancer in vitro similar treatment on a test tube model of small cell lung

cancer.

This is what researchers hope is the beginning of thefuture for smart drugs Roam the body by fixing disease on the spot It would sense a change in the environment and respond by

releasing biological molecules


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Medical ApplicationsWest Nile

Could be used to distinguish between the various viralstrains

Diabetes

Could monitor blood sugar levels and dispense insulin

when needed.


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Medical Applications May be several decades before such a system is

operating inside the human body will become a reality

Process of introducing genetic material into a personwould need to be considered carefully. Bodies reaction may not be easily predicted


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Computational Gene Challenges Delivery of the DNA into cells and incorporation into

the patients' own DNA.

Keeping them from being treated by the immunesystem as foreign invaders.


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Artificial Intelligence


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Conclusion

Date post:	03-Jun-2018
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