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International Journ Internat ISSN No: 245 @ IJTSRD | Available Online @ www Matthew N. O. S 1 Roy G. Perry College of Eng 2 Lone S ABSTRACT Biocomputing is an interdisciplinary which combines biology, computer engineering. It is the process of buildi that use biological materials. It use biologically derived molecules, such as DNA, to perform computational calcu paper provides a brief introduction to bio Keyword: biocomputing, molecular com computing INTRODUCTION Biocomputing, known also as molecular DNA computing, is a fascinating devel interface of computer science and mole It is the application of information te computer science to biological problems Biocomputing is the use of computers w like living organisms or contai components. Biocomputers use biologically derived molecules such deoxyribonucleic acid) and proteins computation. They are computers mad genes, and cells; they can perform operations. Proteins are the fundame blocks of life. Cells are made up of pro is understood as a computational system resides in DNA. Biological computing can provide a hu for handling problems in the real computers have the capability of high computing [1]. The biological compute used for medical applications. Scienti able to create genetic biocircuits that ca basic Boolean logic gates: AND, OR, NOR, XOR, and XNOR. The fun nal of Trend in Scientific Research and De tional Open Access Journal | www.ijtsr 56 - 6470 | Volume - 2 | Issue – 6 | Sep w.ijtsrd.com | Volume – 2 | Issue – 6 | Sep-Oct Biocomputing Sadiku 1 , Nana K. Ampah 2 , Sarhan M. Mus 1 Professor, 2 Adjunct Faculty gineering, Prairie View A&M University, Prairie Star College Kingwood, Houston, Texas research area science, and ing computers es systems of s proteins and ulations. This ocomputing. mputing, DNA r computing or lopment at the ecular biology. echnology and s. which function in biological systems of as DNA (or s to perform de of proteins, mathematical ental building oteins. The cell m; its program uge parallelism world. DNA h performance ers are mostly ists have been an perform all NOT, NAND, nctional block diagram of the biocomputin Figure 1 [2]. BENEFITS AND CHALLEN We use biocomputer for it effective, little waste, high art self-recovery, and massive me can perform massively parall highly energy efficient syste can open up a whole different Currently, a biocomputer requ output. For this reason, bio match their digital counterpa However, significant advanc to be made in the coming yea have impact on biocomputing. being replaced by biological m far future. The challenge for biologists n codification of the complex d in order to achieve a better un genes shape and how our Scientists that are involved in take care of legal, moral, and e CONCLUSION While we live in the age of co is slowly gaining importan biocomputing has eme interdisciplinary efforts of eng engineers and scientists do res the new discoveries will rev field. Thus, the future for bi will lay the foundations for a [5]. Additional information a be obtained in [6]. evelopment (IJTSRD) rd.com p – Oct 2018 2018 Page: 1250 sa 1 e View, Texas ng system is shown in NGES ts multi-processor, cost tificial intelligence (AI), emory. DNA Computers lel computation and are ems [3]. Biocomputing realm of computing. uires hours to return an ocomputers may never arts in terms of speed. ces in biology are likely ars and the advances will . The possibility of CPU molecules remains in the nowadays lies in the de- data they have to handle nderstanding of how our genome evolved [4]. n the biocomputing must ethical regulations. omputers, biocomputing ce. The new field of erged through the gineers and scientists. As search on biocomputing, volutionize the medical iocomputing is bright. It a new era of computing about biocomputing can

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International Journal of Trend in

International Open Access Journal

ISSN No: 2456

@ IJTSRD | Available Online @ www.ijtsrd.com

Matthew N. O. Sadiku

1Roy G. Perry College of Engineering, Prairie View A&M University, Prairie View, Texas2Lone Star College

ABSTRACT Biocomputing is an interdisciplinary research area which combines biology, computer science, and engineering. It is the process of building computers that use biological materials. It uses systems of biologically derived molecules, such as DNA, to perform computational calculations. This paper provides a brief introduction to biocomputing. Keyword: biocomputing, molecular computing, DNA computing INTRODUCTION Biocomputing, known also as molecular computing or DNA computing, is a fascinating development at the interface of computer science and molecular biology. It is the application of information technology and computer science to biological problems. Biocomputing is the use of computers which function like living organisms or contain biological components. Biocomputers use systems of biologically derived molecules such as deoxyribonucleic acid) and proteins computation. They are computers made of proteins, genes, and cells; they can perform mathematical operations. Proteins are the fundamental building blocks of life. Cells are made up of proteins. The cell is understood as a computational system; its program resides in DNA. Biological computing can provide a huge parallelism for handling problems in the real world. DNA computers have the capability of high performance computing [1]. The biological computers are mostly used for medical applications. Scientists have been able to create genetic biocircuits that can perform all basic Boolean logic gates: AND, OR, NOT, NAND, NOR, XOR, and XNOR. The functional block

International Journal of Trend in Scientific Research and Development (IJTSRD)

International Open Access Journal | www.ijtsrd.com

ISSN No: 2456 - 6470 | Volume - 2 | Issue – 6 | Sep

www.ijtsrd.com | Volume – 2 | Issue – 6 | Sep-Oct 2018

Biocomputing

Matthew N. O. Sadiku1, Nana K. Ampah2, Sarhan M. Musa1Professor, 2Adjunct Faculty

Roy G. Perry College of Engineering, Prairie View A&M University, Prairie View, TexasLone Star College Kingwood, Houston, Texas

Biocomputing is an interdisciplinary research area which combines biology, computer science, and engineering. It is the process of building computers that use biological materials. It uses systems of biologically derived molecules, such as proteins and DNA, to perform computational calculations. This paper provides a brief introduction to biocomputing.

biocomputing, molecular computing, DNA

Biocomputing, known also as molecular computing or is a fascinating development at the

interface of computer science and molecular biology. It is the application of information technology and computer science to biological problems.

Biocomputing is the use of computers which function like living organisms or contain biological

use systems of biologically derived molecules such as DNA (or

proteins to perform uters made of proteins,

genes, and cells; they can perform mathematical Proteins are the fundamental building

blocks of life. Cells are made up of proteins. The cell is understood as a computational system; its program

al computing can provide a huge parallelism for handling problems in the real world. DNA computers have the capability of high performance computing [1]. The biological computers are mostly used for medical applications. Scientists have been

e genetic biocircuits that can perform all basic Boolean logic gates: AND, OR, NOT, NAND, NOR, XOR, and XNOR. The functional block

diagram of the biocomputing system is shown in Figure 1 [2]. BENEFITS AND CHALLENGESWe use biocomputer for its multieffective, little waste, high artificial intelligence (AI), self-recovery, and massive memory. DNA Computers can perform massively parallel computation and are highly energy efficient systems [3]. Biocomputing can open up a whole different r Currently, a biocomputer requires hours to return an output. For this reason, biocomputers may never match their digital counterparts in terms of speed. However, significant advances in biology are likely to be made in the coming yearshave impact on biocomputing. The possibility of CPU being replaced by biological molecules remains in the far future. The challenge for biologists nowadays lies in the decodification of the complex data they have to handle in order to achieve a better understanding of how our genes shape and how our genome evolved [4]. Scientists that are involved in the biocomputing must take care of legal, moral, and ethical regulations. CONCLUSION While we live in the age of computers, biocomputis slowly gaining importance. The new field of biocomputing has emerged through the interdisciplinary efforts of engineers and scientists. As engineers and scientists do research on biocomputing, the new discoveries will revolutionize the medical field. Thus, the future for biocomputing is bright. It will lay the foundations for a new era of computing [5]. Additional information about biocomputing can be obtained in [6].

Research and Development (IJTSRD)

www.ijtsrd.com

6 | Sep – Oct 2018

Oct 2018 Page: 1250

Sarhan M. Musa1

Roy G. Perry College of Engineering, Prairie View A&M University, Prairie View, Texas

diagram of the biocomputing system is shown in

BENEFITS AND CHALLENGES We use biocomputer for its multi-processor, cost effective, little waste, high artificial intelligence (AI),

recovery, and massive memory. DNA Computers can perform massively parallel computation and are highly energy efficient systems [3]. Biocomputing can open up a whole different realm of computing.

Currently, a biocomputer requires hours to return an output. For this reason, biocomputers may never match their digital counterparts in terms of speed. However, significant advances in biology are likely to be made in the coming years and the advances will have impact on biocomputing. The possibility of CPU being replaced by biological molecules remains in the

The challenge for biologists nowadays lies in the de-codification of the complex data they have to handle

to achieve a better understanding of how our genes shape and how our genome evolved [4]. Scientists that are involved in the biocomputing must take care of legal, moral, and ethical regulations.

While we live in the age of computers, biocomputing is slowly gaining importance. The new field of biocomputing has emerged through the interdisciplinary efforts of engineers and scientists. As engineers and scientists do research on biocomputing, the new discoveries will revolutionize the medical

. Thus, the future for biocomputing is bright. It will lay the foundations for a new era of computing [5]. Additional information about biocomputing can

International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456

@ IJTSRD | Available Online @ www.ijtsrd.com

REFERENCES 1. M. Guo, M. Ho, and W. L. Chang, “Fast parallel

molecular solution to the dominatingon massively parallel bio-computing,” Computing, vol. 30, 2004, pp. 1109-

2. V. H. Kumar and P. S. Ramaiah, “Configuration of FPGA for computerized sprocessing for bio-computing systems,” International Journal of Computer Science Issuesvol. 8, issue 5, no 3, September 2011, pp. 246255.

3. M. S. Ahuja and S. Sharma, “Biological computing: A new paradigm in computing,” Proceedings of the 3rd Conference on Recent Innovations in Science, Technology, Management

Figure1. Functional block diagram of bio

International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456

www.ijtsrd.com | Volume – 2 | Issue – 6 | Sep-Oct 2018

M. Guo, M. Ho, and W. L. Chang, “Fast parallel molecular solution to the dominating-set problem

computing,” Parallel -1125.

V. H. Kumar and P. S. Ramaiah, “Configuration of FPGA for computerized speech/sound

computing systems,” International Journal of Computer Science Issues, vol. 8, issue 5, no 3, September 2011, pp. 246-

M. S. Ahuja and S. Sharma, “Biological computing: A new paradigm in computing,”

Conference on Recent Innovations in Science, Technology, Management

and Environment, New Delhi, India, December 2016, pp. 162-166.

4. D. Herath, C. Lakmali, and R. Ragel, “Accelerating string matching for bioapplications on multi-core CPUs,” the IEEE 7th International Conference on Industrial and Information Systems2012

5. S. L. Garfinke, “Biological computing,” Technology Review, May/June 2000, pp. 71

6. A. J. Ijspeert, M. Murata, and N. Wakamiya (eds.), Biologically Inspired Approaches to Advanced Information TechnologyGermany: Springer, 2004.

Functional block diagram of bio-computing [2]

International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

Oct 2018 Page: 1251

, New Delhi, India, December

D. Herath, C. Lakmali, and R. Ragel, “Accelerating string matching for bio-computing

core CPUs,” Proceedings of the IEEE 7th International Conference on Industrial and Information Systems, September

Garfinke, “Biological computing,” May/June 2000, pp. 71-77.

A. J. Ijspeert, M. Murata, and N. Wakamiya Inspired Approaches to

Advanced Information Technology. Berlin,