Biocomputing

1. International Journal of Trend in International Open Access Journal International Open Access Journal | www.ijtsrd.com International Journal of Trend in Scientific Research and Development (IJTSRD) Research and Development (IJTSRD) www.ijtsrd.com ISSN No: 2456 ISSN No: 2456 - 6470 | Volume - 2 | Issue – 6 | Sep 6 | Sep – Oct 2018 Biocomputing Matthew N. O. Sadiku Matthew N. O. Sadiku1, Nana K. Ampah2, Sarhan M. Musa 1Professor, 2Adjunct Faculty Roy G. Perry College of Engineering, Prairie View A&M University, Prairie View, Texas Lone Star College Kingwood, Houston, Texas Sarhan M. Musa1 1Roy G. Perry College of Engineering, Prairie View A&M University, Prairie View, Texas 2Lone Star College Roy G. Perry College of Engineering, Prairie View A&M University, Prairie View, Texas 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 components. Biocomputers 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 NOR, XOR, and XNOR. The functional block diagram of the biocomputing system is shown in Figure 1 [2]. BENEFITS AND CHALLENGES We use biocomputer for its multi effective, 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 years have 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 de codification 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, biocomput is slowly gaining importance. The new field of biocomputing has emerged 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]. 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. 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. biocomputing, molecular computing, DNA 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 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 or contain use use contain biological systems systems biological of of 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. 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 While we live in the age of computers, biocomputing is slowly gaining importance. The new field of biocomputing has emerged 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 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, through through the the @ IJTSRD | Available Online @ www.ijtsrd.com www.ijtsrd.com | Volume – 2 | Issue – 6 | Sep-Oct 2018 Oct 2018 Page: 1250

2. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 REFERENCES 1.M. Guo, M. Ho, and W. L. Chang, “Fast parallel molecular solution to the dominating on massively parallel bio-computing,” Computing, vol. 30, 2004, pp. 1109- 2.V. H. Kumar and P. S. Ramaiah, “Configuration of FPGA for computerized processing for bio-computing International Journal of Computer Science Issues vol. 8, issue 5, no 3, September 2011, pp. 246 255. 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 Innovations in Science, Technology, Management and Environment, New Delhi, India, December 2016, pp. 162-166. 4.D. Herath, C. Lakmali, “Accelerating string matching for bio applications on multi-core CPUs,” the IEEE 7th International Conference on Industrial and Information Systems 2012 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 Germany: Springer, 2004. , New Delhi, India, December M. Guo, M. Ho, and W. L. Chang, “Fast parallel molecular solution to the dominating-set problem D. “Accelerating string matching for bio-computing core CPUs,” Proceedings of the IEEE 7th International Conference on Industrial and Information Systems, September Herath, C. Lakmali, and and R. R. Ragel, Ragel, computing,” Parallel -1125. V. H. Kumar and P. S. Ramaiah, “Configuration of FPGA for computerized s speech/sound systems,” computing systems,” International Journal of Computer Science Issues, vol. 8, issue 5, no 3, September 2011, pp. 246- Garfinke, “Biological computing,” May/June 2000, pp. 71-77. A. J. Ijspeert, M. Murata, and N. Wakamiya Inspired Approaches to Advanced Information M. S. Ahuja and S. Sharma, “Biological computing: A new paradigm in computing,” Technology Technology. Berlin, Conference on Recent Figure1. Functional block diagram of bio Functional block diagram of bio-computing [2] @ IJTSRD | Available Online @ www.ijtsrd.com www.ijtsrd.com | Volume – 2 | Issue – 6 | Sep-Oct 2018 Oct 2018 Page: 1251