DocumentCode
1550875
Title
Biomolecular computing and programming
Author
Garzon, Max H. ; Deaton, Russell J.
Author_Institution
Molecular Comput. Group, Memphis State Univ., TN, USA
Volume
3
Issue
3
fYear
1999
fDate
9/1/1999 12:00:00 AM
Firstpage
236
Lastpage
250
Abstract
Molecular computing is a discipline that aims at harnessing individual molecules at nanoscales for computational purposes. The best-studied molecules for this purpose to date have been DNA and bacteriorhodopsin. Biomolecular computing allows one to realistically entertain, for the first time in history, the possibility of exploiting the massive parallelism at nanoscales inherent in natural phenomena to solve computational problems. The implementation of evolutionary algorithms in biomolecules would bring full circle the biological analogy and present an attractive alternative to meet large demands for computational power. The paper presents a review of the most important advances in biomolecular computing in the last few years. Major achievements to date are outlined, both experimental and theoretical, and major potential advances and challenges for practitioners in the foreseeable future are identified. A list of sources and major events in the field has been compiled in the Appendix, although no exhaustive survey of the expanding literature is intended
Keywords
biocomputing; evolutionary computation; DNA; bacteriorhodopsin; biomolecular computing; biomolecular programming; evolutionary algorithms; massive parallelism; nanoscales; Biology computing; Concurrent computing; DNA computing; Evolutionary computation; Hardware; Humans; Molecular biophysics; Molecular computing; Nanobioscience; Parallel processing;
fLanguage
English
Journal_Title
Evolutionary Computation, IEEE Transactions on
Publisher
ieee
ISSN
1089-778X
Type
jour
DOI
10.1109/4235.788493
Filename
788493
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