An approach for using modified nucleotides in aqueous DNA computing

Angela M. Pagano, Susannah Gal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The concept of aqueous computing involves the use of large numbers of initially identical molecules to serve as memory registers in a fluid environment. Here, we consider a new approach to aqueous computing where modified nucleotides are used to 'write' on double-stranded DNA molecules to establish the logical values of true or false for a set of clauses. We introduce an implementation scenario where binding proteins specific to each modification can be used to selectively isolate DNA fragments with these modified nucleotides. In addition, we present initial results showing successful incorporation and detection of modifications as well as separation of modified molecules using binding proteins. As there are millions of molecules with corresponding binding proteins, this approach has the potential to yield unlimited computing power as compared with other aqueous computing methods.

Original languageEnglish (US)
Title of host publicationDNA Computing - 13th International Meeting on DNA Computing, DNA13, Revised Selected Papers
Pages161-169
Number of pages9
DOIs
StatePublished - Aug 27 2008
Event13th International Meeting on DNA Computing, DNA13 - Memphis, TN, United States
Duration: Jun 4 2007Jun 8 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4848 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Meeting on DNA Computing, DNA13
CountryUnited States
CityMemphis, TN
Period6/4/076/8/07

Fingerprint

DNA Computing
Nucleotides
DNA
Molecules
Protein
Computing
Computing Methods
Fragment
Data storage equipment
Fluid
Scenarios
Fluids
Carrier Proteins

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Pagano, A. M., & Gal, S. (2008). An approach for using modified nucleotides in aqueous DNA computing. In DNA Computing - 13th International Meeting on DNA Computing, DNA13, Revised Selected Papers (pp. 161-169). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4848 LNCS). https://doi.org/10.1007/978-3-540-77962-9_17
Pagano, Angela M. ; Gal, Susannah. / An approach for using modified nucleotides in aqueous DNA computing. DNA Computing - 13th International Meeting on DNA Computing, DNA13, Revised Selected Papers. 2008. pp. 161-169 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Pagano, AM & Gal, S 2008, An approach for using modified nucleotides in aqueous DNA computing. in DNA Computing - 13th International Meeting on DNA Computing, DNA13, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4848 LNCS, pp. 161-169, 13th International Meeting on DNA Computing, DNA13, Memphis, TN, United States, 6/4/07. https://doi.org/10.1007/978-3-540-77962-9_17

An approach for using modified nucleotides in aqueous DNA computing. / Pagano, Angela M.; Gal, Susannah.

DNA Computing - 13th International Meeting on DNA Computing, DNA13, Revised Selected Papers. 2008. p. 161-169 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4848 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Pagano AM, Gal S. An approach for using modified nucleotides in aqueous DNA computing. In DNA Computing - 13th International Meeting on DNA Computing, DNA13, Revised Selected Papers. 2008. p. 161-169. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-77962-9_17