Abstract
We present a computing model based on the technique of DNA strand displacement which performs a chain of logical resolutions with logical formulae in conjunctive normal form. The model is enzyme-free and autonomous. Each clause of a formula is encoded in a separate DNA molecule: propositions are encoded assigning a strand to each proposition p, and its complementary strand to the proposition ¬p; clauses are encoded comprising different propositions in the same strand. The model allows to run logic programs composed of Horn clauses by cascading resolution steps and, therefore, possibly function as an autonomous programmable nano-device. This technique can be also used to solve SAT. The resulting SAT algorithm has a linear time complexity in the number of resolution steps, whereas its spatial complexity is exponential in the number of variables of the formula.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Deans, T.L., Cantor, C.R., Collins, J.J.: A tunable genetic switch based on RNAi and repressor proteins for regulating gene expression in mammalian cells. Cell 130(2), 363–372 (2007)
Benenson, Y., Gil, B., Ben-Dor, U., Adar, R., Shapiro, E.: An autonomous molecular computer for logical control of gene expression. Nature 429, 423–429 (2004)
Basu, S., Gerchman, Y., Collins, C.H., Arnold, F.H., Weiss, R.: A synthetic multicellular system for programmed pattern formation. Nature 434(7037), 1130–1134 (2005)
Seelig, G., Soloveichik, D., Zhang, D.Y., Winfree, E.: Enzyme-free nucleic acid logic circuits. Science 314(5805), 1585–1588 (2006)
Frezza, B.M., Cockroft, S.L., Ghadiri, M.R.: Modular multi-level circuits from immobilized DNA-based logic gates. J. Am. Chem. Soc. 129(48), 14875–14879 (2007)
Takahashi, K., Yaegashi, S., Kameda, A., Hagiya, M.: Chain reaction systems based on loop dissociation of DNA. In: Carbone, A., Pierce, N.A. (eds.) DNA 2005. LNCS, vol. 3892, pp. 347–358. Springer, Heidelberg (2006)
Cardelli, L.: Strand Algebras for DNA Computing. In: Deaton, R., Suyama, A. (eds.) DNA 15. LNCS, vol. 5877, pp. 12–24. Springer, Heidelberg (2009)
Kobayashi, S.: Horn clause computation with DNA molecules. J. Comb. Optim. 3, 277–299 (1999)
Uejima, H., Hagiya, M., Kobayashi, S.: Horn clause computation by self-assembly of DNA molecules. In: Jonoska, N., Seeman, N.C. (eds.) DNA 2001. LNCS, vol. 2340, pp. 308–320. Springer, Heidelberg (2002)
Wasiewicz, P., Janczak, T., Mulawka, J.J., Plucienniczak, A.: The inference based on molecular computing. Cybernetics and Systems: An International Journal 31(3), 283–315 (2000)
Ran, T., Kaplan, S., Shapiro, E.: Molecular implementation of simple logic programs. Nature Nanotechnology 4(10), 642–648 (2009)
Benenson, Y., Paz-Elizur, T., Adar, R., Keinan, E., Livneh, Z., Shapiro, E.: Programmable and autonomous computing machine made of biomolecules. Nature 414(6862), 430–434 (2001)
Rodríguez-Patón, A., Larrea, J.M., Sainz de Murieta, I.: Inference with DNA molecules. In: Calude, C.S., Hagiya, M., Morita, K., Rozenberg, G., Timmis, J. (eds.) UC 2010. LNCS, vol. 6079, page 192. Springer, Heidelberg (2010)
Panyutin, I.G., Hsieh, P.: The kinetics of spontaneous dna branch migration. Proceedings of the National Academy of Sciences 91(6), 2021–2025 (1994)
Biswas, I., Yamamoto, A., Hsieh, P.: Branch migration through DNA sequence heterology. Journal of Molecular Biology 279(4), 795–806 (1998)
Chiniforooshan, E., Doty, D., Kari, L., Seki, S.: Scalable, time-responsive, digital, energy-efficient molecular circuits using DNA strand displacement. In: Sakakibara, Y., Mi, Y. (eds.) DNA 16 2010. LNCS, vol. 6518, pp. 25–36. Springer, Heidelberg (2011)
Lipton, R.J.: DNA solution of hard computational problems. Science 268(5210), 542–545 (1995)
Sakamoto, K., Gouzu, H., Komiya, K., Kiga, D., Yokoyama, S., Yokomori, T., Hagiya, M.: Molecular computation by DNA hairpin formation. Science 288(5469), 1223–1226 (2000)
Manca, V., Zandron, C.: A clause string DNA algorithm for SAT. In: Jonoska, N., Seeman, N.C. (eds.) DNA 2001. LNCS, vol. 2340, pp. 172–181. Springer, Heidelberg (2002)
Manca, V.: DNA and membrane algorithms for SAT. Fundamenta Informaticae 49(1), 205–221 (2002)
Ogihara, M.: Breadth first search 3SAT algorithms for DNA computers (1996)
Wang, X., Bao, Z., Hu, J., Wang, S., Zhan, A.: Solving the SAT problem using a DNA computing algorithm based on ligase chain reaction. Biosystems 91(1), 117–125 (2008)
Soloveichik, D., Seelig, G., Winfree, E.: DNA as a universal substrate for chemical kinetics. Proceedings of the National Academy of Sciences 107(12), 5393–5398 (2010)
Davis, M., Putnam, H.: A computing procedure for quantification theory. J. ACM 7(3), 201–215 (1960)
Stahl, F.W.: The Holliday junction on its thirtieth anniversary.. Genetics 138(2), 241–246 (1994)
Liu, Y., West, S.C.: Happy Hollidays: 40th anniversary of the Holliday junction. Nature Reviews Molecular Cell Biology 5(11), 937–944 (2004)
Cook, S.A.: The complexity of theorem-proving procedures. In: STOC 1971: Proceedings of the Third Annual ACM Symposium on Theory of Computing, New York, NY, USA, pp. 151–158 (1971)
Esteban, J.L., Torán, J.: Space Bounds for Resolution. Information and Computation 171(1), 84–97 (2001)
Haken, A.: The intractability of resolution. Theoretical Computer Science 39, 297–308 (1985)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rodríguez-Patón, A., de Murieta, I.S., Sosík, P. (2011). Autonomous Resolution Based on DNA Strand Displacement. In: Cardelli, L., Shih, W. (eds) DNA Computing and Molecular Programming. DNA 2011. Lecture Notes in Computer Science, vol 6937. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23638-9_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-23638-9_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23637-2
Online ISBN: 978-3-642-23638-9
eBook Packages: Computer ScienceComputer Science (R0)