References


References

Ashby, W. R. 1968. Some consequences of Bremermann's limit for information-processing systems. In Cybernetic Problems in Bionics, ed. H. L. Oestreicher and D. R. Moore, 69–76. New York: Gordon and Breach.

Beaudry, A. A., and G. F. Joyce. 1992. Directed evolution of an RNA enzyme. Science 257: 635–641.

Blodgett, K. B. 1935. Films built by depositing successive monomolecular layers on a solid surface. J. Am. Chem. Soc. 57: 1007–1022.

Box, G. E. P., and N. R. Draper. 1987. Empirical Model-Building and Response Surfaces. New York: John Wiley and Sons.

Cacace, M. G., E. M. Landau, and J. J. Ramsden. 1997. The Hofmeister series: Salt and solvent effects on interfacial phenomena. Q. Rev. BioPhys. 30: 241–278.

Chaitin, G. J. 1966. On the length of programs for computing finite binary sequences. J. Assoc. Comput. Mach. 13: 547–569.

Chaitin, G. J. 1974. Information-theoretic computational complexity. IEEE Trans. Inf. Theor. 20: 10–15.

Chen, J.-C. 1993. Computer Experiments on Evolutionary Learning in a Multilevel Neuromolecular Architecture. Ph.D. thesis, Wayne State University, Detroit.

Chen, J.-C. 2000. Data differentiation and parameter analysis of a chronic heptatitis B database with an artificial neuromolecular system. BioSystems 57: 23–36.

Chen, J.-C., and M. Conrad. 1994. Learning synergy in a multilevel neuronal architecture. BioSystems 32: 111–142.

Chen, J.-C., and M. Conrad. 1997. Evolutionary learning with a neuromolecular architecture: A biologically motivated approach to computational adaptability. Soft Computing 1: 19–34.

Chohen, C. B., E. Chin-Dixon, S. Jeong, and T. T. Nikiforov. 1999. A microchip-based enzyme assay for protein kinase A. Anal. BioChem. 273: 89–97.

Conrad, M. 1979. Mutation-absorption model of the enzyme. Bull. Math. Biol. 41: 387–405.

Conrad, M. 1983. Adaptability: The Significance of Variability from Molecule to Ecosystem. New York: Plenum Press.

Conrad, M. 1984. Microscopic-macroscopic interface in biological information processing. BioSystems 16: 345–363.

Conrad, M. 1990. Molecular computing. In Advances in Computers. Vol. 31, ed. M. C. Yovits, 235–324. San Diego: Academic Press.

Conrad, M. 1994a. Amplification of superpositional effects through electronic-conformational interactions. Chaos, Solitons, and Fractals 4: 423–438.

Conrad, M. 1994b. The fitness of carbon for computing. In Molecular and Biomolecular Electronics, ed. R. R. Birge, 43–62. Washington, D.C.: American Chemical Society.

Conrad, M. 1995. Scaling of efficiency in programmable and nonprogrammable systems. BioSystems 35: 161–166.

Conrad, M., and M. Volkenstein. 1981. Replaceability of amino acids and the self-facilitation of evolution. J. Theor. Biol. 92: 293–299.

Cornell, J. A. 1990. Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data. New York: John Wiley and Sons.

Davidson, A. R., and R. T. Sauer. 1994. Folded proteins occur frequently in libraries of random amino acid sequences. Proc. Natl. Acad. Sci. USA 91: 2146–2150.

Edsall, J. T., and J. Wyman. 1958. Biophysical Chemistry. New York: Academic Press.

Ellacott, S., and D. Bose. 1996. Neural Networks: Deterministic Methods of Analysis. London: International Thomson Computer Press.

Fischer, E. 1894. Einfluss der Configuration auf die Wirkung der Enzyme. Berichte der Deutschen Chemischen Gesellschaft (since 1947: Chemische Berichte) 27–3: 2985–2993 (in German).

Frauenfelder, H., F. Park, and R. D. Young. 1988. Conformational substates in proteins. Annu. Rev. Biophys. Biophys. Chem. 17: 451–479.

Freire, E. 1998. Statistical thermodynamic linkage between conformational and binding equilibria. Adv. Prot. Chem. 51: 255–279.

Gao, C.,C.-H. Lin, C.-H. L. Lo, S. Mao, P. Wirsching, R. A. Lerner, and K. D. Janda. 1997. Making chemistry selectable by linking it to infectivity. Proc. Natl. Acad. Sci. USA 94: 11777–11782.

Griffith, V. V., J. A. Davis, and R. H. Kause. 1968. Learning of the exclusive-or logic function in rats. In Cybernetic Problems in Bionics, ed. H. L. Oestreicher and D. R. Moore, 587–595. New York: Gordon and Breach.

Hadd, A. G., D. E. Raymond, J. W. Halliwell, S. C. Jacobson, and J. M. Ramsey. 1997. Microchip device for performing enzyme assays. Anal. Chem. 69: 3407–3412.

Henderson, L. J. 1913. The Fitness of the Environment. New York: Macmillan.

Hofstadter, D. 1980. G del, Escher, Bach: An Eternal Golden Braid. New York: Vintage Books.

Kampis, G. 1991. Self-Modifying Systems in Biology and Cognitive Science, chap. 6, 278–343. Oxford: Pergamon Press.

Laidler, K. J., and P. S. Bunting. 1973. The Chemical Kinetics of Enzyme Action. 2d ed. Oxford: Clarendon Press.

Li, M., and P. Vit nyi. 1997. An Introduction to Kolmogorov Complexity and its Applications. 2d ed. New York: Springer.

Minsky, M. L., and S. Papert. 1969. Perceptrons: An Introduction to Computational Geometry. Cambridge: MIT Press.

Prijambada, I. D., T. Yomo, F. Tanaka, T. Kawama, K. Yamamoto, A. Hasegawa, Y. Shima, S. Negoro, and I. Urabe. 1996. Solubility of artificial proteins with random sequences. FEBS Lett. 382: 21–25.

Sidgwick, N. V. 1950. The Chemical Elements and Their Compounds. Vol. 2. New York: Oxford University Press.

Stryer, L. 1988. Biochemistry. New York: W. H. Freeman.

Unger, M. A., H.-P. Chou, T. Thorsen, A. Scherer, and S. R. Quake. 2000. Monolithic microfabricated valves and pumps by multilayer soft lithography. Science 288: 113–116.

von Neumann, J. 1951. The general and logical theory of automata. In Cerebral Mechanisms in Behaviour—The Hixon Symposium. New York: John Wiley. (Reprinted in J. von Neumann, Collected Works, ed. A. H. Taub. Vol. 5, 288–328. New York: Pergamon Press, 1963.)

White, A., P. Handler, and E. L. Smith. 1968. Principles of Biochemistry. New York: McGraw-Hill.

Yamauchi, A., T. Yomo, F. Tanaka, I. D. Prijambada, S. Ohhashi, K. Yamamoto, Y. Shima, K. Ogasahara, K. Yutani, M. Kataoka, and I. Urabe. 1998. Characterization of soluble artificial proteins with random sequences. FEBS Lett. 421: 147–151.

Zauner, K.-P. 1996. Simulation system for studying spatially structured biochemical interactions. Master's thesis, Wayne State University.

Zauner, K.-P., and M. Conrad. 1996. Parallel computing with DNA: Toward the anti-universal machine. In Parallel Problem Solving from Nature: PPSN IV. Vol. 1141 of Lecture Notes in Computer Science, ed. H.-M. Voigt, W. Ebeling, I. Rechenberg, and H.-P. Schwefel, 696–705. Berlin: Springer-Verlag.

Zauner, K.-P., and M. Conrad. 1997. Conformation-driven molecular computing: The optical connection. Opt. Mem. Neural Netw. 6: 157–173.

Zauner, K.-P., and M. Conrad. 2000. Enzymatic pattern processing. Naturwissenschaften 87: 360–362.

Zauner, K.-P., and M. Conrad. 2001. Molecular approach to informal computing. Soft Computing 5: 39–44.




Molecular Computing
Molecular Computing
ISBN: 0262693313
EAN: 2147483647
Year: 2003
Pages: 94

flylib.com © 2008-2017.
If you may any questions please contact us: flylib@qtcs.net