Molecular Computing: from conformational pattern recognition to complex processing networks

Conrad, Michael and Zauner, Klaus-Peter (1996) Molecular Computing: from conformational pattern recognition to complex processing networks. In, Hofest\"adt, R., Lengauer, T., L\"offler, M. and Schomburg, D. (eds.) Bioinformatics. , Springer-Verlag, Berlin, 1-10.


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Natural biomolecular systems process information in a rad- ically different manner than programmable machines. Conformational interactions, the basis of specificity and self-assembly, are of key impor- tance. A gedanken device is presented that illustrates how the fusion of information through conformational self-organization can serve to en- hance pattern processing at the cellular level. The device is used to high- fight general features of biomolecular information processing. We briefly outline a simulation system designed to address the manner in which conformational processing interacts with kinetic and higher level struc- tural dynamics in complex biochemical networks. Virtual models that capture features of biomolecular information processing can in some in- stances have artificial intelligence value in their own right and should serve as design tools for future computers built from real molecules.

Item Type: Book Section
Additional Information: LNCS Vol. 1278
Related URLs:
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
ePrint ID: 261898
Date Deposited: 04 Feb 2006
Last Modified: 27 Mar 2014 20:04
Publisher: Springer-Verlag, Berlin
Further Information:Google Scholar

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