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.


[img] PDF
Download (922Kb)


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
Accepted Date and Publication Date:
Date Deposited: 04 Feb 2006
Last Modified: 31 Mar 2016 14:04
Further Information:Google Scholar

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics