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 pp. 1-10.

Download

[img] PDF ConradM96ConfPttrRecCplxProcNet.pdf - Other
Download (944kB)

Description/Abstract

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:
Organisations: Agents, Interactions & Complexity
ePrint ID: 261898
Date :
Date Event
1996Published
Date Deposited: 04 Feb 2006
Last Modified: 17 Apr 2017 21:50
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/261898

Actions (login required)

View Item View Item