Molecular Computing: from conformational pattern recognition to complex processing networks
Molecular Computing: from conformational pattern recognition to complex processing networks
Natural biomolecular systems process information in a radically different manner than programmable machines. Conformational interactions, the basis of specificity and self-assembly, are of key importance. A gedanken device is presented that illustrates how the fusion of information through conformational self-organization can serve to enhance pattern processing at the cellular level. The device is used to highlight 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 structural dynamics in complex biochemical networks. Virtual models that capture features of biomolecular information processing can in some instances have artificial intelligence value in their own right and should serve as design tools for future computers built from real molecules.
1-10
Conrad, Michael
8f15caa6-88ae-437c-a95e-3d94666d261f
Zauner, Klaus-Peter
c8b22dbd-10e6-43d8-813b-0766f985cc97
1996
Conrad, Michael
8f15caa6-88ae-437c-a95e-3d94666d261f
Zauner, Klaus-Peter
c8b22dbd-10e6-43d8-813b-0766f985cc97
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, .
Record type:
Book Section
Abstract
Natural biomolecular systems process information in a radically different manner than programmable machines. Conformational interactions, the basis of specificity and self-assembly, are of key importance. A gedanken device is presented that illustrates how the fusion of information through conformational self-organization can serve to enhance pattern processing at the cellular level. The device is used to highlight 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 structural dynamics in complex biochemical networks. Virtual models that capture features of biomolecular information processing can in some instances have artificial intelligence value in their own right and should serve as design tools for future computers built from real molecules.
Text
ConradM96ConfPttrRecCplxProcNet.pdf
- Other
More information
Published date: 1996
Additional Information:
LNCS Vol. 1278
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 261898
URI: http://eprints.soton.ac.uk/id/eprint/261898
PURE UUID: 7aa1f701-aa0b-4a8b-ad9a-ec9715a529e9
Catalogue record
Date deposited: 04 Feb 2006
Last modified: 14 Mar 2024 07:01
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Contributors
Author:
Michael Conrad
Author:
Klaus-Peter Zauner
Editor:
R. Hofest\"adt
Editor:
T. Lengauer
Editor:
M. L\"offler
Editor:
D. Schomburg
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