The University of Southampton
University of Southampton Institutional Repository

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.

Record type: Book Section


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.

PDF ConradM96ConfPttrRecCplxProcNet.pdf - Other
Download (944kB)

More information

Published date: 1996
Additional Information: LNCS Vol. 1278
Organisations: Agents, Interactions & Complexity


Local EPrints ID: 261898
PURE UUID: 7aa1f701-aa0b-4a8b-ad9a-ec9715a529e9

Catalogue record

Date deposited: 04 Feb 2006
Last modified: 18 Jul 2017 08:57

Export record


Author: Michael Conrad
Author: Klaus-Peter Zauner
Editor: R. Hofest\"adt
Editor: T. Lengauer
Editor: M. L\"offler
Editor: D. Schomburg

University divisions

Download statistics

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

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.