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Characterising Enzymes for Information Processing: Towards an Artificial Experimenter

Lovell, Chris, Jones, Gareth, Gunn, Steve and Zauner, Klaus-Peter (2010) Characterising Enzymes for Information Processing: Towards an Artificial Experimenter In, 9th International Conference on Unconventional Computation. Springer Berlin / Heidelberg pp. 81-92.

Record type: Book Section

Abstract

The information processing capabilities of many proteins are currently unexplored. The complexities and high dimensional parameter spaces make their investigation impractical. Difficulties arise as limited resources prevent intensive experimentation to identify repeatable behaviours. To assist in this exploration, computational techniques can be applied to efficiently search the space and automatically generate probable response behaviours. Here an artificial experimenter is discussed that aims to mimic the abilities of a successful human experimenter, using multiple hypotheses to cope with the small number of observations practicable. Coupling this approach with a lab-on-chip platform currently in development, we seek to create an autonomous experimentation machine capable of enzyme characterisation, which can be used as a tool for developing enzymatic computing.

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More information

Published date: 26 June 2010
Organisations: Agents, Interactions & Complexity, Electronic & Software Systems

Identifiers

Local EPrints ID: 271344
URI: http://eprints.soton.ac.uk/id/eprint/271344
ISBN: 978-3-642-13522-4
PURE UUID: bfdfef89-9047-4e24-933c-5235749ef481

Catalogue record

Date deposited: 05 Jul 2010 13:42
Last modified: 18 Jul 2017 06:44

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Contributors

Author: Chris Lovell
Author: Gareth Jones
Author: Steve Gunn
Author: Klaus-Peter Zauner

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