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.

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Description/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.

Item Type: Book Section
ISBNs: 9783642135224 (print)
Related URLs:
Organisations: Agents, Interactions & Complexity, Electronic & Software Systems
ePrint ID: 271344
Date :
Date Event
26 June 2010Published
Date Deposited: 05 Jul 2010 13:42
Last Modified: 17 Apr 2017 18:16
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/271344

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