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, 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
Related URLs:
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Electronic & Software Systems
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
ePrint ID: 271344
Date Deposited: 05 Jul 2010 13:42
Last Modified: 27 Mar 2014 20:16
Further Information:Google Scholar
ISI Citation Count:2
URI: http://eprints.soton.ac.uk/id/eprint/271344

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