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From bioputing to bactoputing: computing with bacteria

Victor Norris 1 Abdallah Zemirline 2 Patrick Amar 3 Pascal Ballet 2 Eshel Ben Jacob 4 Gilles Bernot 5 Guillaume Beslon 6 Eric Fanchon 7 Jean-Louis Giavitto 8 Nicolas Glade 9 Patrick Greussay 10 Yohann Grondin 11 James A. Foster 12 Guillaume Hutzler 8 François Képès 13 Olivier Michel 8 Gradimir Misevic 1 Franck Molina 14 Jacqueline Signorini 10 Pasquale Stano 15 Alain Thierry 16
1 AMMIS - Assemblages moléculaires : modélisation et imagerie SIMS
2 LISYC - Laboratoire d'Informatique des Systèmes Complexes
3 LRI - Laboratoire de Recherche en Informatique
4 School of Physics and Astronomy [Tel Aviv]
5 I3S - Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis
6 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
7 IBS - UMR 5075 - Institut de biologie structurale
8 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
9 NEANT
10 LIASD - Laboratoire d'Informatique Avancée de Saint-Denis
11 Department of Physics and Astronomy [Leicester]
12 Departement of Biological Sciences
13 Génopole [Evry]
14 DAA - Défenses antivirales et antitumorales
15 Enrico Fermi - Dipartimento di Fisica
16 SysDiag - Sysdiag-Modélisation et Ingénierie des Systèmes Complexes Biologiques pour le Diagnostic
Abstract : The relevance of certain biological materials and processes to computing or bioputing has been explored for decades. These materials include DNA, RNA, enzymes and other proteins whilst the processes include transcription and translation (as well as the control of these processes by protein and by small RNA) and signal transduction. Recently, other directions have been envisaged using bacteria themselves as living computers. Generally, these uses of bacteria fall within the classical paradigm of computing. Computer scientists, however, have a variety of problems to which they seek solutions whilst microbiologists are having new insights into the problems bacteria are solving and how they are solving them. Here, we envisage that bacteria might be used for new sorts of computing. These might be based on the capacity of bacteria to grow, move and adapt to a myriad different fickle environments as both individuals and as populations of both bacteria and bacteriophage. This new computing may extend to developing a new high level language appropriate to using populations of bacteria and bacteriophage. Such new principles might be based on the way that bacteria explore phenotype space via hyperstructure dynamics and the fundamental nature of the cell cycle. Here we offer a speculative tour of what we term bactoputing, namely the use of the natural behaviour of bacteria and other cells for calculating.
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https://hal.archives-ouvertes.fr/hal-00340470
Contributor : Frédéric Davesne <>
Submitted on : Thursday, November 20, 2008 - 11:47:00 PM
Last modification on : Tuesday, May 11, 2021 - 11:36:03 AM

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  • HAL Id : hal-00340470, version 1

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UNIV-EVRY | UNICE | UNIV-LYON2 | EC-LYON | I3S | LIRIS | IBISC-COSMO | IBISC | UNIV-BREST | ENIB | UMR8623 | IBS | CEA | CNRS | UNIV-PARIS8 | UNIV-COTEDAZUR | UNIV-LYON1 | CEA-DRF | COMUE-NORMANDIE | UNIROUEN | INSA-GROUPE | IRIG | CEA-GRE | UNIV-PARIS-LUMIERES | UDL | LIASD

Citation

Victor Norris, Abdallah Zemirline, Patrick Amar, Pascal Ballet, Eshel Ben Jacob, et al.. From bioputing to bactoputing: computing with bacteria. Proceedings of the Lille Spring School on Modelling Complex Biological Systems in the Context of Genomics, 2008, Paris, France. ⟨hal-00340470⟩

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