Abstract
In recent years scientists have been looking for new paradigms for constructing computational devices. These include quantum computation, DNA computation, neural networks, neuromorphic engineering and other analog VLSI devices. Since the 60’s genetic regulatory systems are thought of as “circuits” or “networks” of interacting components. The genetic material is the “program” that guides protein production in a cell. Protein levels determine the evolution of the network at subsequent times, and thus serve as its “memory”. This analogy between computing and the process of gene expression was pointed out in various papers. Bray suggests that protein based circuits are the device by which unicellular organisms react to their environment, instead of a nervous system. However, until recently this was only a useful metaphor for describing gene networks. Recent papers describe the successful fabrication of synthetic networks, i.e. programming of a gene network. Furthermore, it was shown both theoretically and experimentally that chemical reactions can be used to implement Boolean logic and neural networks.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsAuthor information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag London
About this paper
Cite this paper
Siegelmann, H.T., Ben-Hur, A. (2001). Macroscopic Molecular Computation with Gene Networks. In: Antoniou, I., Calude, C.S., Dinneen, M.J. (eds) Unconventional Models of Computation, UMC’2K. Discrete Mathematics and Theoretical Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-0313-4_9
Download citation
DOI: https://doi.org/10.1007/978-1-4471-0313-4_9
Publisher Name: Springer, London
Print ISBN: 978-1-85233-415-4
Online ISBN: 978-1-4471-0313-4
eBook Packages: Springer Book Archive