The style of genetic computing

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dc.creatorBuchler, Nicolas E.
dc.creatorGerland, Ulrich
dc.creatorHwa, Terence
dc.date2003-01-17
dc.date.accessioned2026-07-07T02:49:12Z
dc.date.available2026-07-07T02:49:12Z
dc.descriptionCells receive a wide variety of cellular and environmental signals, which must be processed combinatorially to generate specific and timely genetic responses. We present here a theoretical study on the combinatorial control and integration of transcription signals, with the finding that cis-regulatory systems with specific protein-DNA interaction and glue-like protein-protein interactions, supplemented by distal activation or repression mechanisms, have the capability to execute a wide range of control functions encoded in the regulatory DNA sequences. Using a quantitative model based on the well-characterized bacterial transcription system, we show explicitly how various regulatory logic functions can be implemented, by selecting the strengths and relative positions of the relevant protein-binding DNA sequences in the cis-regulatory region. The architecture that emerges is naturally modular and highly evolvable. Our findings suggest that the transcription regulatory apparatus is a "programmable" computing machine, belonging formally to the class of Boltzmann machines. We also expose critical shortcomings of the bacterial transcription systems, which limit the genome-wide adoption of schemes for complex transcription control, and discuss how they may be overcome by the eukaryotic transcription systems.
dc.description35 pages (preprint format), submitted for publication
dc.identifierhttps://arxiv.org/abs/cond-mat/0301312
dc.identifierhttp://arxiv.org/abs/cond-mat/0301312
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/20704
dc.subjectSoft Condensed Matter
dc.subjectStatistical Mechanics
dc.subjectBiological Physics
dc.subjectMolecular Networks
dc.titleThe style of genetic computing
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