dorsal/arxiv
View SchemaTopology of biological networks and reliability of information processing
| Authors | Konstantin Klemm, Stefan Bornholdt |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0409022 |
| URL | https://arxiv.org/abs/q-bio/0409022 |
| DOI | 10.1073/pnas.0509132102 |
| Journal | Proc. Natl. Acad. Sci. USA 102 (2005) 18414 |
Abstract
Biological systems rely on robust internal information processing: Survival depends on highly reproducible dynamics of regulatory processes. Biological information processing elements, however, are intrinsically noisy (genetic switches, neurons, etc.). Such noise poses severe stability problems to system behavior as it tends to desynchronize system dynamics (e.g. via fluctuating response or transmission time of the elements). Synchronicity in parallel information processing is not readily sustained in the absence of a central clock. Here we analyze the influence of topology on synchronicity in networks of autonomous noisy elements. In numerical and analytical studies we find a clear distinction between non-reliable and reliable dynamical attractors, depending on the topology of the circuit. In the reliable cases, synchronicity is sustained, while in the unreliable scenario, fluctuating responses of single elements can gradually desynchronize the system, leading to non-reproducible behavior. We find that the fraction of reliable dynamical attractors strongly correlates with the underlying circuitry. Our model suggests that the observed motif structure of biological signaling networks is shaped by the biological requirement for reproducibility of attractors.
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"abstract": "Biological systems rely on robust internal information processing: Survival\ndepends on highly reproducible dynamics of regulatory processes. Biological\ninformation processing elements, however, are intrinsically noisy (genetic\nswitches, neurons, etc.). Such noise poses severe stability problems to system\nbehavior as it tends to desynchronize system dynamics (e.g. via fluctuating\nresponse or transmission time of the elements). Synchronicity in parallel\ninformation processing is not readily sustained in the absence of a central\nclock. Here we analyze the influence of topology on synchronicity in networks\nof autonomous noisy elements. In numerical and analytical studies we find a\nclear distinction between non-reliable and reliable dynamical attractors,\ndepending on the topology of the circuit. In the reliable cases, synchronicity\nis sustained, while in the unreliable scenario, fluctuating responses of single\nelements can gradually desynchronize the system, leading to non-reproducible\nbehavior. We find that the fraction of reliable dynamical attractors strongly\ncorrelates with the underlying circuitry. Our model suggests that the observed\nmotif structure of biological signaling networks is shaped by the biological\nrequirement for reproducibility of attractors.",
"arxiv_id": "q-bio/0409022",
"authors": [
"Konstantin Klemm",
"Stefan Bornholdt"
],
"categories": [
"q-bio.MN",
"cond-mat.dis-nn",
"cs.DC"
],
"doi": "10.1073/pnas.0509132102",
"journal_ref": "Proc. Natl. Acad. Sci. USA 102 (2005) 18414",
"title": "Topology of biological networks and reliability of information processing",
"url": "https://arxiv.org/abs/q-bio/0409022"
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