Quantum Gate Circuit Model of Signal Integration in Bacterial Quorum Sensing
Bacteria evolved cell to cell communication processes to gain information about their environment and regulate gene expression. Quorum sensing is such a process in which signaling molecules, called autoinducers, are produced, secreted and detected. In several cases bacteria use more than one autoind...
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| Veröffentlicht in: | IEEE/ACM transactions on computational biology and bioinformatics 2012-03, Vol.9 (2), p.571-579 |
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| description | Bacteria evolved cell to cell communication processes to gain information about their environment and regulate gene expression. Quorum sensing is such a process in which signaling molecules, called autoinducers, are produced, secreted and detected. In several cases bacteria use more than one autoinducers and integrate the information conveyed by them. It has not yet been explained adequately why bacteria evolved such signal integration circuits and what can learn about their environments using more than one autoinducers since all signaling pathways merge in one. Here quantum information theory, which includes classical information theory as a special case, is used to construct a quantum gate circuit that reproduces recent experimental results. Although the conditions in which biosystems exist do not allow for the appearance of quantum mechanical phenomena, the powerful computation tools of quantum information processing can be carefully used to cope with signal and information processing by these complex systems. A simulation algorithm based on this model has been developed and numerical experiments that analyze the dynamical operation of the quorum sensing circuit were performed for various cases of autoinducer variations, which revealed that these variations contain significant information about the environment in which bacteria exist. |
| doi_str_mv | 10.1109/TCBB.2011.104 |
| format | Article |
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Although the conditions in which biosystems exist do not allow for the appearance of quantum mechanical phenomena, the powerful computation tools of quantum information processing can be carefully used to cope with signal and information processing by these complex systems. 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G.</creatorcontrib><title>Quantum Gate Circuit Model of Signal Integration in Bacterial Quorum Sensing</title><title>IEEE/ACM transactions on computational biology and bioinformatics</title><addtitle>TCBB</addtitle><addtitle>IEEE/ACM Trans Comput Biol Bioinform</addtitle><description>Bacteria evolved cell to cell communication processes to gain information about their environment and regulate gene expression. Quorum sensing is such a process in which signaling molecules, called autoinducers, are produced, secreted and detected. In several cases bacteria use more than one autoinducers and integrate the information conveyed by them. It has not yet been explained adequately why bacteria evolved such signal integration circuits and what can learn about their environments using more than one autoinducers since all signaling pathways merge in one. 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G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-e7a0372b2f99e6a4c336d60c72b89ff3d42c36da2667168da4c9a24ca4d00a8e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Bacteria</topic><topic>Bacterial Proteins - chemistry</topic><topic>Bacterial Proteins - metabolism</topic><topic>Bacteriology</topic><topic>Biological system modeling</topic><topic>Computational modeling</topic><topic>Computer Simulation</topic><topic>Information processing</topic><topic>Information theory</topic><topic>Integrated circuit modeling</topic><topic>Microorganisms</topic><topic>modeling</topic><topic>Numerical models</topic><topic>quantum gates</topic><topic>quantum information processing</topic><topic>Quantum theory</topic><topic>Quorum sensing</topic><topic>Quorum Sensing - genetics</topic><topic>Quorum Sensing - physiology</topic><topic>Sensors</topic><topic>Signal Transduction - genetics</topic><topic>Signal Transduction - physiology</topic><topic>simulation</topic><topic>Studies</topic><topic>systems biology</topic><topic>Systems Biology - methods</topic><topic>Transcription Factors - chemistry</topic><topic>Transcription Factors - metabolism</topic><topic>Vibrio - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Karafyllidis, I. 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G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantum Gate Circuit Model of Signal Integration in Bacterial Quorum Sensing</atitle><jtitle>IEEE/ACM transactions on computational biology and bioinformatics</jtitle><stitle>TCBB</stitle><addtitle>IEEE/ACM Trans Comput Biol Bioinform</addtitle><date>2012-03-01</date><risdate>2012</risdate><volume>9</volume><issue>2</issue><spage>571</spage><epage>579</epage><pages>571-579</pages><issn>1545-5963</issn><eissn>1557-9964</eissn><coden>ITCBCY</coden><abstract>Bacteria evolved cell to cell communication processes to gain information about their environment and regulate gene expression. Quorum sensing is such a process in which signaling molecules, called autoinducers, are produced, secreted and detected. In several cases bacteria use more than one autoinducers and integrate the information conveyed by them. 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| subjects | Bacteria Bacterial Proteins - chemistry Bacterial Proteins - metabolism Bacteriology Biological system modeling Computational modeling Computer Simulation Information processing Information theory Integrated circuit modeling Microorganisms modeling Numerical models quantum gates quantum information processing Quantum theory Quorum sensing Quorum Sensing - genetics Quorum Sensing - physiology Sensors Signal Transduction - genetics Signal Transduction - physiology simulation Studies systems biology Systems Biology - methods Transcription Factors - chemistry Transcription Factors - metabolism Vibrio - physiology |
| title | Quantum Gate Circuit Model of Signal Integration in Bacterial Quorum Sensing |
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