Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9
pubmed:dateCreated
2000-5-24
pubmed:abstractText
Integral feedback control is a basic engineering strategy for ensuring that the output of a system robustly tracks its desired value independent of noise or variations in system parameters. In biological systems, it is common for the response to an extracellular stimulus to return to its prestimulus value even in the continued presence of the signal-a process termed adaptation or desensitization. Barkai, Alon, Surette, and Leibler have provided both theoretical and experimental evidence that the precision of adaptation in bacterial chemotaxis is robust to dramatic changes in the levels and kinetic rate constants of the constituent proteins in this signaling network [Alon, U., Surette, M. G., Barkai, N. & Leibler, S. (1998) Nature (London) 397, 168-171]. Here we propose that the robustness of perfect adaptation is the result of this system possessing the property of integral feedback control. Using techniques from control and dynamical systems theory, we demonstrate that integral control is structurally inherent in the Barkai-Leibler model and identify and characterize the key assumptions of the model. Most importantly, we argue that integral control in some form is necessary for a robust implementation of perfect adaptation. More generally, integral control may underlie the robustness of many homeostatic mechanisms.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-10358106, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-10805765, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-1103143, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-1495964, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-1867712, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-2677005, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-3015942, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-3076082, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-3298235, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-3784578, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-379649, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-392505, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-4560688, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-4563019, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-4925348, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-6784119, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-7026562, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-7040985, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-7696522, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-8334303, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-9202124, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-9207079, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-9590695, http://linkedlifedata.com/resource/pubmed/commentcorrection/10781070-9923680
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0027-8424
pubmed:author
pubmed:issnType
Print
pubmed:day
25
pubmed:volume
97
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
4649-53
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Robust perfect adaptation in bacterial chemotaxis through integral feedback control.
pubmed:affiliation
Division of Biology 147-75 and Department of Control and Dynamical Systems 107-81, California Institute of Technology, Pasadena, CA 91125, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't