-
Je něco špatně v tomto záznamu ?
Information transfer through a signaling module with feedback: A perturbative approach
G. Aquino, M. Zapotocky,
Jazyk angličtina Země Irsko
Typ dokumentu časopisecké články, práce podpořená grantem
- MeSH
- biologické modely * MeSH
- gating iontového kanálu fyziologie MeSH
- lidé MeSH
- počítačová simulace MeSH
- signální transdukce fyziologie MeSH
- ukládání a vyhledávání informací metody MeSH
- vápník metabolismus MeSH
- vápníkové kanály metabolismus MeSH
- zpětná vazba fyziologická fyziologie MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Signal transduction in biological cells is effected by signaling pathways that typically include multiple feedback loops. Here we analyze information transfer through a prototypical signaling module with biochemical feedback. The module switches stochastically between an inactive and active state; the input to the module governs the activation rate while the output (i.e., the product concentration) perturbs the inactivation rate. Using a novel perturbative approach, we compute the rate with which information about the input is gained from observation of the output. We obtain an explicit analytical result valid to first order in feedback strength and to second order in the strength of input. The total information gained during an extended time interval is found to depend on the feedback strength only through the total number of activation/inactivation events.
Department of Life Sciences Imperial College SW7 2AZ London UK
Institute of Physiology of the Czech Academy of Sciences Videnska 1083 14220 Prague Czech Republic
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc16028287
- 003
- CZ-PrNML
- 005
- 20161019102140.0
- 007
- ta
- 008
- 161005s2015 ie f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1016/j.biosystems.2015.08.001 $2 doi
- 024 7_
- $a 10.1016/j.biosystems.2015.08.001 $2 doi
- 035 __
- $a (PubMed)26296775
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a ie
- 100 1_
- $a Aquino, Gerardo $u Department of Life Sciences, Imperial College, SW7 2AZ London, UK. Electronic address: g.aquino@imperial.ac.uk. $7 gn_A_00007903
- 245 10
- $a Information transfer through a signaling module with feedback: A perturbative approach / $c G. Aquino, M. Zapotocky,
- 520 9_
- $a Signal transduction in biological cells is effected by signaling pathways that typically include multiple feedback loops. Here we analyze information transfer through a prototypical signaling module with biochemical feedback. The module switches stochastically between an inactive and active state; the input to the module governs the activation rate while the output (i.e., the product concentration) perturbs the inactivation rate. Using a novel perturbative approach, we compute the rate with which information about the input is gained from observation of the output. We obtain an explicit analytical result valid to first order in feedback strength and to second order in the strength of input. The total information gained during an extended time interval is found to depend on the feedback strength only through the total number of activation/inactivation events.
- 650 _2
- $a zvířata $7 D000818
- 650 _2
- $a vápník $x metabolismus $7 D002118
- 650 _2
- $a vápníkové kanály $x metabolismus $7 D015220
- 650 _2
- $a počítačová simulace $7 D003198
- 650 _2
- $a zpětná vazba fyziologická $x fyziologie $7 D025461
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a ukládání a vyhledávání informací $x metody $7 D016247
- 650 _2
- $a gating iontového kanálu $x fyziologie $7 D015640
- 650 12
- $a biologické modely $7 D008954
- 650 _2
- $a signální transdukce $x fyziologie $7 D015398
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Zapotocky, Martin $u Institute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14220 Prague, Czech Republic.
- 773 0_
- $w MED00000785 $t Bio Systems $x 1872-8324 $g Roč. 136, č. - (2015), s. 66-72
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/26296775 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20161005 $b ABA008
- 991 __
- $a 20161019102545 $b ABA008
- 999 __
- $a ok $b bmc $g 1166601 $s 952917
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2015 $b 136 $c - $d 66-72 $e 20150819 $i 1872-8324 $m Biosystems $n Biosystems $x MED00000785
- LZP __
- $a Pubmed-20161005