NDLI: Stochastic diffusion control for gene-regulating protein particles

Content Provider	Springer Nature Link
Author	Hirayama, Hirohumi Okita, Y. Sugiura, T.
Copyright Year	2001
Abstract	We introduce a precise analytical method for computing the temporal changes in concentration and fluxes of gene-regulating repressor protein particles. The temporal changes in repressor particle concentration is described by an integral-differential diffusion equation in cylindrical coordinates. The equation consists of the memory-less first-time-arrival probability and the integration of the return probability of the particles to the operator region of the DNA. By using the Laplace transformation, we could derive analytical forms of the temporal changes in concentration and flux in a radial direction, the total flux, and the first-time-arrival probability. We also computed the impulse responses of the first-time-arrival probability of the repressor to the sink. The computed diffusion of the repressor particles decreased rapidly from the onset of the reaction. As the diffusion constant in the medium around the DNA increased, the first-time-arrival probability, the diffusion, and the flux of the particles decreased, while the total flux into the target sink increased. As the chemical factor became predominantly a diffusion factor, the first-time-arrival probability, the diffusion, and the flux of the particles decreased. As the dissociation rate of the particles increased, the flux into the sink increased. The number of dissociated particles was significantly more influenced by the chemical factor than by the diffusion. The first-time-arrival probability oscillated significantly at the onest of the reaction. When this method has been extended, it will be available for predicing genetic expression and creating artificial life.
Starting Page	220
Ending Page	232
Page Count	13
File Format	PDF
ISSN	14335298
Journal	Artificial Life and Robotics
Volume Number	5
Issue Number	4
e-ISSN	16147456
Language	English
Publisher	Springer-Verlag
Publisher Date	2001-01-01
Publisher Place	Tokyo
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Gene DNA Repressor particle Diffusion controlled reaction Stochastic recruitment Computation by Abstract Devices Artificial Intelligence (incl. Robotics) Automation and Robotics
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Biochemistry, Genetics and Molecular Biology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Emerging cell array based on reaction–diffusion

Statistical micromechanical method for dynamic kinetic binary interaction among moderate dense gene-regulating bio-molecules

Evolving robot morphology and control

Stochastic analysis of schema distribution in a multiplicative landscape

Intelligence based on adaptive control

Artificial life and robotics

Orientation by weighted randomness

Information versus matter

Intelligence based on neuro-control

Stochastic diffusion control for gene-regulating protein particles

Similar Documents

Emerging cell array based on reaction–diffusion

Statistical micromechanical method for dynamic kinetic binary interaction among moderate dense gene-regulating bio-molecules

Evolving robot morphology and control

Stochastic analysis of schema distribution in a multiplicative landscape

Intelligence based on adaptive control

Artificial life and robotics

Orientation by weighted randomness

Information versus matter

Intelligence based on neuro-control

Stochastic diffusion control for gene-regulating protein particles