Kinetic modelling of compartmentalised reaction networks. (November 2020)
- Record Type:
- Journal Article
- Title:
- Kinetic modelling of compartmentalised reaction networks. (November 2020)
- Main Title:
- Kinetic modelling of compartmentalised reaction networks
- Authors:
- Hofmeyr, Jan-Hendrik S.
- Abstract:
- Abstract: This paper presents a comprehensive treatment of kinetic modelling of compartmentalised reaction networks in the context of systems biology. There is still a lot of confusion about how to go about constructing compartment models, and many published models are flawed with respect to how they handle compartmentation. The modelling framework described here answers two key questions: Which rate laws should be used to describe the rates of reactions in compartmentalised systems? How should these rate laws be incorporated in the ordinary differential equations (ODEs) that describe the dynamics of the compartmentalised system? The framework rests on the fundamental definition of reaction rate as the number of reaction events per time, which is related to the time derivative of mole amount of reactant or product, an extensive property that is directly proportional to the size of the compartment in which the reaction events occur. This means that the rates of reactions that occur in a 3-dimensional compartment are proportional to the volume of the compartment, while the rates of transfers over a 2-dimensional compartment boundary or interface between compartments are proportional to the area of the boundary. Transfer rates are often incorrectly scaled with a volume instead of an area, and the reasons why this is wrong are extensively discussed. I also show how 'textbook' rate equations, which I term canonical rate equations, should be modified for compartmental modellingAbstract: This paper presents a comprehensive treatment of kinetic modelling of compartmentalised reaction networks in the context of systems biology. There is still a lot of confusion about how to go about constructing compartment models, and many published models are flawed with respect to how they handle compartmentation. The modelling framework described here answers two key questions: Which rate laws should be used to describe the rates of reactions in compartmentalised systems? How should these rate laws be incorporated in the ordinary differential equations (ODEs) that describe the dynamics of the compartmentalised system? The framework rests on the fundamental definition of reaction rate as the number of reaction events per time, which is related to the time derivative of mole amount of reactant or product, an extensive property that is directly proportional to the size of the compartment in which the reaction events occur. This means that the rates of reactions that occur in a 3-dimensional compartment are proportional to the volume of the compartment, while the rates of transfers over a 2-dimensional compartment boundary or interface between compartments are proportional to the area of the boundary. Transfer rates are often incorrectly scaled with a volume instead of an area, and the reasons why this is wrong are extensively discussed. I also show how 'textbook' rate equations, which I term canonical rate equations, should be modified for compartmental modelling and how they should be incorporated into either amount-change or concentration-change ODEs. … (more)
- Is Part Of:
- Bio systems. Volume 197(2020)
- Journal:
- Bio systems
- Issue:
- Volume 197(2020)
- Issue Display:
- Volume 197, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 197
- Issue:
- 2020
- Issue Sort Value:
- 2020-0197-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-11
- Subjects:
- Compartmentalised reaction networks -- Kinetic modelling -- Rate equations -- Metabolic modelling -- Systems biology
Biological systems -- Periodicals
Biology -- Periodicals
Biology -- Periodicals
Evolution -- Periodicals
Biologie -- Périodiques
Évolution -- Périodiques
570 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03032647 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.biosystems.2020.104203 ↗
- Languages:
- English
- ISSNs:
- 0303-2647
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2089.670000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14268.xml