Modelling dynamic plant cells

J Liu; CS Grierson; AAR Webb; PJ Hussey

doi:10.1016/j.pbi.2010.10.002

Modelling dynamic plant cells

J Liu, CS Grierson, AAR Webb, PJ Hussey

Research output: Contribution to journal › Article (Academic Journal) › peer-review

13 Citations (Scopus)

Abstract

A major challenge in plant biology is to understand how functions in plant cells emerge from interactions between molecular components. Computational and mathematical modelling can encapsulate the relationships between molecular components and reveal how biological functions emerge. We review recent progress in modelling in metabolism, growth, signalling and circadian rhythms in plant cells. We discuss challenges and opportunities for future directions. Research highlights Recent attempts to use computational and mathematical modelling to understand how functions in plant cells emerge from interactions between molecular components are reviewed. Examples of different types of modelling tool and their application to metabolism, growth, signalling and circadian rhythms in plant cells are summarised. Challenges and opportunities for future directions are discussed.

Translated title of the contribution	Modelling dynamic plant cells
Original language	English
Pages (from-to)	744 - 749
Number of pages	6
Journal	Current Opinion in Plant Biology
Volume	13
DOIs	https://doi.org/10.1016/j.pbi.2010.10.002
Publication status	Published - Dec 2010

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title = "Modelling dynamic plant cells",

abstract = "A major challenge in plant biology is to understand how functions in plant cells emerge from interactions between molecular components. Computational and mathematical modelling can encapsulate the relationships between molecular components and reveal how biological functions emerge. We review recent progress in modelling in metabolism, growth, signalling and circadian rhythms in plant cells. We discuss challenges and opportunities for future directions. Research highlights Recent attempts to use computational and mathematical modelling to understand how functions in plant cells emerge from interactions between molecular components are reviewed. Examples of different types of modelling tool and their application to metabolism, growth, signalling and circadian rhythms in plant cells are summarised. Challenges and opportunities for future directions are discussed.",

author = "J Liu and CS Grierson and AAR Webb and PJ Hussey",

year = "2010",

month = dec,

doi = "10.1016/j.pbi.2010.10.002",

language = "English",

volume = "13",

pages = "744 -- 749",

journal = "Current Opinion in Plant Biology",

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AU - Liu, J

AU - Grierson, CS

AU - Webb, AAR

AU - Hussey, PJ

PY - 2010/12

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N2 - A major challenge in plant biology is to understand how functions in plant cells emerge from interactions between molecular components. Computational and mathematical modelling can encapsulate the relationships between molecular components and reveal how biological functions emerge. We review recent progress in modelling in metabolism, growth, signalling and circadian rhythms in plant cells. We discuss challenges and opportunities for future directions. Research highlights Recent attempts to use computational and mathematical modelling to understand how functions in plant cells emerge from interactions between molecular components are reviewed. Examples of different types of modelling tool and their application to metabolism, growth, signalling and circadian rhythms in plant cells are summarised. Challenges and opportunities for future directions are discussed.

AB - A major challenge in plant biology is to understand how functions in plant cells emerge from interactions between molecular components. Computational and mathematical modelling can encapsulate the relationships between molecular components and reveal how biological functions emerge. We review recent progress in modelling in metabolism, growth, signalling and circadian rhythms in plant cells. We discuss challenges and opportunities for future directions. Research highlights Recent attempts to use computational and mathematical modelling to understand how functions in plant cells emerge from interactions between molecular components are reviewed. Examples of different types of modelling tool and their application to metabolism, growth, signalling and circadian rhythms in plant cells are summarised. Challenges and opportunities for future directions are discussed.

U2 - 10.1016/j.pbi.2010.10.002

DO - 10.1016/j.pbi.2010.10.002

M3 - Article (Academic Journal)

C2 - 21071264

VL - 13

SP - 744

EP - 749

JO - Current Opinion in Plant Biology

JF - Current Opinion in Plant Biology

SN - 1369-5266

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