Literature DB >> 21212881

Multi-scale modelling and simulation in systems biology.

Joseph O Dada1, Pedro Mendes.   

Abstract

The aim of systems biology is to describe and understand biology at a global scale where biological functions are recognised as a result of complex mechanisms that happen at several scales, from the molecular to the ecosystem. Modelling and simulation are computational tools that are invaluable for description, prediction and understanding these mechanisms in a quantitative and integrative way. Therefore the study of biological functions is greatly aided by multi-scale methods that enable the coupling and simulation of models spanning several spatial and temporal scales. Various methods have been developed for solving multi-scale problems in many scientific disciplines, and are applicable to continuum based modelling techniques, in which the relationship between system properties is expressed with continuous mathematical equations or discrete modelling techniques that are based on individual units to model the heterogeneous microscopic elements such as individuals or cells. In this review, we survey these multi-scale methods and explore their application in systems biology.

Mesh:

Year:  2011        PMID: 21212881     DOI: 10.1039/c0ib00075b

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  34 in total

1.  Lazy Updating of hubs can enable more realistic models by speeding up stochastic simulations.

Authors:  Kurt Ehlert; Laurence Loewe
Journal:  J Chem Phys       Date:  2014-11-28       Impact factor: 3.488

2.  An approach to multiscale modelling with graph grammars.

Authors:  Yongzhi Ong; Katarína Streit; Michael Henke; Winfried Kurth
Journal:  Ann Bot       Date:  2014-09       Impact factor: 4.357

3.  A framework for multi-scale modelling.

Authors:  B Chopard; Joris Borgdorff; A G Hoekstra
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2014-08-06       Impact factor: 4.226

4.  Modeling heterogeneous tumor growth dynamics and cell-cell interactions at single-cell and cell-population resolution.

Authors:  Leonard A Harris; Samantha Beik; Patricia M M Ozawa; Lizandra Jimenez; Alissa M Weaver
Journal:  Curr Opin Syst Biol       Date:  2019-09-16

5.  A cell-based mechanical model of coronary artery tunica media.

Authors:  N B Melnikova; A I Svitenkov; D R Hose; A G Hoekstra
Journal:  J R Soc Interface       Date:  2017-07       Impact factor: 4.118

Review 6.  Systems biology of complex symptom profiles: capturing interactivity across behavior, brain and immune regulation.

Authors:  Gordon Broderick; Travis John Adrian Craddock
Journal:  Brain Behav Immun       Date:  2012-09-28       Impact factor: 7.217

7.  Asymptotic analysis of a TMDD model: when a reaction contributes to the destruction of its product.

Authors:  Lida I Michalaki; Dimitris A Goussis
Journal:  J Math Biol       Date:  2018-04-19       Impact factor: 2.259

8.  New software developments for quality mesh generation and optimization from biomedical imaging data.

Authors:  Zeyun Yu; Jun Wang; Zhanheng Gao; Ming Xu; Masahiko Hoshijima
Journal:  Comput Methods Programs Biomed       Date:  2013-09-04       Impact factor: 5.428

9.  A Novel Method to Verify Multilevel Computational Models of Biological Systems Using Multiscale Spatio-Temporal Meta Model Checking.

Authors:  Ovidiu Pârvu; David Gilbert
Journal:  PLoS One       Date:  2016-05-17       Impact factor: 3.240

10.  Strategies for efficient numerical implementation of hybrid multi-scale agent-based models to describe biological systems.

Authors:  Nicholas A Cilfone; Denise E Kirschner; Jennifer J Linderman
Journal:  Cell Mol Bioeng       Date:  2015-03       Impact factor: 2.321

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