Space as the final frontier in stochastic simulations of biological systems

被引：52

作者：

Lemerle, C ^{[1
]}

Di Ventura, B ^{[1
]}

Serrano, L ^{[1
]}

机构：

[1] European Mol Biol Lab, D-69117 Heidelberg, Germany

来源：

FEBS LETTERS | 2005年 / 579卷 / 08期

关键词：

spatial modeling; stochastic simulation; reaction-diffusion; simulation algorithm; modeling software;

D O I：

10.1016/j.febslet.2005.02.009

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Recent technological and theoretical advances are only now allowing the simulation of detailed kinetic models of biological systems that reflect the stochastic movement and reactivity of individual molecules within cellular compartments. The behavior of many systems could not be properly understood without this level of resolution, opening up new perspectives of using computer simulations to accelerate biological research. We review the modeling methodology applied to stochastic spatial models, also to the attention of non-expert potential users. Modeling choices, current limitations and perspectives of improvement of current general-purpose modeling/simulation platforms for biological systems are discussed. (c) 2005 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

引用

页码：1789 / 1794

页数：6

共 42 条

[1] In silico reconstitution of Listeria propulsion exhibits nano-saltation [J].