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Space as the final frontier in stochastic simulations of biological systems
Author(s) -
Lemerle Caroline,
Di Ventura Barbara,
Serrano Luis
Publication year - 2005
Publication title -
febs letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.593
H-Index - 257
eISSN - 1873-3468
pISSN - 0014-5793
DOI - 10.1016/j.febslet.2005.02.009
Subject(s) - computer science , biochemical engineering , stochastic modelling , current (fluid) , space (punctuation) , complex system , stochastic simulation , management science , data science , statistical physics , systems engineering , engineering , artificial intelligence , physics , mathematics , statistics , electrical engineering , operating system
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.