Open AccessTen steps to investigate a cellular system with mathematical modeling
Author(s) -
Jasia King,
Kerbaï Saïd Eroumé,
Roman Truckenmüller,
Stefan Giselbrecht,
Ann E. Cowan,
Leslie M. Loew,
Aurélie Carlier
Publication year - 2021
Publication title -
plos computational biology/plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1008921
Subject(s) - computer science , in silico , biological system , systems biology , nonlinear system , process (computing) , mathematical model , focus (optics) , complex system , computational biology , artificial intelligence , biology , mathematics , physics , biochemistry , statistics , quantum mechanics , gene , optics , operating system
Cellular and intracellular processes are inherently complex due to the large number of components and interactions, which are often nonlinear and occur at different spatiotemporal scales. Because of this complexity, mathematical modeling is increasingly used to simulate such systems and perform experiments in silico, many orders of magnitude faster than real experiments and often at a higher spatiotemporal resolution. In this article, we will focus on the generic modeling process and illustrate it with an example model of membrane lipid turnover.