Understanding and modelling of biological noise, that plays an important role in cell fate decisions, environmental sensing and cell-cell communication, is another issue of main interest, as reported by Eldar and Elowitz in a recent review ( Eldar and Elowitz, 2010).Ĭlas Blomberg, in Physics of Life, 2007 18A Introduction: general account Just to cite a few advanced topics that are currently considered: models of passive and active transport in cells models of self-organization of cytoskeletal structures models for the interplay between diffusion and nonlinear chemical reactions. The relevance of noise and stochastic modelling to state-of-the-art molecular and cell biology is thus unquestionable. “The message that keeps being repeated is that the kinetics of biological processes at the intra-cellular level are stochastic, and that cellular function cannot be properly understood without building that stochasticity into in silico models” ( Wilkinson, 2012, Preface). Stochastic processes and biological/biochemical modelling are increasingly merging in recent years as technology has started giving real insight into intra-cellular processes: quantitative real-time imaging of expression at the single-cell level and improvement in computing technology are allowing modelling and stochastic simulation of such systems at levels of detail previously impossible. Maria Francesca Carfora, in Encyclopedia of Bioinformatics and Computational Biology, 2019 Future Directions/Closing Remarks
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