Please use this identifier to cite or link to this item: https://biore.bio.bg.ac.rs/handle/123456789/412
Title: From biophysics to 'omics and systems biology
Authors: Đorđević, Marko 
Rodić, Anđela 
Graovac, Stefan 
Keywords: Biophysical modelling;Gene expression regulation;Intracellular dynamics;Sequence analysis;Systems biology
Issue Date: 9-Apr-2019
Rank: M22
Journal: European biophysics journal : EBJ
Abstract: 
Recent decades brought a revolution to biology, driven mainly by exponentially increasing amounts of data coming from "'omics" sciences. To handle these data, bioinformatics often has to combine biologically heterogeneous signals, for which methods from statistics and engineering (e.g. machine learning) are often used. While such an approach is sometimes necessary, it effectively treats the underlying biological processes as a black box. Similarly, systems biology deals with inherently complex systems, characterized by a large number of degrees of freedom, and interactions that are highly non-linear. To deal with this complexity, the underlying physical interactions are often (over)simplified, such as in Boolean modelling of network dynamics. In this review, we argue for the utility of applying a biophysical approach in bioinformatics and systems biology, including discussion of two examples from our research which address sequence analysis and understanding intracellular gene expression dynamics.
URI: https://biore.bio.bg.ac.rs/handle/123456789/412
DOI: 10.1007/s00249-019-01366-3
Appears in Collections:Journal Article

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