Editing Modelling biological systems (section)

'''Modelling biological systems''' is a significant task of [[systems biology]] and [[mathematical biology]].{{efn|Sometimes called theoretical biology, dry biology, or even biomathematics.}} '''Computational systems biology'''{{efn|Computational systems biology is a branch that strives to generate a system-level understanding by analyzing biological data using computational techniques.}}<ref>Andres Kriete, Roland Eils, Computational Systems Biology, Elsevier Academic Press, 2006.</ref> aims to develop and use efficient [[algorithms]], [[data structures]], [[Biological data visualization|visualization]] and communication tools with the goal of [[computer modelling]] of biological systems. It involves the use of [[computer simulation]]s of biological systems, including [[cell (biology)|cellular]] subsystems (such as the [[metabolic network|networks of metabolites]] and [[enzyme]]s which comprise [[metabolism]], [[signal transduction]] pathways and [[gene regulatory network]]s), to both analyze and visualize the complex connections of these cellular processes.<ref>{{Cite journal|last1=Tavassoly|first1=Iman|last2=Goldfarb|first2=Joseph|last3=Iyengar|first3=Ravi|date=2018-10-04|title=Systems biology primer: the basic methods and approaches|journal=Essays in Biochemistry|volume=62|issue=4|language=en|pages=487–500|doi=10.1042/EBC20180003|issn=0071-1365|pmid=30287586|s2cid=52922135 }}</ref>

An unexpected [[emergent property]] of a [[complex system]] may be a result of the interplay of the cause-and-effect among simpler, integrated parts (see [[biological organisation]]).  Biological systems manifest many important examples of emergent properties in the complex interplay of components. Traditional study of biological systems requires reductive methods in which quantities of data are gathered by category, such as concentration over time in response to a certain stimulus. Computers are critical to analysis and modelling of these data. The goal is to create accurate real-time models of a system's response to environmental and internal stimuli, such as a model of a cancer cell in order to find weaknesses in its signalling pathways, or modelling of ion channel mutations to see effects on cardiomyocytes and in turn, the function of a beating heart.