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→Overview 概述
系统生物学是这样一个研究领域，研究生物系统各组成部分之间的相互作用，以及这些相互作用如何产生该系统的功能和行为(例如，代谢通路或心跳中的酶和代谢物)。
系统生物学是这样一个研究领域，研究生物系统各组成部分之间的相互作用，以及这些相互作用如何产生该系统的功能和行为(例如，代谢通路或心跳中的酶和代谢物)。
--[[用户:CecileLi|CecileLi]]([[用户讨论:CecileLi|讨论]]) 【审校】“系统生物学是这样一个研究领域，研究生物系统各组成部分之间的相互作用，以及这些相互作用如何产生该系统的功能和行为(例如，代谢通路或心跳中的酶和代谢物)。”一整句改为“尤其是作为一个研究领域，系统生物学研究关于生物系统的组成部分之间的互动，以及各系统要素的相互作用如何产生该系统的功能和行为（例如，代谢通路中或心跳时产生的酶和代谢物)。”
As a [[paradigm]], systems biology is usually defined in antithesis to the so-called [[reductionist]] paradigm ([[biological organisation]]), although it's fully consistent with the [[scientific method]]. The distinction between the two paradigms is referred to in these quotations: "The [[Reductionism|reductionist]] approach has successfully identified most of the components and many of the interactions but, unfortunately, offers no convincing concepts or methods to understand how system properties emerge ... the pluralism of causes and effects in biological networks is better addressed by observing, through quantitative measures, multiple components simultaneously and by rigorous data integration with mathematical models." (Sauer ''et al.'')<ref name="sauer07" /> "Systems biology ... is about putting together rather than taking apart, integration rather than reduction. It requires that we develop ways of thinking about integration that are as rigorous as our reductionist programmes, but different. ... It means changing our philosophy, in the full sense of the term." ([[Denis Noble]])<ref name="noble06" />
As a [[paradigm]], systems biology is usually defined in antithesis to the so-called [[reductionist]] paradigm ([[biological organisation]]), although it's fully consistent with the [[scientific method]]. The distinction between the two paradigms is referred to in these quotations: "The [[Reductionism|reductionist]] approach has successfully identified most of the components and many of the interactions but, unfortunately, offers no convincing concepts or methods to understand how system properties emerge ... the pluralism of causes and effects in biological networks is better addressed by observing, through quantitative measures, multiple components simultaneously and by rigorous data integration with mathematical models." (Sauer ''et al.'')<ref name="sauer07" /> "Systems biology ... is about putting together rather than taking apart, integration rather than reduction. It requires that we develop ways of thinking about integration that are as rigorous as our reductionist programmes, but different. ... It means changing our philosophy, in the full sense of the term." ([[Denis Noble]])<ref name="noble06" />