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大多数模体功能分析是基于模体孤立运行的情形。最近的研究<ref>{{cite journal |vauthors=Knabe JF, Nehaniv CL, Schilstra MJ |title=Do motifs reflect evolved function?—No convergent evolution of genetic regulatory network subgraph topologies |journal=BioSystems |volume=94 |issue=1–2 |pages=68–74 |year=2008 |pmid=18611431 |doi=10.1016/j.biosystems.2008.05.012 }}</ref>表明网络环境至关重要，不能忽视网络环境而仅从本地结构来对其功能进行推论——引用的论文还回顾了对观测数据的批判及其他可能的解释。人们研究了单个模体模组对网络全局的动力学影响及其分析<ref>{{cite journal |vauthors=Taylor D, Restrepo JG |title=Network connectivity during mergers and growth: Optimizing the addition of a module |journal=Physical Review E |volume=83 |issue=6 |year=2011 |page=66112 |doi=10.1103/PhysRevE.83.066112 |pmid=21797446 |bibcode=2011PhRvE..83f6112T |arxiv=1102.4876 }}</ref>。而另一项近期的研究工作提出生物网络的某些拓扑特征能自然地引起经典模体的常见形态，让人不禁疑问：发生频率是否能证明模体的结构是出于其对所在网络运行的功能性贡献而被保留下的结果？<ref>{{cite journal|last1=Konagurthu|first1=Arun S.|last2=Lesk|first2=Arthur M.|title=Single and multiple input modules in regulatory networks|journal=Proteins: Structure, Function, and Bioinformatics|date=23 April 2008|volume=73|issue=2|pages=320–324|doi=10.1002/prot.22053|pmid=18433061}}</ref><ref>{{cite journal |vauthors=Konagurthu AS, Lesk AM |title=On the origin of distribution patterns of motifs in biological networks |journal=BMC Syst Biol |volume=2 |pages=73 |year=2008 |pmid=18700017 |pmc=2538512 |doi=10.1186/1752-0509-2-73 }} {{open access}}</ref>

大多数模体功能分析是基于模体孤立运行的情形。最近的研究<ref>{{cite journal |vauthors=Knabe JF, Nehaniv CL, Schilstra MJ |title=Do motifs reflect evolved function?—No convergent evolution of genetic regulatory network subgraph topologies |journal=BioSystems |volume=94 |issue=1–2 |pages=68–74 |year=2008 |pmid=18611431 |doi=10.1016/j.biosystems.2008.05.012 }}</ref>表明网络环境至关重要，不能忽视网络环境而仅从本地结构来对其功能进行推论——引用的论文还回顾了对观测数据的批判及其他可能的解释。人们研究了单个模体模组对网络全局的动力学影响及其分析<ref>{{cite journal |vauthors=Taylor D, Restrepo JG |title=Network connectivity during mergers and growth: Optimizing the addition of a module |journal=Physical Review E |volume=83 |issue=6 |year=2011 |page=66112 |doi=10.1103/PhysRevE.83.066112 |pmid=21797446 |bibcode=2011PhRvE..83f6112T |arxiv=1102.4876 }}</ref>。而另一项近期的研究工作提出生物网络的某些拓扑特征能自然地引起经典模体的常见形态，让人不禁疑问：发生频率是否能证明模体的结构是出于其对所在网络运行的功能性贡献而被选择保留下的结果？<ref>{{cite journal|last1=Konagurthu|first1=Arun S.|last2=Lesk|first2=Arthur M.|title=Single and multiple input modules in regulatory networks|journal=Proteins: Structure, Function, and Bioinformatics|date=23 April 2008|volume=73|issue=2|pages=320–324|doi=10.1002/prot.22053|pmid=18433061}}</ref><ref>{{cite journal |vauthors=Konagurthu AS, Lesk AM |title=On the origin of distribution patterns of motifs in biological networks |journal=BMC Syst Biol |volume=2 |pages=73 |year=2008 |pmid=18700017 |pmc=2538512 |doi=10.1186/1752-0509-2-73 }} {{open access}}</ref>