Nonlinear delay differential equations and their application to modeling biological network motifs

Network motif models focus on small sub-networks in biological systems to quantitatively describe overall behavior but they often overlook time delays. Here, the authors systematically examine the most common network motifs via delay differential equations (DDE), often leading to more concise descri...

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Autores principales: David S. Glass, Xiaofan Jin, Ingmar H. Riedel-Kruse
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/aba959ab8e8b4d49bc6ed53854e3b5b3
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Sumario:Network motif models focus on small sub-networks in biological systems to quantitatively describe overall behavior but they often overlook time delays. Here, the authors systematically examine the most common network motifs via delay differential equations (DDE), often leading to more concise descriptions.