A computational exploration of resilience and evolvability of protein–protein interaction networks
Brennan Klein et al. propose an adapted network resilience measure, the prospective resilience (PR), to explore the resilience of protein–protein interaction networks following addition of new nodes. They apply PR to public datasets and find that resilience of a network is maximized when attachment...
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| Autores principales: | , , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/29445a7751234166a604ff210360f209 |
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| Sumario: | Brennan Klein et al. propose an adapted network resilience measure, the prospective resilience (PR), to explore the resilience of protein–protein interaction networks following addition of new nodes. They apply PR to public datasets and find that resilience of a network is maximized when attachment of new nodes, or proteins, is based on the gene expression levels of the existing proteins in the network. |
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