Building rigid networks with prestress and selective pruning
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arXiv
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866916479631360000 |
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| author | Cunha, Marco Aurelio Galvani Crocker, John C. Liu, Andrea J. |
| author_facet | Cunha, Marco Aurelio Galvani Crocker, John C. Liu, Andrea J. |
| contents | Biopolymer networks from the intracellular to tissue scale display high rigidity and tensile stress while having coordinations well below the normal threshold for mechanical rigidity. The elastic filaments in these networks are often severed by enzymes in a tension-inhibited manner. The effects of such pruning on the mechanics of prestressed networks have not been studied. We show that networks pruned by a tension-inhibited method remain rigid at much lower coordinations than randomly pruned ones. These findings suggest a possible reason for the repeated evolution of tension-inhibited filament-severing proteins. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_06119 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Building rigid networks with prestress and selective pruning Cunha, Marco Aurelio Galvani Crocker, John C. Liu, Andrea J. Soft Condensed Matter Disordered Systems and Neural Networks Biological Physics Biopolymer networks from the intracellular to tissue scale display high rigidity and tensile stress while having coordinations well below the normal threshold for mechanical rigidity. The elastic filaments in these networks are often severed by enzymes in a tension-inhibited manner. The effects of such pruning on the mechanics of prestressed networks have not been studied. We show that networks pruned by a tension-inhibited method remain rigid at much lower coordinations than randomly pruned ones. These findings suggest a possible reason for the repeated evolution of tension-inhibited filament-severing proteins. |
| title | Building rigid networks with prestress and selective pruning |
| topic | Soft Condensed Matter Disordered Systems and Neural Networks Biological Physics |
| url | https://arxiv.org/abs/2312.06119 |