Building rigid networks with prestress and selective pruning

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. Published by the American Physical Society 2024

Authors

Institutions

Publication Details

Journal
Physical Review Research
Published
2024-10-22
DOI
https://doi.org/10.1103/physrevresearch.6.l042020
Citations
4
Primary Topic
Structural Analysis and Optimization
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Building rigid networks with prestress and selective pruning

John C. Crocker, Marco Aurelio Galvani Cunha, Andrea J. Liu
4 citations
Physical Review Research
Structural Analysis and Optimization
1.04
article

Building rigid networks with prestress and selective pruning

John C. Crocker, Marco Aurelio Galvani Cunha, Andrea J. Liu
article en
4 citations

Abstract

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. Published by the American Physical Society 2024

Physical Review ResearchVol. 6(4)
Santa Fe Institute (US), California University of Pennsylvania (US)
National Science Foundation, Simons Foundation, University of Pennsylvania, Isaac Newton Institute for Mathematical Sciences, University of Cambridge, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 25%
Structural Analysis and Optimization
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.