Designing allostery-inspired response in mechanical networks
Open accessAbstract
Recent advances in designing metamaterials have demonstrated that global mechanical properties of disordered spring networks can be tuned by selectively modifying only a small subset of bonds. Here, using a computationally efficient approach, we extend this idea to tune more general properties of networks. With nearly complete success, we are able to produce a strain between any two target nodes in a network in response to an applied source strain on any other pair of nodes by removing only ∼1% of the bonds. We are also able to control multiple pairs of target nodes, each with a different individual response, from a single source, and to tune multiple independent source/target responses simultaneously into a network. We have fabricated physical networks in macroscopic 2D and 3D systems that exhibit these responses. This work is inspired by the long-range coupled conformational changes that constitute allosteric function in proteins. The fact that allostery is a common means for regulation in biological molecules suggests that it is a relatively easy property to develop through evolution. In analogy, our results show that long-range coupled mechanical responses are similarly easy to achieve in disordered networks.
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Optimizing networks for a geometric task yields networks displaying a powerful lever at the active site, where the signal is required.
“Optimizing the networks for a geometric task, by selecting network structures where binding a ligand leads to a defined displacement on the other side of the network (“active site”), yields networks displaying a powerful lever at the active site, where the signal is required (Flechsig, 2017; Rocks et al., 2017; Yan et al., 2017a, 2017b).”
From Allostery in Its Many Disguises: From Theory to Applications (2019) · cites this paper as Rocks et al., 2017
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- Authors
- Rocks, J. W., Pashine, N., Bischofberger, I., Goodrich, C. P., Liu, A. J., & Nagel, S. R.
- Affiliations
- University of Pennsylvania (US)
- University of Chicago (US)
- Massachusetts Institute of Technology (US)
- Harvard University (US)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2017-02-21
- Volume
- 114
- Issue
- 10
- Pages
- 2520-2525
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC5347623
- OpenAlex
- W2485975781
- Cited by
- 204
- References
- 33
- Citations by year
- 2026: 17 · 2025: 34 · 2024: 18 · 2023: 22 · 2022: 12 · 2021: 27 · 2020: 22 · 2019: 29 · 2018: 14 · 2017: 8 · 2016: 1
- FWCI
- 15.50
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- arXiv (Cornell University)
- Funders
- U.S. Department of Energy (DE-FG02-05ER46199, DE-FG02-03ER46088)
- National Science Foundation Graduate Research Fellowship Program (DGE-1321851)
- Simons Foundation (305547, 327939)
- DOC | National Institute of Standards and Technology (60NANB15D055)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Advanced Materials and Mechanics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
- Physical Sciences › Engineering › Biomedical Engineering › Acoustic Wave Phenomena Research
- Keywords
- allosteric regulation, mechanical metamaterials, spring networks, strain amplification, disordered networks, protein conformational change, network design
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