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Cited by 550

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Mechanosensitive Self-Replication Driven by Self-Organization

Open access
Carnall, Jacqui M. A., Waudby, Christopher A., Belenguer, Ana M., Stuart, Marc C. A., Peyralans, Jérôme J.-P., Otto, Sijbren·2010·Science

Abstract

At Sixes and Sevens: Molecular synthesis and macroscopic aggregation have often been regarded as entirely separate processes. From the researcher's standpoint, once reagents have been mixed, synthesis is largely passive, whereas processes such as crystallization can be more actively manipulated. Carnall et al. (p. 1502 ) characterized an unusual system in which the formation of aggregated cyclic macromolecules (macrocycles) from small peptide-based building blocks was governed by intimately interdependent factors ranging from the scale of covalent bond formation all the way to micron scale fiber growth. As the macrocycles stacked against one another to form the fibers, they remained loosely bonded enough internally to incorporate or expel individual building blocks. Varying the type of mechanical force applied to the growing fibers (either through shaking or stirring the solution), alternately favored formation of either 6-membered or 7-membered covalent macrocycles.

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Research works printed but not linked: 29

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Metadata

Authors
Carnall, J. M. A., Waudby, C. A., Belenguer, A. M., Stuart, M. C. A., Peyralans, J. J.-P., & Otto, S.
Venue
Science
Published
2010-03-19
Volume
327
Issue
5972
Pages
1502-1506
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2060093678
Cited by
550
References
5
FWCI
16.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Mechanosensitive Self-Replication Driven by Self-Organization. https://app.cochat.ai/papers/10.1126/science.1182767
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Carnall, J. M. A., Waudby, C. A., Belenguer, A. M., Stuart, M. C. A., Peyralans, J. J.-P., & Otto, S. (2010). Mechanosensitive Self-Replication Driven by Self-Organization. Science. https://doi.org/10.1126/science.1182767

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.