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Cited by 650

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Emergence of Preferred Structures in a Simple Model of Protein Folding

Open access
Li, Hao, Helling, Robert, Tang, Chao, Wingreen, Ned·1996·Science

Abstract

Protein structures in nature often exhibit a high degree of regularity (for example, secondary structure and tertiary symmetries) that is absent from random compact conformations. With the use of a simple lattice model of protein folding, it was demonstrated that structural regularities are related to high “designability” and evolutionary stability. The designability of each compact structure is measured by the number of sequences that can design the structure—that is, sequences that possess the structure as their nondegenerate ground state. Compact structures differ markedly in terms of their designability; highly designable structures emerge with a number of associated sequences much larger than the average. These highly designable structures possess “proteinlike” secondary structure and even tertiary symmetries. In addition, they are thermodynamically more stable than other structures. These results suggest that protein structures are selected in nature because they are readily designed and stable against mutations, and that such a selection simultaneously leads to thermodynamic stability.

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Crossref · 10.1126/science.273.5275.666

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Metadata

Authors
Li, H., Helling, R., Tang, C., & Wingreen, N.
Venue
Science
Published
1996-08-02
Volume
273
Issue
5275
Pages
666-669
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2028841335
Cited by
650
References
2
FWCI
13.24
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Emergence of Preferred Structures in a Simple Model of Protein Folding. https://app.cochat.ai/papers/10.1126/science.273.5275.666
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Li, H., Helling, R., Tang, C., & Wingreen, N. (1996). Emergence of Preferred Structures in a Simple Model of Protein Folding. Science. https://doi.org/10.1126/science.273.5275.666

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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.