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Cited by 472

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Relating Three-Dimensional Structures to Protein Networks Provides Evolutionary Insights

Kim, Philip M., Lu, Long J., Xia, Yu, Gerstein, Mark B.·2006·Science

Abstract

Most studies of protein networks operate on a high level of abstraction, neglecting structural and chemical aspects of each interaction. Here, we characterize interactions by using atomic-resolution information from three-dimensional protein structures. We find that some previously recognized relationships between network topology and genomic features (e.g., hubs tending to be essential proteins) are actually more reflective of a structural quantity, the number of distinct binding interfaces. Subdividing hubs with respect to this quantity provides insight into their evolutionary rate and indicates that additional mechanisms of network growth are active in evolution (beyond effective preferential attachment through gene duplication).

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Metadata

Authors
Kim, P. M., Lu, L. J., Xia, Y., & Gerstein, M. B.
Venue
Science
Published
2006-12-22
Volume
314
Issue
5807
Pages
1938-1941
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1980800453
Cited by
472
References
4
FWCI
14.49
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Relating Three-Dimensional Structures to Protein Networks Provides Evolutionary Insights. https://app.cochat.ai/papers/10.1126/science.1136174
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Kim, P. M., Lu, L. J., Xia, Y., & Gerstein, M. B. (2006). Relating Three-Dimensional Structures to Protein Networks Provides Evolutionary Insights. Science. https://doi.org/10.1126/science.1136174

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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.