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Cited by 294

The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index.

Sequence Divergence, Functional Constraint, and Selection in Protein Evolution

Fay, Justin C., Wu, Chung-I·2003·Annual Review of Genomics and Human Genetics

Abstract

The genome sequences of multiple species has enabled functional inferences from comparative genomics. A primary objective is to infer biological functions from the conservation of homologous DNA sequences between species. A second, more difficult, objective is to understand what functional DNA sequences have changed over time and are responsible for species' phenotypic differences. The neutral theory of molecular evolution provides a theoretical framework in which both objectives can be explicitly tested. Development of statistical tests within this framework has provided insight into the evolutionary forces that constrain and in some cases change DNA sequences and the resulting patterns that emerge. In this article, we review recent work on how functional constraint and changes in protein function are inferred from protein polymorphism and divergence data. We relate these studies to our understanding of the neutral theory and adaptive evolution.

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Metadata

Authors
Fay, J. C., & Wu, C.-I.
Venue
Annual Review of Genomics and Human Genetics
Published
2003-09
Volume
4
Issue
1
Pages
213-235
ISSN
  • 1527-8204 (ISSN-L)
  • 1545-293X
OpenAlex
W2115759361
Cited by
294
References
103
FWCI
1.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sequence Divergence, Functional Constraint, and Selection in Protein Evolution. https://app.cochat.ai/papers/10.1146/annurev.genom.4.020303.162528
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Fay, J. C., & Wu, C.-I. (2003). Sequence Divergence, Functional Constraint, and Selection in Protein Evolution. Annual Review of Genomics and Human Genetics. https://doi.org/10.1146/annurev.genom.4.020303.162528

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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.