The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Similar Amino Acid Sequences: Chance or Common Ancestry?
Abstract
The systematic comparison of every newly determined amino acid sequence with all other known sequences may allow a complete reconstruction of the evolutionary events leading to contemporary proteins. But sometimes the surviving similarities are so vague that even computer-based sequence comparison procedures are unable to validate relationships. In other cases similar sequences may appear in totally alien proteins as a result of mere chance or, occasionally, by the convergent evolution of sequences with special properties.
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Citations
Cites
Needleman, S. B., & Wunsch, C. D. (1970) · Journal of Molecular Biology · doi:10.1016/0022-2836(70)90057-4 · Cited by 11,288
Cited by
A simple method for displaying the hydropathic character of a protein
Kyte, J., & Doolittle, R. F. (1982) · Journal of Molecular Biology · doi:10.1016/0022-2836(82)90515-0 · Cited by 22,843
Self-citationImproved tools for biological sequence comparison.
Pearson, W. R., & Lipman, D. J. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.8.2444 · Cited by 11,227
Walker, J. E., Saraste, M., Runswick, M. J., & Gay, N. J. (1982) · The EMBO Journal · doi:10.1002/j.1460-2075.1982.tb01276.x · Cited by 5,312
Rapid and sensitive protein similarity searches
Lipman, D. J., & Pearson, W. R. (1985) · Science · doi:10.1126/science.2983426 · Cited by 4,033
Twilight zone of protein sequence alignments
Rost, B. (1999) · Protein Engineering, Design and Selection · doi:10.1093/protein/12.2.85 · Cited by 1,833
Metadata
- Authors
- Doolittle, R. F.
- Venue
- Science
- Published
- 1981-10-09
- Volume
- 214
- Issue
- 4517
- Pages
- 149-159
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2005313213
- Cited by
- 843
- References
- 1
- FWCI
- 23.69
- Type
- journal article
- Language
- en
- Open access
- closed
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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.