The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Predicting the Effects of Amino Acid Substitutions on Protein Function
Abstract
Nonsynonymous single nucleotide polymorphisms (nsSNPs) are coding variants that introduce amino acid changes in their corresponding proteins. Because nsSNPs can affect protein function, they are believed to have the largest impact on human health compared with SNPs in other regions of the genome. Therefore, it is important to distinguish those nsSNPs that affect protein function from those that are functionally neutral. Here we provide an overview of amino acid substitution (AAS) prediction methods, which use sequence and/or structure to predict the effect of an AAS on protein function. Most methods predict approximately 25–30% of human nsSNPs to negatively affect protein function, and such nsSNPs tend to be rare in the population. We discuss the utility of AAS prediction methods for Mendelian and complex diseases as well as their broader applications for understanding protein function.
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Cited by
Kumar, P., Henikoff, S., & Ng, P. C. (2009) · Nature Protocols · doi:10.1038/nprot.2009.86 · Cited by 6,521
Self-citationPredicting the Functional Effect of Amino Acid Substitutions and Indels
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Metadata
- Authors
- Ng, P. C., & Henikoff, S.
- Venue
- Annual Review of Genomics and Human Genetics
- Publisher
- Annual Reviews
- Published
- 2006-09-01
- Volume
- 7
- Issue
- 1
- Pages
- 61-80
- ISSN
- 1527-8204 (ISSN-L)
- 1545-293X
- OpenAlex
- W2127981150
- Cited by
- 978
- References
- 9
- FWCI
- 3.06
- Type
- journal article
- Language
- en
- Open access
- closed
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