The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
SIFT web server: predicting effects of amino acid substitutions on proteins
Open accessAbstract
The Sorting Intolerant from Tolerant (SIFT) algorithm predicts the effect of coding variants on protein function. It was first introduced in 2001, with a corresponding website that provides users with predictions on their variants. Since its release, SIFT has become one of the standard tools for characterizing missense variation. We have updated SIFT's genome-wide prediction tool since our last publication in 2009, and added new features to the insertion/deletion (indel) tool. We also show accuracy metrics on independent data sets. The original developers have hosted the SIFT web server at FHCRC, JCVI and the web server is currently located at BII. The URL is http://sift-dna.org (24 May 2012, date last accessed).
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A method and server for predicting damaging missense mutations.
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Self-citationThe International HapMap Project
†The International HapMap Consortium, Genotyping centres: Baylor College of Medicine and ParAllele BioScience, Gibbs, R. A., Belmont, J. W., Hardenbol, P., Willis, T. D., Yu, F., Chinese HapMap Consortium, Yang, H., Ch'ang, L.-Y., et al. (2003) · Nature · doi:10.1038/nature02168 · Cited by 6,057
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The Human Gene Mutation Database: 2008 update
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Cited by
The Phyre2 web portal for protein modeling, prediction and analysis
Kelley, L. A., Mezulis, S., Yates, C. M., Wass, M. N., & Sternberg, M. J. E. (2015) · Nature Protocols · doi:10.1038/nprot.2015.053 · Cited by 9,652
Zerbino, D. R., Achuthan, P., Akanni, W., Amode, M. R., Barrell, D., Bhai, J., Billis, K., Cummins, C., Gall, A., Girón, C. G., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1098 · Cited by 2,605
UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches
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SIFT missense predictions for genomes
Vaser, R., Adusumalli, S., Leng, S. N., Sikic, M., & Ng, P. C. (2016) · Nature Protocols · doi:10.1038/nprot.2015.123 · Cited by 1,510
Self-citationHuman primary liver cancer–derived organoid cultures for disease modeling and drug screening
Broutier, L., Mastrogiovanni, G., Verstegen, M. M., Francies, H. E., Gavarró, L. M., Bradshaw, C. R., Allen, G. E., Arnes-Benito, R., Sidorova, O., Gaspersz, M. P., et al. (2017) · Nature Medicine · doi:10.1038/nm.4438 · Cited by 1,471
Metadata
- Authors
- Sim, N.-L., Kumar, P., Hu, J., Henikoff, S., Schneider, G., & Ng, P. C.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-06-09
- Volume
- 40
- Issue
- W1
- Pages
- W452-W457
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2137886330
- Cited by
- 2,411
- References
- 8
- FWCI
- 32.06
- Type
- journal article
- Language
- en
- Open access
- gold
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- Sim, N.-L., Kumar, P., Hu, J., Henikoff, S., Schneider, G., & Ng, P. C. (2012). SIFT web server: predicting effects of amino acid substitutions on proteins. Nucleic Acids Research. https://doi.org/10.1093/nar/gks539
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