Evidence map›Paper›PMID 26633127›Full record

ArticleNature protocols2016

SIFT missense predictions for genomes.

Robert Vaser, Swarnaseetha Adusumalli, Sim Ngak Leng, Mile Sikic, Pauline C Ng

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 919 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
919citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

919 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Clinical and genetic characteristics ofJournal of medical genetics · 2025
    Pooled it
  3. Pooled it
  4. Enteric-colonizedGut microbes · 2026
    Article
  5. Discovery of novel alleles in Kartagener's syndrome.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  6. Article
  7. Article
  8. Repeated genetic adaptation under demographic limits in kiwifruit.The Plant journal : for cell and molecular biology · 2026
    Article
  9. Sexual selection purges mutation load, but not overall genetic diversity, decreasing vulnerability to extinction.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

859 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Robert VaserFaculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia.
Swarnaseetha AdusumalliComputational and Systems Biology Group, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.ORCID http://orcid.org/0000-0003-0704-9061
Sim Ngak LengComputational and Systems Biology Group, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Mile SikicFaculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia.ORCID http://orcid.org/0000-0002-8370-0891
Pauline C NgComputational and Systems Biology Group, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SIFT (sorting intolerant from tolerant) algorithm helps bridge the gap between mutations and phenotypic variations by predicting whether an amino acid substitution is deleterious. SIFT has been used in disease, mutation and genetic studies, and a protocol for its use has been previously published with Nature Protocols. This updated protocol describes SIFT 4G (SIFT for genomes), which is a faster version of SIFT that enables practical computations on reference genomes. Users can get predictions for single-nucleotide variants from their organism of interest using the SIFT 4G annotator with SIFT 4G's precomputed databases. The scope of genomic predictions is expanded, with predictions available for more than 200 organisms. Users can also run the SIFT 4G algorithm themselves. SIFT predictions can be retrieved for 6.7 million variants in 4 min once the database has been downloaded. If precomputed predictions are not available, the SIFT 4G algorithm can compute predictions at a rate of 2.6 s per protein sequence. SIFT 4G is available from http://sift-dna.org/sift4g.

Indexed as

AlgorithmsDatabases, ProteinGenomicsHumansMolecular Sequence AnnotationMutation, MissensePhenotypeReference Standards

Identifiers

PMID26633127

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.