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The Pfam Protein Families Database
Open accessAbstract
Pfam is a large collection of protein multiple sequence alignments and profile hidden Markov models. Pfam is available on the World Wide Web in the UK at http://www.sanger.ac.uk/Software/Pfam/, in Sweden at http://www.cgb.ki.se/Pfam/, in France at http://pfam.jouy.inra.fr/ and in the US at http://pfam.wustl.edu/. The latest version (6.6) of Pfam contains 3071 families, which match 69% of proteins in SWISS-PROT 39 and TrEMBL 14. Structural data, where available, have been utilised to ensure that Pfam families correspond with structural domains, and to improve domain-based annotation. Predictions of non-domain regions are now also included. In addition to secondary structure, Pfam multiple sequence alignments now contain active site residue mark-up. New search tools, including taxonomy search and domain query, greatly add to the functionality and usability of the Pfam resource.
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Lee, J.-H., & O’Sullivan, D. J. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.72.1.527-535.2006 · Cited by 66
Deep Conservation of Human Protein Tandem Repeats within the Eukaryotes
Schaper, E., Gascuel, O., & Anisimova, M. (2014) · Molecular Biology and Evolution · doi:10.1093/molbev/msu062 · Cited by 65
A Novel Requirement for C. elegans Alix/ALX-1 in RME-1-Mediated Membrane Transport
Shi, A., Pant, S., Balklava, Z., Chen, C. C.-H., Figueroa, V., & Grant, B. D. (2007) · Current Biology · doi:10.1016/j.cub.2007.10.045 · Cited by 64
Lipinski, K. A., Puchta, O., Surendranath, V., Kudla, M., & Golik, P. (2011) · Molecular Biology and Evolution · doi:10.1093/molbev/msr120 · Cited by 62
Nucleophilic 1,4-Additions for Natural Product Discovery
Cox, C. L., Tietz, J. I., Sokolowski, K., Melby, J. O., Doroghazi, J. R., & Mitchell, D. A. (2014) · ACS Chemical Biology · doi:10.1021/cb500324n · Cited by 63
TM6SF2 and MAC30, new enzyme homologs in sterol metabolism and common metabolic disease
Sanchez-Pulido, L., & Ponting, C. P. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00439 · Cited by 63
LUCApedia: a database for the study of ancient life
Goldman, A. D., Bernhard, T. M., Dolzhenko, E., & Landweber, L. F. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1217 · Cited by 58
Comparative Analysis of RNA Families Reveals Distinct Repertoires for Each Domain of Life
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Metadata
- Authors
- Bateman, A.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-01-01
- Volume
- 30
- Issue
- 1
- Pages
- 276-280
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2141885858
- Cited by
- 14,000
- References
- 4
- FWCI
- 232.29
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.