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The Pfam Protein Families Database
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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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Three-dimensional reconstruction of protein networks provides insight into human genetic disease
Wang, X., Wei, X., Thijssen, B., Das, J., Lipkin, S. M., & Yu, H. (2012) · Nature Biotechnology · doi:10.1038/nbt.2106 · Cited by 385
Evaluation of methods for modeling transcription factor sequence specificity
DREAM5 Consortium, Weirauch, M. T., Cote, A., Norel, R., Annala, M., Zhao, Y., Riley, T. R., Saez-Rodriguez, J., Cokelaer, T., Vedenko, A., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2486 · Cited by 381
Carnitine metabolism to trimethylamine by an unusual Rieske-type oxygenase from human microbiota
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Chemistry of the Retinoid (Visual) Cycle
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Systematic Discovery of New Recognition Peptides Mediating Protein Interaction Networks
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Linear motifs: Evolutionary interaction switches
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DNA methylation presents distinct binding sites for human transcription factors
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A Human-Curated Annotation of the Candida albicans Genome
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Crystal structure and mechanism of a bacterial fluorinating enzyme
Dong, C., Huang, F., Deng, H., Schaffrath, C., Spencer, J. B., O'Hagan, D., & Naismith, J. H. (2004) · Nature · doi:10.1038/nature02280 · Cited by 335
Cnidarian Cell Type Diversity and Regulation Revealed by Whole-Organism Single-Cell RNA-Seq
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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.