The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Universal Protein Resource (UniProt) in 2010
Open accessAbstract
The primary mission of UniProt is to support biological research by maintaining a stable, comprehensive, fully classified, richly and accurately annotated protein sequence knowledgebase, with extensive cross-references and querying interfaces freely accessible to the scientific community. UniProt is produced by the UniProt Consortium which consists of groups from the European Bioinformatics Institute (EBI), the Swiss Institute of Bioinformatics (SIB) and the Protein Information Resource (PIR). UniProt is comprised of four major components, each optimized for different uses: the UniProt Archive, the UniProt Knowledgebase, the UniProt Reference Clusters and the UniProt Metagenomic and Environmental Sequence Database. UniProt is updated and distributed every 3 weeks and can be accessed online for searches or download at http://www.uniprot.org.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
UniRef: comprehensive and non-redundant UniProt reference clusters
Suzek, B. E., Huang, H., McGarvey, P., Mazumder, R., & Wu, C. H. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm098 · Cited by 1,613
Cited by
HMMER web server: interactive sequence similarity searching
Finn, R. D., Clements, J., & Eddy, S. R. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr367 · Cited by 5,952
The Pfam protein families database
Punta, M., Coggill, P. C., Eberhardt, R. Y., Mistry, J., Tate, J., Boursnell, C., Pang, N., Forslund, K., Ceric, G., Clements, J., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1065 · Cited by 3,719
Towards a knowledge-based Human Protein Atlas
Uhlen, M., Oksvold, P., Fagerberg, L., Lundberg, E., Jonasson, K., Forsberg, M., Zwahlen, M., Kampf, C., Wester, K., Hober, S., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt1210-1248 · Cited by 2,440
A new bioinformatics analysis tools framework at EMBL-EBI
Goujon, M., McWilliam, H., Li, W., Valentin, F., Squizzato, S., Paern, J., & Lopez, R. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq313 · Cited by 1,846
Rouillard, A. D., Gundersen, G. W., Fernandez, N. F., Wang, Z., Monteiro, C. D., McDermott, M. G., & Ma’ayan, A. (2016) · Database · doi:10.1093/database/baw100 · Cited by 1,515
NCBI Reference Sequences (RefSeq): current status, new features and genome annotation policy
Pruitt, K. D., Tatusova, T., Brown, G. R., & Maglott, D. R. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1079 · Cited by 1,149
The UCSC genome browser and associated tools
Kuhn, R. M., Haussler, D., & Kent, W. J. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbs038 · Cited by 883
Reactome knowledgebase of human biological pathways and processes
Matthews, L., Gopinath, G., Gillespie, M., Caudy, M., Croft, D., de Bono, B., Garapati, P., Hemish, J., Hermjakob, H., Jassal, B., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn863 · Cited by 873
ConsensusPathDB: toward a more complete picture of cell biology
Kamburov, A., Pentchev, K., Galicka, H., Wierling, C., Lehrach, H., & Herwig, R. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkq1156 · Cited by 671
Current challenges and best-practice protocols for microbiome analysis
Bharti, R., & Grimm, D. G. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbz155 · Cited by 592
deFuse: An Algorithm for Gene Fusion Discovery in Tumor RNA-Seq Data
McPherson, A., Hormozdiari, F., Zayed, A., Giuliany, R., Ha, G., Sun, M. G. F., Griffith, M., Heravi Moussavi, A., Senz, J., Melnyk, N., et al. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001138 · Cited by 557
BRENDA, the enzyme information system in 2011
Scheer, M., Grote, A., Chang, A., Schomburg, I., Munaretto, C., Rother, M., Sohngen, C., Stelzer, M., Thiele, J., & Schomburg, D. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkq1089 · Cited by 409
Protein structure prediction: when is it useful?
Zhang, Y. (2009) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2009.02.005 · Cited by 277
A Systems Biology Approach for the Investigation of the Heparin/Heparan Sulfate Interactome
Ori, A., Wilkinson, M. C., & Fernig, D. G. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.228114 · Cited by 251
Thompson, J. D., Linard, B., Lecompte, O., & Poch, O. (2011) · PLoS ONE · doi:10.1371/journal.pone.0018093 · Cited by 242
Poelmans, G., Pauls, D. L., Buitelaar, J. K., & Franke, B. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.10070948 · Cited by 223
Baroncelli, R., Amby, D. B., Zapparata, A., Sarrocco, S., Vannacci, G., Le Floch, G., Harrison, R. J., Holub, E., Sukno, S. A., Sreenivasaprasad, S., et al. (2016) · BMC Genomics · doi:10.1186/s12864-016-2917-6 · Cited by 179
Evidence for extensive horizontal gene transfer from the draft genome of a tardigrade
Boothby, T. C., Tenlen, J. R., Smith, F. W., Wang, J. R., Patanella, K. A., Osborne Nishimura, E., Tintori, S. C., Li, Q., Jones, C. D., Yandell, M., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1510461112 · Cited by 172
The Evolutionary History of YAP and the Hippo/YAP Pathway
Hilman, D., & Gat, U. (2011) · Molecular Biology and Evolution · doi:10.1093/molbev/msr065 · Cited by 166
A Human-Specific De Novo Protein-Coding Gene Associated with Human Brain Functions
Li, C.-Y., Zhang, Y., Wang, Z., Zhang, Y., Cao, C., Zhang, P.-W., Lu, S.-J., Li, X.-M., Yu, Q., Zheng, X., et al. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000734 · Cited by 130
Towards precision medicine: advances in computational approaches for the analysis of human variants
Peterson, T. A., Doughty, E., & Kann, M. G. (2013) · Journal of Molecular Biology · doi:10.1016/j.jmb.2013.08.008 · Cited by 123
A theoretical molecular network for dyslexia: integrating available genetic findings.
Poelmans, G., Buitelaar, J. K., Pauls, D. L., & Franke, B. (2011) · Molecular Psychiatry · doi:10.1038/mp.2010.105 · Cited by 119
Why do eukaryotic proteins contain more intrinsically disordered regions?
Basile, W., Salvatore, M., Bassot, C., & Elofsson, A. (2019) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1007186 · Cited by 113
Leung, K. K., Wilson, G. M., Kirkemo, L. L., Riley, N. M., Coon, J. J., & Wells, J. A. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1917947117 · Cited by 83
Water and Life: The Medium is the Message
Frenkel-Pinter, M., Rajaei, V., Glass, J. B., Hud, N. V., & Williams, L. D. (2021) · Journal of Molecular Evolution · doi:10.1007/s00239-020-09978-6 · Cited by 71
Protein design via deep learning
Ding, W., Nakai, K., & Gong, H. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac102 · Cited by 66
Fliers, E. A., Vasquez, A. A., Poelmans, G., Rommelse, N., Altink, M., Buschgens, C., Asherson, P., Banaschewski, T., Ebstein, R., Gill, M., et al. (2012) · The World Journal of Biological Psychiatry · doi:10.3109/15622975.2011.560279 · Cited by 46
Nagy, A., Szláma, G., Szarka, E., Trexler, M., Bányai, L., & Patthy, L. (2011) · Genes · doi:10.3390/genes2030449 · Cited by 22
Metadata
- Authors
- The UniProt Consortium
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-10-20
- Volume
- 38
- Issue
- suppl_1
- Pages
- D142-D148
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W4211208250
- Cited by
- 1,257
- References
- 1
- FWCI
- 69.37
- Type
- journal article
- Language
- en
- Open access
- gold
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 ›
Are you an author, or do you see a problem with this page? Request a review
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.
