The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The ProDom database of protein domain families: more emphasis on 3D
Open accessAbstract
ProDom is a comprehensive database of protein domain families generated from the global comparison of all available protein sequences. Recent improvements include the use of three-dimensional (3D) information from the SCOP database; a completely redesigned web interface (http://www.toulouse.inra.fr/prodom.html); visualization of ProDom domains on 3D structures; coupling of ProDom analysis with the Geno3D homology modelling server; Bayesian inference of evolutionary scenarios for ProDom families. In addition, we have developed ProDom-SG, a ProDom-based server dedicated to the selection of candidate proteins for structural genomics.
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
Kabsch, W., & Sander, C. (1983) · Biopolymers · doi:10.1002/bip.360221211 · Cited by 15,320
Cited by
The InterPro protein families and domains database: 20 years on
Blum, M., Chang, H.-Y., Chuguransky, S., Grego, T., Kandasaamy, S., Mitchell, A., Nuka, G., Paysan-Lafosse, T., Qureshi, M., Raj, S., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa977 · Cited by 2,231
InterPro: the integrative protein signature database
Hunter, S., Apweiler, R., Attwood, T. K., Bairoch, A., Bateman, A., Binns, D., Bork, P., Das, U., Daugherty, L., Duquenne, L., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn785 · Cited by 2,107
InterPro in 2019: improving coverage, classification and access to protein sequence annotations
Mitchell, A. L., Attwood, T. K., Babbitt, P. C., Blum, M., Bork, P., Bridge, A., Brown, S. D., Chang, H.-Y., El-Gebali, S., Fraser, M. I., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1100 · Cited by 1,426
Comparative protein structure modeling using MODELLER
Webb, B., & Sali, A. (2016) · Current Protocols in Protein Science · doi:10.1002/cpps.20 · Cited by 730
Improved human disease candidate gene prioritization using mouse phenotype
Chen, J., Xu, H., Aronow, B. J., & Jegga, A. G. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-392 · Cited by 284
Metadata
- Authors
- Bru, C.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-12-17
- Volume
- 33
- Issue
- Database issue
- Pages
- D212-D215
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2014719716
- Cited by
- 351
- References
- 1
- FWCI
- 7.43
- Type
- journal article
- Language
- en
- Open access
- hybrid
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.
