The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
SMART: recent updates, new developments and status in 2020
Open accessAbstract
SMART (Simple Modular Architecture Research Tool) is a web resource (https://smart.embl.de) for the identification and annotation of protein domains and the analysis of protein domain architectures. SMART version 9 contains manually curated models for more than 1300 protein domains, with a topical set of 68 new models added since our last update article (1). All the new models are for diverse recombinase families and subfamilies and as a set they provide a comprehensive overview of mobile element recombinases namely transposase, integrase, relaxase, resolvase, cas1 casposase and Xer like cellular recombinase. Further updates include the synchronization of the underlying protein databases with UniProt (2), Ensembl (3) and STRING (4), greatly increasing the total number of annotated domains and other protein features available in architecture analysis mode. Furthermore, SMART’s vector-based protein display engine has been extended and updated to use the latest web technologies and the domain architecture analysis components have been optimized to handle the increased number of protein features available.
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Cites
Cd-hit: Accelerated for clustering the next-generation sequencing data
Fu, L., Niu, B., Zhu, Z., Wu, S., & Li, W. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts565 · Cited by 11,175
UniProt: a worldwide hub of protein knowledge
The UniProt Consortium (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1049 · Cited by 7,698
Accelerated Profile HMM Searches
Eddy, S. R. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002195 · Cited by 6,975
The Pfam protein families database in 2019
El-Gebali, S., Mistry, J., Bateman, A., Eddy, S. R., Luciani, A., Potter, S. C., Qureshi, M., Richardson, L. J., Salazar, G. A., Smart, A., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky995 · Cited by 4,602
Cited by
Systematic discovery of protein interaction interfaces using AlphaFold and experimental validation
Lee, C. Y., Hubrich, D., Varga, J. K., Schäfer, C., Welzel, M., Schumbera, E., Djokic, M., Strom, J. M., Schönfeld, J., Geist, J. L., et al. (2024) · Molecular Systems Biology · doi:10.1038/s44320-023-00005-6 · Cited by 105
“We searched for functional annotations and existing structures for the monomers using the PDB, ProViz (Jehl et al, 2016), SMART (Letunic et al, 2021), and the scienti fi c literature to identify enzymatic pockets or binding interfaces for DNA, RNA, or metal ions.”
Systematic discovery of protein interaction interfaces using AlphaFold and experimental validation
Lee, C. Y., Hubrich, D., Varga, J. K., Schäfer, C., Welzel, M., Schumbera, E., Đokić, M., Strom, J. M., Schönfeld, J., Geist, J. L., et al. (2023) · doi:10.1101/2023.08.07.552219 · Cited by 105
Mining the CRBN target space redefines rules for molecular glue-induced neosubstrate recognition
Petzold, G., Gainza, P., Annunziato, S., Lamberto, I., Trenh, P., McAllister, L. A., DeMarco, B., Schwander, L., Bunker, R. D., Zlotosch, M., et al. (2025) · Science · doi:10.1126/science.adt6736 · Cited by 117
A cross-species proteomic map reveals neoteny of human synapse development
Wang, L., Pang, K., Zhou, L., Cebrián-Silla, A., González-Granero, S., Wang, S., Bi, Q., White, M. L., Ho, B., Li, J., et al. (2023) · Nature · doi:10.1038/s41586-023-06542-2 · Cited by 82
Metadata
- Authors
- Letunic, I., Khedkar, S., & Bork, P.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-10-26
- Volume
- 49
- Issue
- D1
- Pages
- D458-D460
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W3093868212
- Cited by
- 2,151
- References
- 4
- FWCI
- 66.45
- Type
- journal article
- Language
- en
- Open access
- gold
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- Letunic, I., Khedkar, S., & Bork, P. (2021). SMART: recent updates, new developments and status in 2020. Nucleic Acids Research. https://doi.org/10.1093/nar/gkaa937
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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.
