The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored
Open accessAbstract
An essential prerequisite for any systems-level understanding of cellular functions is to correctly uncover and annotate all functional interactions among proteins in the cell. Toward this goal, remarkable progress has been made in recent years, both in terms of experimental measurements and computational prediction techniques. However, public efforts to collect and present protein interaction information have struggled to keep up with the pace of interaction discovery, partly because protein-protein interaction information can be error-prone and require considerable effort to annotate. Here, we present an update on the online database resource Search Tool for the Retrieval of Interacting Genes (STRING); it provides uniquely comprehensive coverage and ease of access to both experimental as well as predicted interaction information. Interactions in STRING are provided with a confidence score, and accessory information such as protein domains and 3D structures is made available, all within a stable and consistent identifier space. New features in STRING include an interactive network viewer that can cluster networks on demand, updated on-screen previews of structural information including homology models, extensive data updates and strongly improved connectivity and integration with third-party resources. Version 9.0 of STRING covers more than 1100 completely sequenced organisms; the resource can be reached at http://string-db.org.
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Cites
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
KEGG for representation and analysis of molecular networks involving diseases and drugs
Kanehisa, M., Goto, S., Furumichi, M., Tanabe, M., & Hirakawa, M. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkp896 · Cited by 2,322
The systems biology graphical notation.
Novère, N. L., Hucka, M., Mi, H., Moodie, S., Schreiber, F., Sorokin, A., Demir, E., Wegner, K., Aladjem, M. I., Wimalaratne, S. M., et al. (2009) · Nature Biotechnology · doi:10.1038/nbt.1558 · Cited by 903
Reactome knowledgebase of human biological pathways and processes
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NCBI Reference Sequences: current status, policy and new initiatives
Pruitt, K. D., Tatusova, T., Klimke, W., & Maglott, D. R. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn721 · Cited by 736 · cited 1×
“Fully sequenced genomes in STRING are imported from RefSeq (45) and Ensembl (46), as well as from a number of dedicated sites, and are hand-screened for completeness and non-redundancy.”
MethodThe IntAct molecular interaction database in 2010
Aranda, B., Achuthan, P., Alam-Faruque, Y., Armean, I., Bridge, A., Derow, C., Feuermann, M., Ghanbarian, A. T., Kerrien, S., Khadake, J., et al. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkp878 · Cited by 620
ConsensusPathDB--a database for integrating human functional interaction networks
Kamburov, A., Wierling, C., Lehrach, H., & Herwig, R. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn698 · Cited by 565
CellML: its future, present and past
Lloyd, C. M., Halstead, M. D. B., & Nielsen, P. F. (2004) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2004.01.004 · Cited by 499
Genome-wide analysis of Notch signalling in Drosophila by transgenic RNAi
Mummery-Widmer, J. L., Yamazaki, M., Stoeger, T., Novatchkova, M., Bhalerao, S., Chen, D., Dietzl, G., Dickson, B. J., & Knoblich, J. A. (2009) · Nature · doi:10.1038/nature07936 · Cited by 305
Cited by
STRING v10: protein–protein interaction networks, integrated over the tree of life
Szklarczyk, D., Franceschini, A., Wyder, S., Forslund, K., Heller, D., Huerta-Cepas, J., Simonovic, M., Roth, A., Santos, A., Tsafou, K. P., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1003 · Cited by 10,436
Self-citationSzklarczyk, D., Morris, J. H., Cook, H., Kuhn, M., Wyder, S., Simonovic, M., Santos, A., Doncheva, N. T., Roth, A., Bork, P., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw937 · Cited by 6,980
Self-citationSTRING v9.1: protein-protein interaction networks, with increased coverage and integration
Franceschini, A., Szklarczyk, D., Frankild, S., Kuhn, M., Simonovic, M., Roth, A., Lin, J., Minguez, P., Bork, P., von Mering, C., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1094 · Cited by 4,398
Self-citationSmall molecules, big targets: drug discovery faces the protein–protein interaction challenge
Scott, D. E., Bayly, A. R., Abell, C., & Skidmore, J. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.29 · Cited by 1,137
Combinatorial drug therapy for cancer in the post-genomic era
Al-Lazikani, B., Banerji, U., & Workman, P. (2012) · Nature Biotechnology · doi:10.1038/nbt.2284 · Cited by 1,070
Metadata
- Authors
- Szklarczyk, D., Franceschini, A., Kuhn, M., Simonovic, M., Roth, A., Minguez, P., Doerks, T., Stark, M., Muller, J., Bork, P., Jensen, L. J., & Mering, C. V.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-11-02
- Volume
- 39
- Issue
- Database
- Pages
- D561-D568
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2057545775
- Cited by
- 3,460
- References
- 9
- FWCI
- 105.39
- Type
- journal article
- Language
- en
- Open access
- gold
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- Szklarczyk, D., Franceschini, A., Kuhn, M., Simonovic, M., Roth, A., Minguez, P., Doerks, T., Stark, M., Muller, J., Bork, P., Jensen, L. J., & Mering, C. V. (2011). The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored. Nucleic Acids Research. https://doi.org/10.1093/nar/gkq973
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