![[feed]](/style/images/feed-icon-14x14.png){kind=icon}
|
PDF (Original Article)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1MB |
| Item Type: | Article |
|---|---|
| Title: | The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets |
| Creators Name: | Szklarczyk, D. and Gable, A.L. and Nastou, K.C. and Lyon, D. and Kirsch, R. and Pyysalo, S. and Doncheva, N.T. and Legeay, M. and Fang, T. and Bork, P. and Jensen, L.J. and von Mering, C. |
| Abstract: | Cellular life depends on a complex web of functional associations between biomolecules. Among these associations, protein-protein interactions are particularly important due to their versatility, specificity and adaptability. The STRING database aims to integrate all known and predicted associations between proteins, including both physical interactions as well as functional associations. To achieve this, STRING collects and scores evidence from a number of sources: (i) automated text mining of the scientific literature, (ii) databases of interaction experiments and annotated complexes/pathways, (iii) computational interaction predictions from co-expression and from conserved genomic context and (iv) systematic transfers of interaction evidence from one organism to another. STRING aims for wide coverage; the upcoming version 11.5 of the resource will contain more than 14 000 organisms. In this update paper, we describe changes to the text-mining system, a new scoring-mode for physical interactions, as well as extensive user interface features for customizing, extending and sharing protein networks. In addition, we describe how to query STRING with genome-wide, experimental data, including the automated detection of enriched functionalities and potential biases in the user's query data. The STRING resource is available online, at https://string-db.org/. |
| Keywords: | Protein Databases, Protein Interaction Mapping, Proteins, User-Computer Interface |
| Source: | Nucleic Acids Research |
| ISSN: | 0305-1048 |
| Publisher: | Oxford University Press |
| Volume: | 49 |
| Number: | D |
| Page Range: | D605-D612 |
| Date: | 8 January 2021 |
| Additional Information: | Erratum in: Nucleic Acids Res 49(18): 10800. |
| Official Publication: | https://doi.org/10.1093/nar/gkaa1074 |
| PubMed: | View item in PubMed |
Repository Staff Only: item control page
Download Statistics
Download Statistics
