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Database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations and are derived from four sources: Genomic Context, High-throughput experiments, (Conserved) Coexpression, and previous knowledge. STRING quantitatively integrates interaction data from these sources for a large number of organisms, and transfers information between these organisms where applicable. The database currently covers 5''214''234 proteins from 1133 organisms. (2013)
Proper citation: STRING (RRID:SCR_005223) Copy
http://biomine.cs.helsinki.fi/
Service that integrates cross-references from several biological databases into a graph model with multiple types of edges, such as protein interactions, gene-disease associations and gene ontology annotations. Edges are weighted based on their type, reliability, and informativeness. In particular, it formulates protein interaction prediction and disease gene prioritization tasks as instances of link prediction. The predictions are based on a proximity measure computed on the integrated graph.
Proper citation: Biomine (RRID:SCR_003552) Copy
https://www.signalingpathways.org/ominer/query.jsf
THIS RESOURCE IS NO LONGER IN SERVICE.Documented on February 25, 2022.Software tool as knowledge environment resource that accrues, develops, and communicates information that advances understanding of structure, function, and role in disease of nuclear receptors (NRs) and coregulators. It specifically seeks to elucidate roles played by NRs and coregulators in metabolism and development of metabolic disorders. Includes large validated data sets, access to reagents, new findings, library of annotated prior publications in field, and journal covering reviews and techniques.As of March 20, 2020, NURSA is succeeded by the Signaling Pathways Project (SPP).
Proper citation: Nuclear Receptor Signaling Atlas (RRID:SCR_003287) Copy
A database of protein disorder and mobility annotations. The database features three levels of annotation: manually curated data (which are extracted from the DisProt database), indirect data, and predicted data. Additional annotations are included from external sources, including UniProt, Pfam, PDB, and STRING.
Proper citation: MobiDB (RRID:SCR_014542) Copy
Intergovernmental organisation funded by public research money from its member states in Europe. Groups and laboratories perform basic research in molecular biology and molecular medicine, training for scientists, students and visitors. Provides development of services, new instruments and methods, data and technology in its member states.
Proper citation: European Molecular Biology Laboratory (RRID:SCR_004473) Copy
The NIDDK Information Network (dkNET) is a community-based network to serve needs of basic and clinical investigators that includes large pools of data and research resources relevant to mission of National Institute of Diabetes and Digestive and Kidney Disease.
Proper citation: NIDDK Information Network (dkNET) (RRID:SCR_001606) Copy
http://bioinformatics.sdstate.edu/go/
Software graphical gene set enrichment tool for animals and plants. Graphical web application to gain insights from gene sets. Features include graphical visualization of enrichment results and gene characteristics, and application program interface access to KEGG and STRING for retrieval of pathway diagrams and protein-protein interaction networks.
Proper citation: ShinyGO (RRID:SCR_019213) Copy
Database of protein abundance averages across all three domains of life. Protein abundance database, which contains whole genome protein abundance information across organisms and tissues. Publicly available experimental data are imported and mapped onto common name space and, in case of tandem mass spectrometry data, re-processed using in-house standardized spectral counting pipeline. All datasets in are scored and ranked by importing protein network information. Orthology relations at various hierarchy levels are pre-computed for each protein.
Proper citation: PAXdb (RRID:SCR_018910) Copy
https://apps.cytoscape.org/apps/stringapp
Software application for network analysis and visualization of proteomics data. Cytoscape app that makes it easy to import STRING networks into Cytoscape, retains appearance and many of features of STRING, and integrates data from associated databases.
Proper citation: Cytoscape StringApp (RRID:SCR_025009) Copy
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
