known and predicted protein-protein interactions
Tutorial and training materials by OpenHelix
|Learn to use STRING, a database of known and predicted protein-protein interactions. Predictions are based on a series of evidences such as gene neighborhood, patterns of co-expression, text-mining of the literature and more. STRING allows the user to view data from individual evidences of interaction or view a 'network' of interactions among a collection of proteins. Learn to use this resource and find interaction predictions to facilitate characterization of gene and protein function.|
- how to search for predicted interactions with a selected gene product
- how to view networks of interactions among individual molecules or COGs
- the many types of evidences of interaction and how to analyze them
- how to find information from outside sources used in the predictions
This tutorial is a part of the tutorial group Bork Group Resources. You might find the other tutorials in the group interesting:
Recent BioMed Central research articles citing this resource
Sánchez-Rodríguez Aminael et al., A network-based approach to identify substrate classes of bacterial glycosyltransferases Prokaryote microbial genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-349
Coelho D Edgar et al., Computational prediction of the human-microbial oral interactome Systems physiology, pharmacology and medicine. BMC Systems Biology (2014) doi:10.1186/1752-0509-8-24
Song Fei et al., Plasma protein profiling of Mild Cognitive Impairment and Alzheimer’s disease using iTRAQ quantitative proteomics. Proteome Science (2014) doi:10.1186/1477-5956-12-5
Li Shuxian et al., Global secretome characterization of A549 human alveolar epithelial carcinoma cells during Mycoplasma pneumoniae infection Microbial genetics, genomics and proteomics. BMC Microbiology (2014) doi:10.1186/1471-2180-14-27
Salazar A Gustavo et al., A web-based protein interaction network visualizer Imaging, image analysis and data visualization. BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-129
More about the resource:
The STRING database of predicted molecular interactions was developed by the Bork Lab at the European Molecular Biology Laboratory (EMBL) in Heidelberg Germany. Predictions are based on a series of evidences and given scores of probability. Researchers can search for specific protein interactions (using gene name or other identifiers) or search for COG (Cluster of Orthologous Groups) predicted interactions. Most data views link out to other more detailed databases. This resource is a free publicly available tool.
The materials and slides offered can not be resold or used for profit purposes. Reproduction, distribution and/or use is strictly limited to instructional purposes only and can not be used for for monetary gain or wide distribution.
Copyright 2009, OpenHelix, LLC.