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Protein–protein interaction prediction is a field combining bioinformatics and structural biology in an attempt to identify and catalog physical interactions between pairs or groups of proteins. Understanding protein–protein interactions is important for the investigation of intracellular signaling pathways, modelling of protein complex ...
This included rights to the protein interaction database BIND, the small molecule interaction database SMID, as well as the data warehouse SeqHound. Unleashed Informatics is a data management service provider and is overseeing the management and curation of The Blueprint Initiative under the guidance of Dr. Hogue. [1]
Protein–protein docking, the prediction of protein–protein interactions based only on the three-dimensional protein structures from X-ray diffraction of protein crystals might not be satisfactory. [44] [45] Network analysis includes the analysis of interaction networks using methods of graph theory or statistical methods.
The Database of Interacting Proteins (DIP) is a biological database which catalogs experimentally determined interactions between proteins. [ 2 ] [ 3 ] It combines information from a variety of sources to create a single, consistent set of protein–protein interactions.
Exploring the predicted interaction networks can suggest new directions for future experimental research and provide cross-species predictions for efficient interaction mapping. [7] Protein–protein interaction network visualized by STRING. In this view, the color saturation of the edges represents the confidence score of a functional association
The Biological General Repository for Interaction Datasets (BioGRID) is a curated biological database of protein-protein interactions, genetic interactions, chemical interactions, and post-translational modifications created in 2003 (originally referred to as simply the General Repository for Interaction Datasets (GRID) [2] by Mike Tyers, Bobby-Joe Breitkreutz, and Chris Stark at the Lunenfeld ...
In molecular biology, an interactome is the whole set of molecular interactions in a particular cell.The term specifically refers to physical interactions among molecules (such as those among proteins, also known as protein–protein interactions, PPIs; or between small molecules and proteins [1]) but can also describe sets of indirect interactions among genes (genetic interactions).
The Swiss-model Workspace integrates programs and databases required for protein structure prediction and modelling in a web-based workspace. Depending on the complexity of the modelling task, different modes of use can be applied, in which the user has different levels of control over individual modelling steps: automated mode, alignment mode, and project mode.