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Results for “Genomic profiling”

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A motif-based profile scanning approach for genome-wide prediction of signaling pathways.

The rapid increase in genomic information requires new techniques to infer protein function and predict protein-protein interactions. Bioinformatics identifies modular signaling domains within protein sequences with a high degree of accuracy. In contrast, little success has been achieved in predicting short linear sequence motifs within proteins targeted by these domains to form complex signaling networks. Here we describe a peptide library-based searching algorithm, accessible over the World Wide Web, that identifies sequence motifs likely to bind to specific protein domains such as 14-3-3, SH2, and SH3 domains, or likely to be phosphorylated by specific protein kinases such as Src and AKT. Predictions from database searches for proteins containing motifs matching two different domains in a common signaling pathway provides a much higher success rate. This technology facilitates prediction of cell signaling networks within proteomes, and could aid in the identification of drug targets for the treatment of human diseases.

Algorithms↗

Linking publication, gene and protein data.

The computational reconstruction of biological systems, 'systems biology', is necessarily dependent on the existence of well-annotated data sets defining and describing the components of these systems, especially genes and the proteins they encode. Information about these components can be accessed either through structured bioinformatics databases, which store basic chemical and functional information abstracted from (or supplementing) the scientific literature, or through the literature itself, which is richer in content but essentially unstructured.

Amino Acid Sequence↗

GenePattern 2.0.

Explore the source record for details and available documents.

Gene Expression Profiling↗