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Method for Predicting Protein Binding from Primary Structure Data

An ambitious goal of proteomics is to elucidate the structure, interactions and functions of all proteins within cells and organisms. The expectation is that this will provide a fuller appreciation of cellular processes and networks at the protein level, ultimately leading to a better understanding of disease mechanisms and suggesting new means for intervention. This technology provides a means to predict protein-protein interactions directly from primary structure and associated data. The system consistently predicts protein interactions at an accuracy rate above 80%.

The methodology may have applications in cell-map proteomics, genetic regulatory circuits modeling, epitope discovery, target-based drug design, cellular signaling and in blood-contacting biomaterials design. Future proteomics studies may benefit from this technology by proceeding directly from the automated identification of a cell's gene products to prediction of protein interaction pairs.

CASE NUMBER: SD2001-034

INQUIRES TO: invent@ucsd.edu

 
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