Systems And Methods For Predicting Protein-Protein Interactions

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United States of America Patent

APP PUB NO 20130253894A1
SERIAL NO

13789255

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Abstract

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The present subject matter relates to systems and methods for predicting molecular interactions within biological networks based on structural and non-structural indicators. Such molecules include but are not limited to proteins, nucleic acids and small molecules. In some embodiments, the present subject matter is directed to methods for predicting protein-protein interactions comprising obtaining a pair of query proteins, using sequence alignment to identify structural representatives for each of the pair of query proteins, and using structural alignment to determine sets of close and remote structural neighbors for each of the structural representatives. The method can include analyzing the close and remote structural neighbors to identify a reported complex, and using the reported complex to define a template for creating a model for interaction of the pair of query proteins. In another embodiment, the method includes determining sets of non-structural and structural-based scores to measure properties of the modeled interaction and the query proteins.

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Patent OwnerAddress
THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK412 LOW MEMORIAL LIBRARY 535 WEST 116TH STREET NEW YORK NY 10027

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Califano, Andrea New York, US 38 680
Deng, Lei New York, US 70 155
Honig, Barry New York, US 5 12
Petrey, Donald New York, US 2 1
Zhang, Qiangfeng Cliff New York, US 1 1

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