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Systematic assessment of high-throughput experimental data for reliable protein interactions using network topology

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4 Author(s)
Jin Chen ; Sch. of Comput., Nat. Univ. of Singapore, Singapore ; W. Hsu ; M. Li Lee ; S. -K. Ng

Current protein interaction detection via high-throughput experimental methods such as yeast-two-hybrid has been reported to be highly erroneous. This work introduces a novel measure called IRAP for assessing the reliability of protein interaction based on the underlying topology of the protein interaction network. A candidate protein interaction is considered to be reliable if it is involved in a closed loop in which the alternative path of interactions between the two interacting proteins is strong. We design an algorithm to compute the IRAP value for each interaction in a protein interaction network. Validation of IRAP as a measure for assessing the reliability of protein-protein interactions from conventional high-throughput experiments is performed. We devise a heuristic algorithm to compute IRAP that is able to achieve a 40% speedup in runtime while maintaining a 95% accuracy.

Published in:

Tools with Artificial Intelligence, 2004. ICTAI 2004. 16th IEEE International Conference on

Date of Conference:

15-17 Nov. 2004