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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
Editor
Cihan H. Dagli
Cihan H. Dagli
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Anna L. Buczak
Anna L. Buczak
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David L. Enke
David L. Enke
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Mark Embrechts
Mark Embrechts
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Okan Ersoy
Okan Ersoy
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ISBN-10:
0791802566
No. of Pages:
1000
Publisher:
ASME Press
Publication date:
2006

Domains are conserved sequence regions in proteins. A protein often contains one to three domains, and the protein function may be inferred from the domain information. While many protein domains have been functionally characterized, the functions of some conserved sequence regions are still poorly understood. The objective of this work is to facilitate the functional annotation of domains using protein-protein interaction data. Our assumption is that if two or more domains co-occur in protein-protein interactions, these domains may be involved in the same biological process. In this work, we first investigate several association rule mining techniques for finding domain correlations. We then propose a new measure, proximity, for mining domain association rules. Finally, we discuss the potential uses of these rules for understanding domain functions.

Abstract
Introduction
Proposed Measure
Experiment Design
Results
Conclusions & Future Work
Acknowledgment
References
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