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PreSPI: Protein-Protein Interaction Prediction Service System  

Han Dong-Soo (한국정보통신대학교 공학부)
Kim Hong-Soog (한국전자통신연구원 이동통신연구단)
Jang Woo-Hyuk (한국정보통신대학교 공학부)
Lee Sung-Doke (한국정보통신대학교 공학부)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.11, no.6, 2005 , pp. 503-513 More about this Journal
Abstract
With the recognition of the importance of computational approach for protein-protein interaction prediction, many techniques have been developed to computationally predict protein-protein interactions. However, few techniques are actually implemented and announced in service form for general users to readily access and use the techniques. In this paper, we design and implement a protein interaction prediction service system based on the domain combination based protein-protein interaction prediction technique, which is known to show superior accuracy to other conventional computational protein-protein interaction prediction methods. In the prediction accuracy test of the method, high sensitivity($77\%$) and specificity($95\%$) are achieved for test protein pairs containing common domains with teaming sets of proteins in a Yeast. The stability of the method is also manifested through the testing over DIP CORE, HMS-PCI, and TAP data. Performance, openness and flexibility are the major design goals and they are achieved by adopting parallel execution techniques, web Services standards, and layered architecture respectively. In this paper, several representative user interfaces of the system are also introduced with comprehensive usage guides.
Keywords
PreSPI; protein-protein Interaction prediction; domain combination; web services; AP matrix; primary interaction probability;
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Times Cited By KSCI : 1  (Citation Analysis)
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