標題: Enzyme Reaction Annotation Using Cloud Techniques
作者: Huang, Chuan-Ching
Lin, Chun-Yuan
Chang, Cheng-Wen
Tang, Chuan Yi
應用化學系
Department of Applied Chemistry
公開日期: 2013
摘要: An understanding of the activities of enzymes could help to elucidate the metabolic pathways of thousands of chemical reactions that are catalyzed by enzymes in living systems. Sophisticated applications such as drug design and metabolic reconstruction could be developed using accurate enzyme reaction annotation. Because accurate enzyme reaction annotation methods create potential for enhanced production capacity in these applications, they have received greater attention in the global market. We propose the enzyme reaction prediction (ERP) method as a novel tool to deduce enzyme reactions from domain architecture. We used several frequency relationships between architectures and reactions to enhance the annotation rates for single and multiple catalyzed reactions. The deluge of information which arose from high-throughput techniques in the postgenomic era has improved our understanding of biological data, although it presents obstacles in the data-processing stage. The high computational capacity provided by cloud computing has resulted in an exponential growth in the volume of incoming data. Cloud services also relieve the requirement for large-scale memory space required by this approach to analyze enzyme kinetic data. Our tool is designed as a single execution file; thus, it could be applied to any cloud platform in which multiple queries are supported.
URI: http://hdl.handle.net/11536/22808
http://dx.doi.org/10.1155/2013/140237
ISSN: 2314-6133
DOI: 10.1155/2013/140237
期刊: BIOMED RESEARCH INTERNATIONAL
顯示於類別:期刊論文


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